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학술지 An Efficient Error Concealment Algorithm for H.264/AVC Using Regression Modeling-Based Prediction
Cited 12 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
Xiaoming Chen, Yuk Ying Chung, 배창석, Xiangjian He, Wei-Chang Yeh
발행일
201011
출처
IEEE Transactions on Consumer Electronics, v.56 no.4, pp.2694-2701
ISSN
0098-3063
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TCE.2010.5681158
협약과제
10SC1800, 인간 교감 신개념 UI 기반 인터랙션 기술, 손승원
초록
This paper presents a novel error concealment algorithm for H.264/AVC based on a regression model, which is constructed according to the spatial relationship between block locations and their motion activities. With the proposed algorithm, a corrupted macroblock is partitioned into subblocks and the motion vector of each sub-block is predicted through the regression model with the help of the neighbor motion vectors. The experimental results show that the proposed algorithm can achieve significant Peak Signal Noise Ratio (PSNR) improvement over existing methods with even reduced complexity. The implementation of the proposed algorithm is very simple and therefore it can be readily applied to real-time video applications running on various consumer electronic products such as mobile devices. © 2006 IEEE.
키워드
Error concealment, error-resilient coding, H.264/AVC, MPEG, video communications
KSP 제안 키워드
Electronic product, Error resilient coding, Mobile devices, Motion Vector(MV), Real-time video, Reduced complexity, Regression modeling, Signal noise ratio(SNR), Spatial relationship, Video communications, consumer electronics