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

Chakraborty, Subrata and Paul, Manoranjan and Murshed, Manzur and Ali, Mortuza (2014) An efficient video coding technique using a novel non-parametric background model. In: 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2014), 14-18 July 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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version due to publisher's copyright policy.
Faculty / Department / School: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 28 Aug 2015 04:45
Last Modified: 01 Aug 2017 23:38
Uncontrolled Keywords: background model Coding efficiency Coding performance Non-parametric model Video coding
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objective: B Economic Development > 89 Information and Communication Services > 8902 Computer Software and Services > 890299 Computer Software and Services not elsewhere classified
Identification Number or DOI: 10.1109/ICMEW.2014.6890590
URI: http://eprints.usq.edu.au/id/eprint/27113

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