Fast intermode selection for HEVC video coding using phase correlation

Paper

Podder, Pallab Kanti, Paul, Manoranjan, Murshed, Manzur and Chakraborty, Subrata. 2014. "Fast intermode selection for HEVC video coding using phase correlation." 2014 International Conference on Digital lmage Computing: Techniques and Applications (DlCTA 2014). Wollongong, Australia 25 - 27 Nov 2014 https://doi.org/10.1109/DICTA.2014.7008109
Paper/Presentation Title

Fast intermode selection for HEVC video coding using phase correlation

Presentation TypePaper
AuthorsPodder, Pallab Kanti (Author), Paul, Manoranjan (Author), Murshed, Manzur (Author) and Chakraborty, Subrata (Author)
Journal or Proceedings TitleProceedings of the 2014 International Conference on Digital lmage Computing: Techniques and Applications (DlCTA 2014)
ERA Conference ID42717
Number of Pages8
Year2014
ISBN9781479954094
Digital Object Identifier (DOI)https://doi.org/10.1109/DICTA.2014.7008109
Web Address (URL) of Paperhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7008109
Conference/Event2014 International Conference on Digital lmage Computing: Techniques and Applications (DlCTA 2014)
Digital Image Computing Techniques and Applications
Event Details
Digital Image Computing Techniques and Applications
DICTA
Rank
B
B
B
B
B
Event Details
2014 International Conference on Digital lmage Computing: Techniques and Applications (DlCTA 2014)
Event Date
25 to end of 27 Nov 2014
Event Location
Wollongong, Australia
Abstract

The recent High Efficiency Video Coding (HEVC) Standard demonstrates higher rate-distortion (RD) performance compared to its predecessor H.264/AVC using different new tools especially larger and asymmetric inter-mode variable size motion estimation and compensation. This requires more than 4 times computational time compared to H.264/AVC. As a result it has always been a big concern for the researchers to reduce the amount of time while maintaining the standard quality of the video. The reduction of computational time by smart selection of the appropriate modes in HEVC is our motivation. To accomplish this task in this paper, we use phase correlation to approximate the motion information between current and reference blocks by comparing with a number of different binary pattern templates and then select a subset of motion estimation modes without exhaustively exploring all possible modes. The experimental results exhibit that the proposed HEVC-PC (HEVC with Phase Correlation) scheme outperforms the standard HEVC scheme in terms of computational time while preserving-the same quality of the video sequences. More specifically, around 40% encoding time is reduced compared to the exhaustive mode selection in HEVC.

KeywordsHEVC; intermode selection; motion estimation; phase correlation; phase matched error; video coding HEVC; intermode selection; motion estimation; phase correlation; phase matched error; video coding
ANZSRC Field of Research 2020460306. Image processing
Public Notes

© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Byline AffiliationsCharles Sturt University
Federation University
School of Management and Enterprise
Institution of OriginUniversity of Southern Queensland
Permalink -

https://research.usq.edu.au/item/q2x8y/fast-intermode-selection-for-hevc-video-coding-using-phase-correlation

Log in to edit
  • 1648
    total views
  • 15
    total downloads
  • 2
    views this month
  • 0
    downloads this month

Export as

Related outputs

Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models
Horry, Michael J., Chakraborty, Subrata, Pradhan, Biswajeet, Paul, Manoranjan, Zhu, Jing, Loh, Hui Wen, Barua, Prabal Datta and Acharya, U. Rajendra. 2023. "Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models." Sensors. 23 (14). https://doi.org/10.3390/s23146585
Machine learning system to guide teacher reflection on behavior management skills
Dann, Christopher, O'Neill, Shirley, Getenet, Seyum, Aboufarw, Khaled, Verma, Navdeep, Chakraborty, Subrata, Yu, Kun, Edmondson, Shawn, Quirke-Bolt, Nigel, Levy, Dalit, McFarlane, Stephen, Quadrelli, Carol, Daly, Molly and Seifert, Tami. 2021. "Machine learning system to guide teacher reflection on behavior management skills." Bastiaens, Theo (ed.) Innovate Learning Summit 2021. United States 09 - 11 Nov 2021 United States.
Factors influencing the adoption of electronic health records in the Australian environment
Ouheda, Salem, Hafeez-Baig, Abdul, Chakraborty, Subrata and Gururajan, Raj. 2019. "Factors influencing the adoption of electronic health records in the Australian environment." Kerr, Don, Blake, Jacqueline, Wang, Mingzhong and Tham, Aaron (ed.) 24th Annual Conference of the Asia Pacific DecisionSciences Institute: Technology Supporting People and Decision Making. Brisbane, Australia 15 - 18 Jul 2019 Brisbane, QLD, Australia.
An investigation into usability of big data analytics in the management of Type 2 Diabetes Mellitus
Bhotta, Dinakar, Hafeez-Baig, Abdul, Gururajan, Raj, Chakraborty, Subrata, Kavuri, Srinivas P. and Krishnan, Dharini. 2019. "An investigation into usability of big data analytics in the management of Type 2 Diabetes Mellitus." Kerr, Don, Blake, Jacqueline, Wang, Mingzhong and Tham, Aaron (ed.) 24th Annual Conference of the Asia Pacific DecisionSciences Institute: Technology Supporting People and Decision Making. Brisbane, Australia 15 - 18 Jul 2019 Brisbane, QLD, Australia.
Conceptual framework for telehealth adoption in Indian healthcare
Chowdhury, Avijit, Hafeez-Baig, Abdul, Gururajan, Raj and Chakraborty, Subrata. 2019. "Conceptual framework for telehealth adoption in Indian healthcare." 24th Asia Pacific DSI Conference Program (APDSI 2019). Brisbane, Australia 15 - 18 Jul 2019
Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)
Loh, Hui Wen, Hong, Wanrong, Ooi, Chui Ping, Chakraborty, Subrata, Barua, Prabal Datta, Deo, Ravinesh C., Soar, Jeffrey, Palmer, Elizabeth E. and Acharya, U. Rajendra. 2021. "Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)." Sensors. 21, pp. 1-27. https://doi.org/10.3390/s21217034
Effects of rubric quality on marker variation in higher education
Chakraborty, Subrata, Dann, Christopher, Mandal, Anuradha, Dann, Beverly, Paul, Manoranjan and Hafeez-Baig, Abdul. 2021. "Effects of rubric quality on marker variation in higher education." Studies in Educational Evaluation. 70, pp. 1-12. https://doi.org/10.1016/j.stueduc.2021.100997
A Novel TOPSIS based Consensus Technique for Multiattribute Group Decision Making
Chakraborty, Subrata and Mandal, Anuradha. 2018. "A Novel TOPSIS based Consensus Technique for Multiattribute Group Decision Making." 18th International Symposium on Communications and Information Technologies (ISCIT). Bangkok, Thailand 26 - 29 Sep 2018 United States. https://doi.org/10.1109/ISCIT.2018.8587952
An exploratory study to understand the phenomena of eye-tracking technology: a case of the education environment
Syed, Ahmed, Chakraborty, Subrata, Hafeez-Baig, Abdul and Mandal, Anuradha. 2020. "An exploratory study to understand the phenomena of eye-tracking technology: a case of the education environment." Dann, Christopher Ewart and O'Neill, Shirley (ed.) Technology-enhanced formative assessment practices in higher education. United States. IGI Global. pp. 240-261
M-ary trees for combinatorial asset management decision problems
Chakraborty, S., Fidge, C., Ma, L. and Sun, Y.. 2014. "M-ary trees for combinatorial asset management decision problems." Lee, Jay, Ni, Jun, Sarangapani, Jagnathan and Mathew, Joseph (ed.) 6th World Conference on Engineering Asset Management (WCEAM 2011). Cincinnati, United States 03 - 05 Oct 2011 London, United Kingdom. https://doi.org/10.1007/978-1-4471-4993-4_11
An experimental analysis of assessor specific bias in a programming assessment in multi-assessor scenarios utilizing an eye tracker
Debnath, Tanmoy, Paul, Manoranjan, Chakraborty, Subrata, Podder, Pallab Kanti, Gururajan, Raj and Hafeez-Baig, Abdul. 2016. "An experimental analysis of assessor specific bias in a programming assessment in multi-assessor scenarios utilizing an eye tracker." Shoniregun, Charles A. and Akmayeva, Galyna A. (ed.) London International Conference on Education (LICE-2016). London, United Kingdom 14 - 17 Nov 2016 London, United Kingdom.
A novel video coding scheme using a scene adaptive non-parametric background model
Chakraborty, Subrata, Paul, Manoranjan, Murshed, Manzur and Ali, Mortuza. 2014. "A novel video coding scheme using a scene adaptive non-parametric background model." 16th IEEE International Workshop on Multimedia Signal Processing (MMSP 2014). Jakarta, Indonesia 22 - 24 Sep 2014 Piscataway, NJ. United States. https://doi.org/10.1109/MMSP.2014.6958823
Assuring reliability in qualitative studies: a health informatics persective
Hafeez-Baig, Abdul, Gururajan, Raj and Chakraborty, Subrata. 2016. "Assuring reliability in qualitative studies: a health informatics persective." 20th Pacific Asia Conference on Information Systems (PACIS 2016). Chiayi, Taiwan 27 Jun - 01 Jul 2016 Chiayi, Taiwan.
Adaptive weighted non-parametric background model for efficient video coding
Chakraborty, Subrata, Paul, Manoranjan, Murshed, Manzur and Ali, Mortuza. 2017. "Adaptive weighted non-parametric background model for efficient video coding." Neurocomputing. 226, pp. 35-45. https://doi.org/10.1016/j.neucom.2016.11.016
Software development for managing nutrition intake for Type II Diabetes Mellitus
Krishnan, Dharini, Zhou, Xujuan, Chakraborty, Subrata, Gururajan, Rashmi and Gururajan, Raj. 2016. "Software development for managing nutrition intake for Type II Diabetes Mellitus." 10th International Conference on Software, Knowledge, Information Management and Application (SKIMA 2016). Chengdu, China 15 - 17 Dec 2016 China.
Objective Analysis of Marker Bias in Higher Education
Chakraborty, Subrata, Zhou, Susan, Hafeez-Baig, Abdul, Gururajan, Raj, Paul, Manoranjan, Mandal, Anuradha, Chacko, Anila Elizabeth and Barua, Prabal D.. 2017. "Objective Analysis of Marker Bias in Higher Education." 5th IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE 2016). Bangkok, Thailand 07 - 09 Dec 2016 Piscataway, United States. https://doi.org/10.1109/TALE.2016.7851839
A Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transport
Chakraborty, Subrata, Mengersen, Kerrie, Fidge, Colin, Ma, Lin and Lassen, David. 2016. "A Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transport." Decision Analytics. 3 (4), pp. 1-24. https://doi.org/10.1186/s40165-016-0021-2
Comparison based group ranking outcome for multiattribute group decisions
Chakraborty, Subrata and Yeh, Chung-Hsing. 2012. "Comparison based group ranking outcome for multiattribute group decisions." 14th International Conference on Computer Modelling and Simulation. Cambridge, UK 28 - 30 Mar 2012 United States. https://doi.org/10.1109/UKSim.2012.53
Rank similarity based MADM method selection
Chakraborty, Subrata and Yeh, Chung-Hsing. 2012. "Rank similarity based MADM method selection." 2012 International Conference on Statistics in Science, Business, and Engineering. Langkawi, Malaysia 10 - 12 Sep 2012 United States. https://doi.org/10.1109/ICSSBE.2012.6396586
Human detection in surveillance videos and its applications - a review
Paul, Manoranjan, Haque, Shah M. E. and Chakraborty, Subrata. 2013. "Human detection in surveillance videos and its applications - a review." Eurasip Journal on Advances in Signal Processing. 1 (176), pp. 1-16. https://doi.org/10.1186/1687-6180-2013-176
A simulation comparison of normalization procedures for TOPSIS
Chakraborty, Subrata and Yeh, Chung-Hsing. 2009. "A simulation comparison of normalization procedures for TOPSIS." 2009 International Conference on Computers & Industrial Engineering. Troyes, France 06 - 09 Jul 2009 United States. https://doi.org/10.1109/ICCIE.2009.5223811
A simulation based comparative study of normalization procedures in multiattribute decision making
Chakraborty, Subrata and Yeh, Chung-Hsing. 2007. "A simulation based comparative study of normalization procedures in multiattribute decision making ." 6th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases. Corfu Island, Greece 16 - 19 Feb 2007 Greece.
Joint texture and depth coding using cuboid data compression
Paul, Manoranjan, Chakraborty, Subrata, Murshed, Manzur and Podder, Pallab Kanti. 2015. "Joint texture and depth coding using cuboid data compression." IEEE 18th International Conference on Computer and Information Technology. Dhaka, Bangladesh 21 - 23 Dec 2015 United States.
Mobile telehealth technology assessment: Queensland case study
Gururajan, Raj, Little, Alison, Hafeez Baig, Abdul, Chakraborty, Subrata and Wickramasignhe, Nilmini. 2015. "Mobile telehealth technology assessment: Queensland case study." 23rd Australian National Health Informatics Conference (HIC 2015). Brisbane, Australia 03 - 05 Aug 2015 Australia.
An efficient video coding technique using a novel non-parametric background model
Chakraborty, Subrata, Paul, Manoranjan, Murshed, Manzur and Ali, Mortuza. 2014. "An efficient video coding technique using a novel non-parametric background model." 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2014). 14 - 18 Jul 2014 Chengdu, China. https://doi.org/10.1109/ICMEW.2014.6890590
Multifaceted modelling of complex business enterprises
Chakraborty, Subrata, Mengersen, Kerrie, Fidge, Colin, Ma, Lin and Lassen, David. 2015. "Multifaceted modelling of complex business enterprises." PLoS One. 10 (8). https://doi.org/10.1371/journal.pone.0134052