NDLI: An improved iterative algorithm for calculating the ratedistortion performance of causal video coding for continuous sources and its application to real video data

Content Provider	IEEE Xplore Digital Library
Author	En-hui Yang Chang Sun Lin Zheng
Copyright Year	2010
Description	Author affiliation: Dept. of Electrical and Computer Engineering, University of Waterloo Waterloo, Ontario, Canada N2L 3G1 (En-hui Yang; Chang Sun; Lin Zheng)
Abstract	An improved iterative algorithm is first proposed to calculate the rate-distortion performance of causal video coding for any continuous sources. Instead of using continuous reproduction alphabets, it utilizes finite reproduction alphabets and iteratively updates them along with transitional probabilities from the continuous source to reproduction letters, thus overcoming the computation complexity problem encountered when applying the algorithm recently proposed by Yang et al for discrete sources to continuous sources. The proposed algorithm converges in the sense that the rate-distortion cost is monotonically decreasing until a stationary point is reached. It is then applied to practical video data to establish some theoretic coding performance benchmark. In comparison with H.264, experiments show that under the same motion compensation setting, causal video coding offers a roughly 1 dB coding gain on average over H.264 for the IPPIPP…GOP structure. This suggests that an area one could explore to further improve the rate-distortion performance of H.264 be how quantization and coding should be performed conditionally given previous frames and coded frames and given motion compensation.
Starting Page	98
Ending Page	101
File Size	138616
Page Count	4
File Format	PDF
ISBN	9781424471348
e-ISBN	9781424471355
DOI	10.1109/PCS.2010.5702588
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-08
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video coding interactive algorithm causal video coding Rate-distortion Artificial neural networks soft decision quantization Encoding Discrete cosine transforms Iterative methods rate-distortion performance Pixel
Content Type	Text
Resource Type	Article

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