TY - GEN
T1 - An efficient video coding technique using a novel non-parametric background model
AU - Chakraborty, Subrata
AU - Paul, Manoranjan
AU - Murshed, Manzur
AU - Ali, Mortuza
PY - 2014/9/8
Y1 - 2014/9/8
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84937108093
U2 - 10.1109/ICMEW.2014.6890590
DO - 10.1109/ICMEW.2014.6890590
M3 - Conference contribution
SN - 9781479947171
T3 - Proceedings (IEEE International Conference on Multimedia and Expo)
SP - 1
EP - 6
BT - 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Los Alamitos, United States of America
T2 - ICMEW 2014: IEEE International Conference on Multimedia and Expo Workshops
Y2 - 14 July 2014 through 18 July 2014
ER -