Rate Distortion Optimization for H.264 Interframe Coding: A General Framework and Algorithms

Rate distortion (RD) optimization for H.264 interframe coding with complete baseline decoding compatibility is investigated on a frame basis. Using soft decision quantization (SDQ) rather than the standard hard decision quantization, we first establish a general framework in which motion estimation,...

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Vydané v:	IEEE transactions on image processing Ročník 16; číslo 7; s. 1774 - 1784
Hlavní autori:	YANG, En-Hui, XIANG YU
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.07.2007 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Applied sciences Code standards Coding Coding, codes Computer Graphics - standards Costs Data Compression - methods Data Compression - standards Decoding Distortion Documentation - standards Encoding Entropy Entropy coding Exact sciences and technology Fixed-slope lossy compression Frames H.264 hybrid coding Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Information, signal and communications theory Internationality Iterative algorithms Miscellaneous Motion estimation Multimedia - standards Numerical Analysis, Computer-Assisted Optimization Optimization algorithms Quantization rate distortion (RD) optimization Rate-distortion Sampling, quantization Signal and communications theory Signal processing Signal Processing, Computer-Assisted soft decision quantization (SDQ) Software algorithms Studies Telecommunications and information theory Video Recording - methods Lossy compression Image processing Video signal Iterative method Implementation Optimization Interframe encoding Signal quantization Image sequence Fixed-slope lossy compression Hybrid model Soft decision Variable length code soft decision quantization (SDQ) H.264 hybrid coding Motion estimation Optimal algorithm Rate distortion theory rate distortion (RD) optimization Entropy codes Decoding Baseline Adaptive coding Signal processing Optimal code Compatibility Signal to noise ratio
ISSN:	1057-7149, 1941-0042
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Shrnutí:	Rate distortion (RD) optimization for H.264 interframe coding with complete baseline decoding compatibility is investigated on a frame basis. Using soft decision quantization (SDQ) rather than the standard hard decision quantization, we first establish a general framework in which motion estimation, quantization, and entropy coding (in H.264) for the current frame can be jointly designed to minimize a true RD cost given previously coded reference frames. We then propose three RD optimization algorithms-a graph-based algorithm for near optimal SDQ in H.264 baseline encoding given motion estimation and quantization step sizes, an algorithm for near optimal residual coding in H.264 baseline encoding given motion estimation, and an iterative overall algorithm to optimize H.264 baseline encoding for each individual frame given previously coded reference frames-with them embedded in the indicated order. The graph-based algorithm for near optimal SDQ is the core; given motion estimation and quantization step sizes, it is guaranteed to perform optimal SDQ if the weak adjacent block dependency utilized in the context adaptive variable length coding of H.264 is ignored for optimization. The proposed algorithms have been implemented based on the reference encoder JM82 of H.264 with complete compatibility to the baseline profile. Experiments show that for a set of typical video testing sequences, the graph-based algorithm for near optimal SDQ, the algorithm for near optimal residual coding, and the overall algorithm achieve on average, 6%, 8%, and 12%, respectively, rate reduction at the same PSNR (ranging from 30 to 38 dB) when compared with the RD optimization method implemented in the H.264 reference software.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Article-2 ObjectType-Feature-1
ISSN:	1057-7149 1941-0042
DOI:	10.1109/TIP.2007.896685