2006 IEEE International Conference on Multimedia and Expo 2006
DOI: 10.1109/icme.2006.262720
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A Pattern-Search Method for H.264/AVC CAVLC Decoding

Abstract: In this paper, a new implementation method is proposed for Context-Adaptive Variable Length Coding (CAVLC) used in H.264 Baseline Profile. We analyze the correlation between bit patterns and 4x4 (or 2x2) blocks and have an idea of a pattern-search method before CAVLC decoding. If a pattern is matched in our look-up table, we can skip the standard CAVLD procedure and reconstruct a block directly. However, if there is not any pattern matched in the table, we have to reconstruct a block by CAVLD. Our lookup table… Show more

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Cited by 16 publications
(4 citation statements)
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“…7) to speed up the CAVLC decoding algorithm. Detail information can be found in [22]. If the two-phase pattern search algorithm failed, original CAVLC decoding is applied.…”
Section: Cavlc Of the Entropy Decodingmentioning
confidence: 99%
“…7) to speed up the CAVLC decoding algorithm. Detail information can be found in [22]. If the two-phase pattern search algorithm failed, original CAVLC decoding is applied.…”
Section: Cavlc Of the Entropy Decodingmentioning
confidence: 99%
“…Accordingly a two-phase pattern search algorithm is derived (as shown in Figure 4-1) to speedup the CAVLC decoding algorithm contained in the ED procedure executed on the MPU core. Detail information can be found in (Tseng, 2006).…”
Section: Entropy Decoding On Mpumentioning
confidence: 99%
“…Driven by the progress of science and technology, multimedia applications on mobile devices are getting more and more popular [3][4][5][6]. However, the embedded processors used in the mobile devices don't have enough computation power to realize the complex H.264 video decoder in real-time.…”
Section: Introductionmentioning
confidence: 99%
“…In the algorithm-level optimization, we propose various techniques like fast interpolation scheme, zero-skipping technique for texture decoding, fast boundary strength decision for in-loop filtering, and pattern matching algorithm [3] for CAVLD. In the code-level optimization, we propose the design techniques of minimizing memory access and branch times.…”
Section: Introductionmentioning
confidence: 99%