Charles Sturt University
Charles Sturt University

Associate Professor Manoranjan Paul

Associate Professor Manoranjan Paul

PhD Monash

Manoranjan Paul received the B.Sc.Eng. (hons.) degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, in 1997 and the PhD degree from Monash University, Australia in 2005. He has 15 years research experience in image/video and signal processing related fields and 14 years teaching experience in the field of Computer Science & Engineering and Information Technology as an Assistant Professor, Senior Lecturer, Lecturer, and Assistant Lecturer.

Dr. Paul was an Associate Director, Centre for Research in Complex Systems (CRiCS) 2013-2015, Steering Committee Member of Data Science Research Unit 2015–present, and Senior Lecturer, School of Computing and Mathematics, Charles Sturt University.  He joined the department of Computer Science and Engineering, Ahsanullah University of Science and Technology, Bangladesh as a Lecturer in 1997 and was promoted to Assistant Professor in 2000. He has worked as a Research Fellow in the University of New South Wales, ADFA, Canberra, Australia in 2005~2006, Monash University, Australia in 2006~2009, and Nanyang Technological University, Singapore in 2009~2011. Now he is a Faculty Member at the School of Computing and Mathematics of Charles Sturt University, Australia and Associate Director of Centre for Research in complex Systems. He is a video coding expert. His major research interests are in the fields of image/video coding/compression, computer vision, hyperspectral imaging, and EEG signals. He has published more than 110 fully refereed international journals, book chapters, and conference articles. Dr. Paul regularly published in the top ranked journals such as IEEE Transactions on image processing, IEEE Transactions on circuits and systems for video technology, IEEE Transactions on multimedia, IEEE Transactions on biomedical engineering and IEEE Transactions on neural systems and rehabilitation engineering. Dr Paul is a Senior Member of the IEEE ('M03 and SM'13) and ACS (M'05 and SM'13).

Dr. Paul obtained an ARC (Australian Research council) discovery grant on "Multiview Video coding," $315,000 for 2013-2015. Dr. Paul organized special sessions on "New video coding technologies" and "Free viewpoint video challenges", in the IEEE ISCAS-2010 and PCS-2015. He is an invited keynote speakers on "Video Coding" in the IEEE ICCIT-2010, IEEE DICTA-2013, and IEEE WoWMoM-2014. He is an Associate Editor of Eurasip Journal on Advances in Signal Processing. He is also in the editorial board member in the International Journal of Engineering and Industries (IJEI) and International Journal of Soft Computing, Mathematics and Control (IJSCMC). He is also a Guest Editor for five special issues of Journal of Multimedia and Journal of Computers. He is a program committee member of 40 International conferences. He obtained more than $1M in competitive grants including ARC DP project, Australian-China Science Research fund, and ARC Research Network grants. He has supervised 12 PhD, one Masters, and 7 Honours/undergraduate students.

Research Interest: Video coding, Image Processing, Computer Vision, EEG signal processing, Hyperspectral imaging, and Eye tracking technology. Detailed information regarding my research can be found at my personal website.

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Teaching Responsibilities

  • ITC369: Computer Vision
  • ITC713: Advanced Readings in Information Technology
  • ITC200 Database Administration
  • ITC206 Programming in Java 1
  • ITC262 Operating Systems
  • ITC313 Programming in Java 2
  • ITC421 Programming in Java 1 for Postgraduate Students

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Grants

  • Manzur Murshed and Manoranjan Paul, "Multiview Video Coding using Cuboid Data Compression", Australian Research Council (ARC) Discovery Project, $315,000, 2013~2015 (External Grant).
  • L. Ang, K.P. Seng, Manoranjan Paul, and L. Zheng, "Spherical Digital Video Camera for High Precision and Rapid Imaging," CSU RIGB grant, 2015, $31,078.
  • Manoranjan Paul, Junbin Gao, Terry Bossomaier, and Michael Antolovich, "Hyperspectral imaging", Charles Sturt University RIGB grant, 2015, $63,110.
  • Manoranjan Paul and M Z. Parvez, "Epileptic seizure prediction", FoB Compact Funding, Charles Sturt University, 2015, $7,000.
  • Manoranjan Paul, "Video Workshop", FoB Compact Funding, Charles Sturt University, 2015, $10,000.
  • Subrata Chakraborty and Manoranjan Paul, "Depth and Texture Coding", Faculty of Business Compact Funding, 2014, $6,000.
  • Manoranjan Paul, "High performance computing", Execute Deans' Educational Equipment grant, 2014, $20,000.
  • Manoranjan Paul, Junbin Gao, Michael Antolovich, Terry Bossomaier, and Zahid Islam, "Depth image processing", Charles Sturt University Research Infrastructure Block Grants (RIBG), 2013, $50,000.
  • Michael Antolovich, Junbin Gao, Jim Tulip, Manoranjan Paul, David Tien, Wayne Moore, Kevin Wilkins, and David Tilbrook (2013), "Imaging Under Dangerous Conditions, specifically within the Mining Industry," Faculty Compact Funding, 2013, $85,000.
  • Manoranjan Paul, Junbin Gao, Michael Antolovich, Terry Bossomaier, and Zahid Islam, "Abnormal event detection", Charles Sturt University Research Infrastructure Block Grants (RIBG), 2012, $43,000.
  • Junbin Gao, Terry Bossomaier, Manoranjan Paul, Michael Antolovich, and Paul Kwan, "WAREIGS: Wavelet-Network-Based Augmented-Reality-Enhanced Image-Guided Surgery," Australia-China Science Research Fund (ACSRF), 2012, $38,000(External Grant).
  • Junbin Gao, Michael Antolovich, Manoranjan Paul, and Jim Tulip, "Efficient Algorithms for Nuclear Norm Minimization," Faculty of Business Compact grant, 2012-2013, $12,702.
  • Manoranjan Paul, Junbin Gao, Michael Antolovich, and Jim Tulip, "Eye controlled video coding," Faculty of Business Compact grant, 2012-2013, $12,929.
  • Manoranjan Paul, Junbin Gao, Michael, and Terry Bossomaier, "Mentoring support for obtaining grant," Faculty of Business Compact grant, 2011, $9,902.
  • Manoranjan Paul, Junbin Gao, Michael, and Terry Bossomaier, "Project Funding," Faculty of Business Compact grant, 2011, $4,600.
  • Junbin Gao, Michael Antolovich, Manoranjan Paul, Jim Tulip and David Tien, "Visiting Fellow," Faculty of Business Compact grant, 2011, $14,036.
  • Manoranjan Paul, "Charles Sturt University Seed Grant 2011", 2011, $4,620.
  • Manoranjan Paul, "A Real-Time Human Behaviour Recognition Framework for Video Surveillance," Faculty of Information Technology, Monash University Early Career Grant, 2008, $20,000 (Top ranked project but could not obtained due to CI's institution move).
  • Manoranjan Paul and Weisi Lin, "Undergraduate Research Experience on Campus (URECA) project," Nanyang Technological University, 2009, 4× $3600 = $14,400.
  • Weisi Lin and Manoranjan Paul, "Undergraduate Research Experience on Campus (URECA) project," Nanyang Technological University, 2010, 2× $3600 = $7,200.
  • Manoranjan Paul, Manzur Murshed, and Xiaofang Zhou, "Video Signal Processing and Communication Taskforce Grant," ARC (Australian Research Council) Research Network in Enterprise Information Infrastructure (EII), 2007, $25,000 (External Grant).
  • Manoranjan Paul and Heng Tao, "First Australian Video Conference (AusVideo) Grant," ARC (Australian Research Council) Research Network in Enterprise Information Infrastructure (EII), 2007, $10,000 (External Grant).
  • Manoranjan Paul, "EII workshop Travel Grant," (Australian Research Council) Research Network in Enterprise Information Infrastructure (EII), 2006-08, $6,000 (External Grant).
  • Manoranjan Paul, "Gippsland Linkage and Discovery Initiative Scheme", Monash University, 2008, $5,000.
  • Manoranjan Paul, "Publication Time Release Scheme (PTRS)," Monash University, Gippsland Campus, 2008, $2,500.
  • Manoranjan Paul, "National & International Conference Travel Grant Scheme (NICTGS)," Monash University, Gippsland Campus, 2008, $2,000.
  • Manoranjan Paul, "National Conference Travel Grant Scheme," Monash University, Clayton Campus, 2008, $700.
  • Manoranjan Paul, "Higher Study Grants," Ahsanullah University of Science and Technology, 2001, $7500.

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Research Focus

Project 1: Video Coding and Compression

Left image: Multi-view video coding: Disparity-adjusted 3D block formation Right Image: Pattern-based video coding: Background-foreground separation using binary pattern mask.

Researchers: Dr. Manoranjan Paul (CSU), Professor Manzur Murshed (FedUni), A/Professor Weisi Lin (NTU), Dr. Mortuza Ali (FedUni), Dr. Tanmoy Debnath (CSU), Dr. Subrata Chakraborty (USQ), Shampa Shahriyar (PhD student, Monash University), and Pallab Podder (PhD student, CSU).

Video conferencing, video telephony, tele-teaching, tele-medicine, surveillance, and monitoring systems are some of the video coding/compression applications that have attracted considerable interest in recent years. The burgeoning Internet has increased the need for transmitting (non-real-time) and/or streaming (real-time) video over a wide variety of different transmission channels connecting devices of varying storage and processing capacity. Stored movies or animations can now be downloaded and many reality-type interactive applications are also available via web-cams. In order to cater for devices with different storage and transmission bandwidth requirements, raw digital video data need to be coded at different bit rates with different timing complexity. Sometimes for realistic views of the scene of action, we also need to encode/ compress/ process videos with multiple cameras (multi-view) from different angles. We are focusing on video coding and compression in different scales suitable for different devices with accepted quality and computational time.

Project 2: Object Detection and Background Modeling

Object Detection from PETS2006 sequenceResearchers: Dr. Manoranjan Paul (CSU), Professor Manzur Murshed (FedUni), A/Professor Weisi Lin (NTU), and Dr. Subrata Chakraborty (USQ).

Object detection from the complex and dynamically changing background is still a challenging task in the field of computer vision. Adaptive background modeling based object detection techniques are widely used in machine vision applications for handling the challenges of real-world multimodal background. But they are constrained to specific environment due to relying on environment specific parameters, and their performances also fluctuate across different operating speeds. Camera motions of a scene makes dynamic background modeling more complicated. We are focusing on dynamic background modeling in challenging environments and their applications in different fields.

Project 3: Eye racking Technology

Eye tracker and heat map

An eye tracker is a device to capture eye movement and its duration. In my lab, we have an eye tracker. We are focusing on various research issues e.g., Abnormal event detection and prediction, speech/alcohol/drug impairment detection, retail/advertising effectiveness, video communication for deaf people, eye can be used as an input device, improving electronic document design, increasing user acceptability of learning technologies, telemedicine, and remote surgery.

Project 4: EEG Signal Analysis

Infographic of Epilectic Seizure Symptoms

Researchers: Dr. Manoranjan Paul (CSU), Dr. Michael Antolovich (CSU), and Zavid Parvez (PhD student, CSU).

An Electroencephalogram (EEG) is a non-invasive graphical record of ongoing electrical activity captured from the scalp which is produced by firing of neurons of the human brain due to internal and/or external stimuli. It has great potential for the diagnosis to treatment of mental disorder and brain diseases. We are focusing on detecting and predicting of epileptic seizure period by analysis EEG signals. We are looking for other applications of EEG signals.

Project 5: Hyperspectral Imaging

 

Researchers: Dr. Manoranjan Paul (CSU), Professor Terry Bossomaier (CSU), Professor Junbin Gao (CSU), and Rui Xiao (PhD student, CSU)

Hyperspectral imaging sensor divides images into many bands which can be extended beyond visible. The applications of hyperspectral imaging are in the fields of military to detect chemical weapon, geological survey, agriculture to quantify crops, mineralogy to identify different minerals, physics to identify different properties of materials, surveillance to detect different objects and reflections, measurement of surface CO2 emissions, mapping hydrological formations, tracking pollution levels, and more. We are investigating different applications of hyperspectral imaging for example Fruit-life span prediction.

Project 6: Video Summarizing


Researchers: Dr. Manoranjan Paul (CSU) and MD Salehin (PhD student, CSU).

In our daily life we capture video for various purposes such as security, entertainment, monitoring, investigating and so on. It requires huge memory space to store as well as enormous time to retrieve or replay important information manually from this high volume of videos. In this project, we explore the various features based on scene content, scene transition, human visual systems to extract important importation for particular application and make a shorter version of the video.

Project 7: Collagen Defect Detection

Researchers: Dr. Manoranjan Paul (CSU) and Chris Williams (Honors student, CSU).

Machine vision is now being extensively used for defect detection in the manufacturing process of collagen-based products such as sausage skins which is a multimillion dollar industry worldwide. At present the industry standard is to use a LabView software environment, whereby a graphical interface is used to manage and detect any defects in the collagen skins. Available data corroborates that this method allows for false positives to appear in the results where creases or folds are resolved to be defects in the product instead of being a by-product in the inspection process. This is directly responsible for reducing the overall system performance and resulting wastage of resources. Hence novel criteria were added to enhance the current techniques used with defect detection as elaborated in this paper. The proposed improvements aim to achieve a higher accuracy in detecting both true and false positives by utilizing a function that probes for the color deviation and fluctuation in the collagen skins. From the operating point of view, this method has a more flexible approach with a higher accuracy than the original graphical LabView program and could be incorporated into any programming environment. After implementation of the method in a well-known Australian company, investigational results demonstrate an average 26% increase in the ability to detect false positives with a corresponding substantial reduction in operating cost.

Project 8: View Synthesis for 3D Video and Free Viewpoint Video

In recent years, free viewpoint video (FVV) or Free Viewpoint Television (FVT) technology is increasing popularity for rendering intermediate views from existing adjacent views to avoid the large volume of video data transmission. For generating an intermediate view on a remote display, Depth Image Based Rendering (DIBR) techniques are normally used, however, sometimes it has some missing pixels due to inaccurate depth, low precision rounding error and occlusion problem. To address the issue, we are working on hole filling technique, view rendering, and depth coding, 3D video formation.

Outcome: I can reconstruct a better virtual view compared to the existing one. I have published 10 papers on this area.

Project 9: Automatic Retinal Vessel Extraction Algorithm

Retinal scan images - described below
Analysis of output images:
(a) ground truth (right eye image), (b) output image (right eye image),
(c) ground truth (left eye image), and (d) Output image (left eye image).

Retinal vessel segmentation plays a key role in the detection of numerous eye diseases, and its reliable computerized implementation becomes important for automatic retinal disease screening systems. A large number of retinal vessel segmentation algorithms have been reported, primarily based on three main steps including uniforming background uniform, using the second-order Gaussian detector and applying binarisation. These methods though improve the accuracy levels, their sensitivity to low-contrast in vessels still needs attention. We are conducting research to improve retinal vessel extraction. This research is suitable for retinal image computer analyses such as automated screening for early diabetic retinopathy detection.

Outcome: Our unsupervised vessel extraction method for detecting vessel provides comparable results compared to the popular supervised methods. I have published 2 papers on this area.

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Professional Activities

Associate Director (2013-2015), Centre for Research in Complex Systems (CRiCS)
Steering Committee Member, Data Science Research Unit in Machine Learning, Machine Vision and Computational Machines, CSU.

ARC (Australian Research Council) Assessor since 2013:

  • ARC Discovery Project
  • ARC Future Fellowship

Current PhD Supervision

  • Shampa Shahriar, "3D Video coding," Monash University.
  • Bin Liang, "Human Gesture Detection", CSU.
  • M. Zavid Parvez, "Detection and Prediction of Epileptic Seizure using EEG signal Analysis", CSU.
  • Rui Xiao, "Hyperspectral imaging," CSU.
  • Pallab Podder, "Efficient video coding", CSU.
  • Motiur Rahman, View synthesis, CSU.
  • MD. Salehin, Video summarization, CSU.
  • Niras C. V., Motion estimation hardware design, Macquarie University.
  • Toufique Soomro, Retinal Vessel, CSU

Editorial (from 2009)

  • M. Aziz, M. S. Alam, V. K. Asari, M. Paul, M. Rahman, S. Zhang, and M. A. Rahman (2014): Editorial. Special issue on the selected papers from IEEE International Conference on Computer & IT (IEEE ICCIT-12), Journal of Computers, 9(8), 1739-1742, SJR Rank Q3.
  • M. Murshed, M. Paul, S. Zhang, M. A. Karim (2012): Editorial. Special issue on the selected papers from IEEE ICCIT-11, Journal of Multimedia, 7(5), 325-326, SJR Rank Q2.
  • M. Murshed, M. Paul, S. Zhang, M. A. Karim (2011): Editorial. Special issue on the selected papers from IEEE ICCIT-10, Journal of Multimedia, 6(5), 393-394, SJR Rank Q2.
  • M. Murshed, M. Paul, S. Zhang, M. A. Karim (2010): Editorial. Special issue on the selected papers from IEEE ICCIT-09, Journal of Multimedia, 5(6), 541-542, SJR Rank Q2.
  • M. A. Karim, M. Murshed, M. Paul, S. Zhang (2010): Editorial. Special issue on the selected papers from IEEE ICCIT-08, Journal of Multimedia, 5(1), 1-2, SJR Rank Q2.

Journal Editor:

Keynote Speaker

Session Chair/PC member:

  • Conference Chair: (i) Program Co-Chair of PSIVT 2017, (ii) Publicity Chair of IEEE DICTA 2016, (iii) Chair of VICPU 2015, (iii) Chair of IEEE Int. Workshop on Video Everywhere, 2014 in WoWMoM, (iv) Chair of "Free viewpoint video understanding and challenges" Workshop in IEEE PCS 2015, (v) Chair of "New Video Coding Technologies" workshop in IEEE ISCAS-2010, and (vi) Publicity chair of First Australian Video Conference 2008
  • Session Chair: (i) IEEE ICASSP 2015, (ii) IEEE ICME 2014, (iii) IEEE ISCAS 2010, (iv) IEEE ICCIT 2010, (v) IEEE ICIS 2007
  • Coordinator: (i) ECR workshop, 2008; (ii) Video signal processing and communication workshop, 2007; (iii) Video/image processing 2006, Monash University.

International Journal Reviewer

  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems Part 1
  • IEEE Communication Letter
  • IEEE Signal Processing Letter
  • International Journal of Visual Communication and Image Representation
  • IET Image Processing
  • ACM Transactions on Multimedia Computing, Communications, and Applications

Membership

  • IEEE (Senior Member)
  • IEEE Signal Processing Society (Senior Member)
  • IEEE Communication Society (Senior Member)
  • Australian Computer Society (ACS) (Senior Member)
  • Australian Research Council Network in Enterprise Information Infrastructure (EII)

Seminar presentation at different International Conferences such as

  • DICTA 2016 (Gold Coast Australia)
  • LICE 2016, 2016 (London, UK)
  • IEEE ICVNZ 2015
  • PSIVT 2015
  • IEEE ICASSP 2015
  • IEEE MMM-2015
  • IEEE ICME-2014
  • IEEE ICCIT-2014
  • IEEE ICECE-2014
  • IEEE WoWMoM Video Everywhere workshop (Keynote speaker)
  • DICTA-2014
  • DICTA 2013, Australia (Tutorial Speaker)
  • IEEE ICIP-2013, Australia
  • IEEE ICCIT 2012, Bangladesh
  • IEEE ICASSP-2012, Japan
  • IEEE DICTA 2011, Australia
  • IEEE ICCIT-2010 (Keynote Speaker and Session Chair), Bangladesh
  • IEEE ICIP-2010, Hong Kong
  • IEEE ISCAS-2010 (Session Chair and Special Session Organizer), France
  • IEEE ICIP-2008, USA
  • IEEE MMSP-2008, Australia
  • IEEE ICIS-2007 (Session Chair), Australia
  • ICCIT-2006, Bangladesh
  • MMM-2007, Singapore
  • IEEE ICASSP-2004, USA
  • IEEE ICME-2004, USA
  • Post IT-2004, Australia
  • ICAPR -2003, India
  • IEEE ICCIT-2003, Bangladesh

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Publications

The detailed publication list with preprint copy is available at http://csusap.csu.edu.au/~rpaul/.

PhD Thesis:

M. Paul, "Block-based very low bit rate video coding using pattern templates" PhD thesis in fulfilment of the requirements for the degree of Doctor of Philosophy, Monash University, 2005.

Book (from 2009):

M. Paul (2017), "Vision-aided 2D and 3D Video Coding," Wiley'.

M. Paul and M. Murshed (2014), "Very low bit rate video coding," Scholars' Press, ISBN: 978-3-639-66780-6.

Book Chapter (from 2009):

Parvez, Z. M. and Paul, M. (2015), "Prediction and Detection of Epileptic Seizure by Analysing EEG Signals," for the upcoming book "Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes," edited by Nilanjan Dey, publisher: IGI-Global, 2015, accepted in 8th January, 2015.

M. Paul, and W. Lin (2013), "Computer Vision-Aided Video Coding," a book chapter on "Advanced Video Communications over Wireless Networks ," edited by Ce Zhu and Yuenan Li, publisher: CRC PRESS of the Taylor and Francis Group, LLC, pp. 57-84, January 7, 2013, ISBN-10: 1439879982, ISBN-13: 978-1439879986.

Journal Publications (From 2009):

M. Z. Parvez and M. Paul (2016), "Seizure Prediction using Undulated Global and Local Features," IEEE Transactions on Biomedical Engineering, DOI 10.1109/TBME.2016.2553131. SNIP1.772, JCR IF 2.567; JCR Q1, CORE A*, SJR Rank Q1, Rank 3 in Biomedical Technology.

M. Z. Parvez and M. Paul (2016), "Epileptic Seizure Prediction by Exploiting Spatiotemporal Relationship of EEG Signals using Phase Correlation," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, no. 1, 2016. SNIP 1.911, JCR IF 3.625; JCR Q1, CORE A*, SJR Rank Q1. Citation [5]. Rank 3 in Rehabilitation Therapy

P. Podder, M. Paul, and M. Murshed (2016), "Fast Mode Decision in HEVC by Exploiting Region with Dominated Motion and Saliency Features," PLoS ONE, http://dx.doi.org/10.1371/journal.pone.0150673, SNIP 1.04, JCR IF 4.02; JCR Q1, CORE A, SJR Rank Q1. Rank 4 in Life and Earth Science (general)

M. Paul (2016), "Efficient Multi-view Video Coding using 3D Motion Estimation and Virtual Frame," Neurocomputing, vol. 175, Part A, pp. 544-554, DOI: 10.1016/j.neucom.2015.10.094, SNIP 1.762, JCR IF 2.26; JCR Q1, SJR Rank Q1. Citation [2]. Rank 13 in Artificial Intelligence.

P. Podder, M. Paul, and M. Murshed (2016), "A Novel Motion Classification Based Intermode Selection Strategy for HEVC Performance Improvement," Neurocomputing, vol. 173, Part 3, pp. 1211-1220, DOI:10.1016/j.neucom.2015.08.079, SNIP 1.762, JCR IF 2.26; JCR Q1, SJR Rank Q1. Citation [3]. Rank 13 in Artificial Intelligence.

Halder, K. K., Paul, M., Tahtali, M., Anavati, S. G., and Murshed, M. (2016), "Correction of geometrically distorted underwater images using shift map analysis," NJournal of the Optical Society of America. A, Optics and Image Science and Vision. Accepted 15th December 2016 (ARC DP130103670) [SNIP 1.07, JCR IF 1.471; SJR Rank Q1]

Chakraborty, S. Paul, M., and Murshed, M. (2016), "Adaptive weighted non-parametric background model for efficient video coding," Neurocomputing, http://dx.doi.org/10.1016/j.neucom.2016.11.016. (ARC DP130103670) [SNIP 1.76, JCR IF 2.471, JCR Rank Q1, GSM Rank 13 in Artificial Intelligence, SJR Rank Q1]

M. Paul, R. Xiao, J. Gao and T. Bossomaier (2016), "Reflectance Prediction Modelling for Residual-based Hyperspectral Image Coding," PLoS ONE. SNIP 1.04, JCR IF 4.02; CORE A, JCR Q1, SJR Rank Q1. Accepted 4th August, 2016, Rank 4 in Life and Earth Science (general)

*M. Ali, M. Murshed, S. Shahriyar, and M. Paul, (2016), "Lossless Image Coding Using Hierarchical Decomposition and Recursive Partitioning," APSIPA Transactions on Signal and Information Processing, Accepted 31st July 2016.  (ARC DP130103670), SNIP 2.34, JCR IF 1.5; SJR Q1.

Z. Parvez and M. Paul (2015), "Epileptic seizure detection by exploiting temporal correlation of electroencephalogram signals," IET Signal Processing, vol. 9, no. 6, pp. 467-475,SNIP 1.186, JCR IF 1.028; CORE B, SJR Rank Q2, Citation [4], Rank 13 in Multimedia

C. Williams, M. Paul, and T. Debnath (2015), "Enhancing Automated Defect Detection in Collagen Based Manufacturing by Employing a Smart Machine Vision Technique," Lecture Notes in Computer Science, Springer, vol. 9555, pp. 155-166, SNIP 0.46, SJR Ranked Q2.

R. Xiao and M. Paul (2015), "Efficient Compression of Hyperspectral Images using Optimal Compression Cube and Image Plane," Lecture Notes in Computer Science, Springer, vol. 8935, pp. 167-179, SNIP 0.46, SJR Ranked Q2.

MD Salehin and M. Paul (2015), "Fusion of Foreground Object, Spatial and Frequency Domain Motion Information for Video Summarization," Lecture Notes in Computer Science, Springer, vol. 9555, pp. 319-331, SNIP 0.46, SJR Ranked Q2.

P. K. Podder, M. Paul, and M. Murshed (2015), "Fast Coding Strategy for HEVC by Motion Features and Saliency Applied on Difference Between Successive Image Blocks," Lecture Notes in Computer Science, Springer, vol. 9431, pp. 175-186, SNIP 0.46, SJR Ranked Q2.

M. Z. Parvez and M. Paul (2015), "Novel approaches of EEG signal classification using IMF bandwidth and DCT frequency," Journal of Biomedical Engineering: Applications, Basis and Communications, vol. 27, no. 03, JCR IF 0.23; SJR Rank Q4, Citation [3].

M. Z. Parvez and M. Paul (2014), "Epileptic Seizure Detection by Analyzing EEG Signals using Different Transformation Techniques," Neurocomputing, vol. 145, pp. 190-200. DOI: 10.1016/j.neucom.2014.05.044, SNIP 1.762, JCR IF 2.26; JCR Q1, SJR Rank Q1. Citation [18]. Rank 13 in Artificial Intelligence.

M. Paul, W. Lin, C. T. Lau, and B. –S. Lee (2014), "A Long Term Reference Frame for Hierarchical B-Picture based Video Coding," IEEE Transactions on Circuits and Systems for Video Technology, vol. 20, no. 10, pp. 1729-1742, SNIP 3.447, JCR IF 2.67; JCR Q1, CORE A, SJR Rank Q1. Citation [9], Rank 1 in Multimedia

M. Z. Parvez, M. Paul, and M. Antolovich (2014), "Detection of Pre-stage of Epileptic Seizure by Exploiting Temporal Correlation of EMD Decomposed EEG Signals," Journal of Medical and Bioengineering, vol. 4, no. 2, pp. 110-116.  Citation [4].

M. Paul, S. Shaque, and S. Chakraborty (2013), "Human detection in surveillance videos and its applications - A review," EURASIP Journal on Advances in Signal Processing, doi:10.1186/1687-6180-2013-176, SNIP 0.5447, JCR IF 0.941; SJR Rank Q2-Q3; One of the highest accessed papers in JASP at 2013-14. Citation [28]

M. Paul, W. Lin, C. T. Lau, and B. –S. Lee (2013), "Pattern based Video Coding with Dynamic Background Modeling," EURASIP Journal on Advances in Signal Processing, DOI: 10.1186/1687-6180-2013-138, SNIP 0.5447, JCR IF 0.941; SJR Rank Q2-Q3. Citation [7]

M. Paul, W. Lin, C. T. Lau, and B. –S. Lee (2013), "Video Coding with Dynamic Background Modelling," EURASIP Journal on Advances in Signal Processing,DOI: 10.1186/1687-6180-2013-11, SNIP 0.5447, JCRIF 0.941; SJR Rank Q2. Citation [10].

M. Paul (2012), "Efficient Video Coding using Optimal Compression Plane and Background Modelling," IET Image Processing, vol. 6, no. 9, pp. 1311-1318,SNIP 1.313, JCR IF 0.951; CORE B, SJR Rank Q2, Citation [4]

M. Paul and M. Murshed (2012), "Efficient Pattern Index Coding Using Syndrome Coding and Side Information," Int. Journal of Engineering and Industries, vol. 3, no. 3, pp. 1-12, 2012. ISSN: 2093-5765.

M. Paul, W. Lin, C. T. Lau, and B. –S. Lee (2011), "Direct Intermode Selection for H.264 Video Coding using Phase Correlation," IEEE Transactions on Image Processing, vol. 20, no. 2, pp. 461 – 473, SNIP 4.22, JCR IF 4.482; CORE A*, SJR Rank Q1 Citation [48], Rank 1 in Signal Processing.

A. Liu, W. Lin, M. Paul, and F. Zhang (2011), "Optimal Compression Plane Determination for Video Coding," IEEE Transactions on Image Processing, vol. 20, no. 10, pp. 2788-2799, SNIP 4.222, JCR IF 4.482; JCR Q1, CORE A*, SJR Rank Q1 Citation [15], Rank 1 in Signal Processing.

M. Paul, W. Lin, C. T. Lau, and B. –S. Lee (2011), "Explore and model better I-frame for video coding," IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 9, pp. 1242-1254, 2011. SNIP 3.447, JCR IF 2.67; JCR Q1, SJR Rank Q1, Citation [29], Rank 1 in Multimedia

M. Paul and M. Murshed (2011), "Video Coding Using Arbitrarily Shaped Block Partitions in Globally Optimal Perspective," EURASIP Journal on Advances in Signal Processing, 2011, 2011:16, doi:10.1186/1687-6180-2011-16. SNIP 0.5447, JCR IF 0.941; SJR Rank Q2-Q3;Citation [3].

M. Paul and M. Murshed (2010), "Video Coding focusing on block partitioning and occlusions," IEEE Transactions on Image Processing, vol. 19, no. 3, pp. 691-701, March, 2010. SNIP 4.222, JCR IF 4.482; CORE A*, JCR Q1, SJR Rank Q1.Citation [18], Rank 1 in Signal Processing

A. Liu, W. Lin, M. Paul, and F. Zhang (2010), "Just Noticeable Difference for Image Pixels with Decomposition Model," IEEE Transactions on Circuits and Systems for Video Technology, vol 20, no.11, pp. 1648 - 1652, 2010. SNIP 3.447, JCR IF 2.67; JCR Q1, SJR Rank Q1. Citation [72], Rank 1 in Multimedia

M. Paul, M. Frater, and J. Arnold (2009), "An efficient Mode Selection Prior to the Actual Encoding for H.264/AVC Encoder," IEEE Transactions on Multimedia, vol. 11, no. 4, pp. 581-588, June, 2009, SNIP 2.836, JCR IF 2.467; JCR Q1, CORE A, SJR Rank Q1. Citation [31], Rank 2 in Multimedia

International Conference Publications (from 2009):

DM. M. Rahman and M. Paul (2016), "View synthesised prediction with temporal texture synthesis for multi-view video," IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA-2016), Rank B[1], Accepted 29th August 2016.

Md Salehin and M. Paul (2016), "Video summarisation using geometric primitives," IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA-2016), Rank B, Accepted 29th August, 2016.

K. K. Halder, M. Paul, M. Tahtali, S. G. Anavatti and M. Murshed (2016), "A Centroid Algorithm for Stabilization of Turbulence-Degraded Underwater Videos," IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA-2016), Rank B, Accepted 29th August, 2016.

T. A. Soomro, J. Gao, M. A. U. Khan, and M Paul (2016), "Automatic Retinal Vessel Extraction Algorithm," IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA-2016), Rank B, Accepted 29th August, 2016.

T. A. Soomro, J. Gao, M. A. U. Khan, T. M. Khan, M Paul, and N. Mir (2016), "Role of Image Contrast Enhancement Technique for Ophthalmologist as a Diagnostic Tool for the Diabetic Retinopathy," IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA-2016), Rank B, Accepted 29th August, 2016.

S. Shahriyar, M. Paul, and Manzur Murshed(2016), "Context-adaptive binary coding for hyperspectral images," IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA-2016), Rank B, Accepted 29th August, 2016.

T. Debnath, M. Paul, S. Chakraborty, P. Podder, R. Gururajan, A. Beg (2016), "An experimental analysis of assessor specific bias in a programming assessment in multi-assessor scenarios utilizing an eye tracker," The London International Conference on Education (LICE-2016), accepted 11 July 2016.

S. Shahriyar, M. Manzur, M. Ali, and M. Paul, (2016), "Lossless Depth Map Coding Using Binary Tree Based Decomposition and Context-Based Arithmetic Coding," IEEE International Conference on Multimedia and Expo (ICME 2016). Accepted 12th March 2016. Rank 10 in Multimedia among all Journals and Conferences (Google Metrics). Top 10% paper in the conference.

MD. Salehin and M. Paul, (2016), "Human visual field based saliency prediction method using eye tracker data for video summarisation," IEEE International Conference on Multimedia and Expo (ICME 2016). Accepted 23rd April 2016. Rank 10 in Multimedia.

P. Podder, M. Paul, and M. Murshed, (2016), "A novel depth edge prioritization based coding technique to boost-up HEVC performance," IEEE International Conference on Multimedia and Expo (ICME 2016). Accepted at 23rd April 2016. Rank 10 in Multimedia.

D. M. Rahaman and M. Paul, (2016), "Hole-filling for single-view plus-depth based rendering with temporal texture synthesis," IEEE International Conference on Multimedia and Expo (ICME 2016). Accepted at 24th April 2016. Rank 10 in Multimedia

*Podder, P., Paul, M. and Murshed, M. (2016), "QMET: A New Quality Assessment Metric for No-Reference Video Coding by Using Human Eye Traversal," IEEE 31th International Conference on Image and Vision Computing New Zealand (IVCNZ-2016), Accepted 17th October 2016, CORE B.

Bhatkoti, P. and Paul, M. (2016), "Early Diagnosis of Alzheimer's Disease: A Multi-class Deep Learning Framework with Modified k-sparse Autoencoder Classification," IEEE 31th International Conference on Image and Vision Computing New Zealand (IVCNZ-2016), Accepted 17th October 2016, CORE B.

S. Chakraborty, S. Zhou, A. Hafeez-Baig, R. Gururajan, M. Paul, A. Mandal and A. Elizabeth ouputChako, (2016), " Objective Analysis of Marker Bias in Higher Education," IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE-2016), Bangkok

P. Podder, M. Paul, and M. Murshed, (2015), "Spatial Salient and Foreground Motion-based Efficient HEVC Video Coding," 30th IEEE International Conference on Image and Vision Computing New Zealand (IVCNZ-2015). Rank B.

D. M. Rahaman and M. Paul, (2015), "Free View-Point Video Synthesis Using Gaussian Mixture Modelling," 30th IEEE International Conference on Image and Vision Computing New Zealand (IVCNZ-2015). Rank B, Citation [2].

R. Xiao, M. Paul, and T. Bossomaier (2015), "Hyperspectral Image Coding using Spectral Prediction Modelling in HEVC Coding Framework," 30th IEEE International Conference on Image and Vision Computing New Zealand. Rank B

M. Z. Parvez and M. Paul, (2015), "Epileptic Seizure Prediction Focusing on Relative Change in Consecutive Segments of EEG Signal," 17th International Conference on Bioinformatics and Biological Engineering (ICBBE-2015). Rank A

S. Shahriyar, M. Manzur, M. Ali, and M. Paul, (2015), " A Novel Depth Motion Vector Coding Exploiting Spatial and Inter-component Clustering Tendency," IEEE International Conference on Visual Communications and Image Processing (VCIP-2015). Rank B, Citation [1]. Rank 20 in Multimedia.

M. Z. Parvez and M. Paul, (2015), "Epileptic Seizure Prediction by Exploiting Signal Transitions Phenomena," 17th International Conference on Bioinformatics and Biological Engineering (ICBBE-2015). Rank A

P. Podder, M. Paul, T. Debnath, and M. Murshed, (2015), "An Analysis of Human Engagement Behaviour Using Descriptors from Human Feedback, Eye Tracking, and Saliency Modelling," IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA-2015), DOI: 10.1109/DICTA.2015.7371227, Rank B. Best paper in the 'new research direction' category. CORE Rank B.

MD. Salehin and M. Paul, (2015), "Summarizing Surveillance Video by Saliency Transition and Moving Object Information," IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA-2015), DOI: 10.1109/DICTA.2015.7371311, Rank B.

M. Z. Parvez and M. Paul, (2015), "Epileptic Seizure Prediction by Extracting Relative and Fine Changes of Signal Transitions," IEEE Engineering in Medicine and Biology Society (EMBC-2015), Rank A.

M. Z. Parvez and M. Paul, (2015), "Seizure Prediction by Analyzing EEG Signal based on Phase Correlation," IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2888-2891, DOI: 10.1109/EMBC.2015.7318995. Rank A, Citation [1].

Ali, M., Shahriyar, S., Murshed, M., and Paul, M. (2015), "Lossless Image Coding using Binary Tree Decomposition of prediction residuals," IEEE Picture Coding Symposium, pp. 194-198, DOI: 10.1109/PCS.2015.7170074. Rank 19 in Multimedia.

Shahriyar, S., Murshed, M., Ali, M., and Paul, M. (2015), "Cuboid coding of depth motion vectors using binary tree based decomposition," IEEE Data Compression Conference (DCC), pp. 469, 1DOI: 0.1109/DCC.2015.43. Rank A*, Citation [2]. Rank 11 among all journal & Conferences in Information Theory discipline according to Google Scholar Metrics. Rank 11 in Information Theory.

Podder, P., Paul, M., and Murshed, M. (2015), "Efficient coding strategy for HEVC performance improvement by exploiting motion features," 40th IEEE International Conferences on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1414-1418, Rank B, Citation [1]. Rank 5 in Signal Processing.

P. Podder, M. Paul, and M. Murshed (2015), " Fast Inter-Mode Decision Strategy for HEVC on Depth Videos," IEEE International Conference on Computer and Information Technology (ICCIT), pp. 288-293, DOI: 10.1109/ICCITechn.2015.7488084, [Citation 1].

M. Paul, S. Chakraborty, and M. Murshed (2015), "Joint Texture and Depth Coding using Cuboid Data Compression," IEEE International Conference on Computer and Information Technology (ICCIT), pp. 138-143.

MD Salehin and M. Paul (2015), "An Efficient Method for Video Summarization using Moving Object Information," IEEE International Conference on Computer and Information Technology (ICCIT), pp. 237-242.

P. Podder, M. Paul, and M. Murshed (2014), "Efficient HEVC Scheme using Motion Type Categorization," ACM VideoNext: Design, Quality and Deployment of Adaptive Video Streaming in 10th International Conference on Emerging Networking Experiments and Technologies (CoNEXT), pp. 41-42, doi: 10.1145/2676652.2683462,  Rank A.

S. Chakraborty, M. Paul, M. Murshed, and M. Ali (2014), "A Novel Video Coding Scheme using a Scene Adaptive Non-Parametric Background Model," IEEE Multimedia Signal Processing (IEEE-MMSP), pp. 1-6, Rank B, Citation [14].

S. Shahriyar, M. Ali, M. Murshed, and M. Paul (2014), "Inherently Edge-Preserving Depth-Map Coding Without Explicit Edge Detection and Approximation," IEEE International Conference in Multimedia and Expo (IEEE-ICME), pp. 1-6, DOI: 10.1109/ICMEW.2014.6890592, Rank B, Citation [2]. Rank 11 in Multimedia

S. Chakraborty, M. Paul, M. Murshed, and M. Ali (2014), "An efficient video coding technique using a novel non-parametric modelling," IEEE ICME, pp. 1-6, DOI: 10.1109/ICMEW.2014.6890590, Rank B, Citation [14]. Rank 11 in Multimedia.

P. Podder, M. Paul, M. Murshed, and S. Chakraborty (2014), "Fast Intermode Selection for HEVC Video Coding Using Phase Correlation", IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA), pp. 1-8, Rank B, Citation [8].

S. Shahriyar, M. Ali, M. Murshed, and M. Paul (2014), "Efficient Depth Coding By Exploiting Temporal Correlations in Depth Maps", IEEE DICTA, pp. 1-8, DOI: 10.1109/DICTA.2014.7008105, Rank B, Citation [3].

M. Z. Parvez and M. Paul (2013), "EEG Signal Classification using Frequency Band Analysis towards Epileptic Seizure Prediction," IEEE International Conference on Computer and Information Technology (IEEE ICCIT-13), pp. 126-130, 2013, Rank C, Citation [3].

M. Paul, Christopher Evans, Manzur Murshed (2013), "Disparity-adjusted 3D multi-view video coding with dynamic background modelling," IEEE International Conference on Image Processing, pp. 1719-1723, Rank B, Citation [13]. Rank 5 in Multimedia

M. Z. Parvez and M. Paul (2013),"Classification of Ictal and Interictal EEG Signals," 10th IASTED International conference on Biomedical Engineering, 2013. Rank A, Citation [4].

M. Z. Parvez and M. Paul (2012),"Features Extraction and Classification for Ictal and Interictal EEG Signals using EMD and DCT," IEEE International Conference on Computer and Information Technology (IEEE ICCIT-12), pp. 132-137, Rank C, Citation 8].

M. Paul, J. Gao, M. Antolovich,and T. Bossomaier (2012), "Multi-view video compression using dynamic background frame and 3D motion estimation," IEEE Int. Conference on Computer and Information Technology (IEEE ICCIT), pp. 84-89, Rank C, Citation [3].

Junbin Gao, M. Paul, and Jun Liu (2012), "The Image Matting Method with Zero-One Regularization," IEEE International Conference on Multimedia and Expo (IEEE ICME-12), 2012. Rank B, Citation [3]. Rank 11 in Multimedia.

M. Paul, Junbin Gao, and Michael Antolovich (2012),"3D motion estimation for 3D video coding," IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), 2012, Rank B, Citation [5]. Rank 5 in Signal Processing

M. Paul and W. Lin (2011), "Efficient Video Coding Considering a Video as 3D Data Cube," IEEE International Conference on Digital Image Computing: Techniques and Applications (IEEE DICTA), Rank B, Citation [2].

M. Paul, W. Lin, C. T. Lau, and B. –S. Lee (2011), "McFIS in hierarchical bipredictive picture-based video coding for referencing the stable area in a scene," IEEE International Conference on Image Processing (IEEE ICIP), 2011, Rank B, Citation [10].

M. Paul, W. Lin, C. T. Lau, and B. –S. Lee (2010), "Pattern based video coding with uncovered background," IEEE International Conference on Image Processing (IEEE ICIP), pp. 2065-2068, 2010, Rank B, Citation [2]. Rank 5 in Multimedia.

A. Liu, W. Lin, M. Paul, and F. Zhang (2010), "Enhanced just noticeable difference (JND) estimation with image decomposition for separating edge and textured regions," IEEE Conference on Image Processing (IEEE ICIP), pp. 317 – 320, 2010, Rank B, Citation [4]. Rank 5 in Multimedia.

Z. Gu, W. Lin, C. T. Lau, B. –S. Lee, and M. Paul (2010), "Two dimensional singular value decomposition (2D-SVD) based video coding," IEEE Int. Conference on Image Processing (IEEE ICIP), pp. 181 – 184, Rank B, Citation [4]. Rank 5 in Multimedia

C. Deng, W. Lin, C. T. Lau, B. –S. Lee, and M. Paul (2010), "Comparison between H.264/AVC and motion JPEG2000 for super-high definition video coding," IEEE International Conference on Image Processing (IEEE ICIP), pp. 2037 – 2040, 2010, Acceptance Rate 44%, Rank B, Citation [5]. Rank 5 in Multimedia

A. Liu, W. Lin, M. Paul, and F. Zhang (2010), "Optimal compression plane (OCP)– A new framework for H.264 video coding," IEEE Conference on Multimedia and Expo (IEEE ICME), pp. 456 - 461, 2010, Rank B. Rank 11 in Multimedia.

M. Paul, W. Lin, C. T. Lau, and B. –S. Lee (2010), "McFIS: better I-frame for video coding," IEEE International Conference on Acoustics, Speech, and Signal processing (IEEE ISCAS), pp. 2171-2174, 2010, Rank B, Citation [7].

M. Paul, W. Lin, C. T. Lau, and B. –S. Lee (2010), "Video coding using the most common frame in scene," IEEE International Conference on Acoustics, Speech, and Signal processing (IEEE ICASSP), pp. 734–737, 2010 , Rank B, Citation [17]. Rank 5 in Signal Processing.

M. Paul and M. Murshed (2009), "A novel pattern identification scheme using distributed video concept," IEEE International Conference on Acoustics, Speech, and Signal processing (IEEE ICASSP), pp. 729-732, 2009, Rank B. Rank 5 in Signal Processing.

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