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.
Original language | English |
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Title of host publication | 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) |
Place of Publication | USA |
Publisher | IEEE |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 9781479947171 |
DOIs | |
Publication status | Published - 2014 |
Event | IEEE International conference on Multimedia and Expo - JinJiang Hotel, Chengdu, China Duration: 14 Jul 2014 → 18 Jul 2014 https://web.archive.org/web/20140213085557/www.icme2014.org/ (Archived page) |
Conference
Conference | IEEE International conference on Multimedia and Expo |
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Country/Territory | China |
City | Chengdu |
Period | 14/07/14 → 18/07/14 |
Internet address |
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