An efficient video coding technique using a novel non-parametric background model

Paper

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
Paper/Presentation Title

An efficient video coding technique using a novel non-parametric background model

Presentation TypePaper
AuthorsChakraborty, Subrata (Author), Paul, Manoranjan (Author), Murshed, Manzur (Author) and Ali, Mortuza (Author)
Journal or Proceedings TitleProceedings of the 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2014)
ERA Conference ID42957
Number of Pages6
Year2014
Place of PublicationChengdu, China
Digital Object Identifier (DOI)https://doi.org/10.1109/ICMEW.2014.6890590
Web Address (URL) of Paperhttp://ieeexplore.ieee.org/search/searchresult.jsp?action=search&sortType=&rowsPerPage=&searchField=Search_All&matchBoolean=true&queryText=(An%20efficient%20video%20coding%20technique%20using%20a%20novel%20non-parametric%20background%20model)
Conference/Event2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2014)
IEEE International Conference on Multimedia and Expo
Event Details
IEEE International Conference on Multimedia and Expo
ICME
Rank
B
B
B
B
B
Event Details
2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2014)
Event Date
14 to end of 18 Jul 2014
Abstract

Video coding technique with a background frame, extracted from mixture of Gaussian (MoG) based background modeling, provides better rate distortion performance by exploiting coding efficiency in uncovered background areas compared to the latest video coding standard. However, it suffers from high computation time, low coding efficiency for dynamic videos, and prior knowledge requirement of video content. In this paper, we present a novel adaptive weighted non-parametric (WNP) background modeling technique and successfully embed it into HEVC video coding standard. Being non-parametric (NP), the proposed technique naturally exhibits superior performance in dynamic background scenarios compared to MoG-based technique without a priori knowledge of video data distribution. In addition, the WNP technique significantly reduces noise-related drawbacks of existing NP techniques to provide better quality video coding with much lower computation time as demonstrated through extensive comparative studies against NP, MoG and HEVC techniques.

Keywordsbackground model Coding efficiency Coding performance Non-parametric model 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
Institution of OriginUniversity of Southern Queensland
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