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An efficient video coding technique using a novel non-parametric background model
conference contribution
posted on 2023-02-07, 00:41 authored by S Chakraborty, M Paul, Manzur MurshedManzur Murshed, M AliVideo 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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Location
PEOPLES R CHINA, ChengduPublisher DOI
Start date
2014-07-14End date
2014-07-18ISSN
1945-7871ISBN-13
9781479947171Language
EnglishTitle of proceedings
2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014Event
IEEE International Conference on Multimedia and Expo Workshops (ICMEW)Publisher
IEEE, ELECTRON DEVICES SOC & RELIABILITY GROUPSeries
IEEE International Conference on Multimedia and ExpoUsage metrics
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No categories selectedKeywords
Science & TechnologyTechnologyComputer Science, Software EngineeringComputer Science, Theory & MethodsEngineering, Electrical & ElectronicComputer ScienceEngineeringVideo codingBackground modelNon-parametric modelCoding efficiencyCoding performanceDENSITY-ESTIMATIONALGORITHMFRAMESIMAGECOMPENSATIONPREDICTIONALLOCATIONH.264/AVCSELECTION
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