Analysis of the H.264 advanced video coding standard and an associated rate control scheme

Li, Ping; Wang, Lin; Yang, Xiaokang

doi:10.1117/1.3036181

Cited by 1 publication

(1 citation statement)

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“…We empirically observed in [4] that while coding head-andshoulder type video sequences at low bit rate, more than 70% of the MBs were never partitioned into smaller blocks by the H.264 that would otherwise be at a high bit-rate. In [5], it has been further demonstrated that the partitioning actually depends upon the extent of motion and quantization parameter (QP): for low motion video, 67% (with low QP) to 85% (with high QP) of MBs are not further partitioned; for high motion video, the range is 26-64. It can be easily observed that the possibility of choosing smaller block sizes diminishes as the target bit-rate is lowered.…”

Section: Introductionmentioning

confidence: 99%

Video coding using arbitrarily shaped block partitions in globally optimal perspective

Paul

Murshed

2011

EURASIP J. Adv. Signal Process.

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Algorithms using content-based patterns to segment moving regions at the macroblock (MB) level have exhibited good potential for improved coding efficiency when embedded into the H.264 standard as an extra mode. The content-based pattern generation (CPG) algorithm provides local optimal result as only one pattern can be optimally generated from a given set of moving regions. But, it failed to provide optimal results for multiple patterns from entire sets. Obviously, a global optimal solution for clustering the set and then generation of multiple patterns enhances the performance farther. But a global optimal solution is not achievable due to the non-polynomial nature of the clustering problem. In this paper, we propose a near-optimal content-based pattern generation (OCPG) algorithm which outperforms the existing approach. Coupling OCPG, generating a set of patterns after clustering the MBs into several disjoint sets, with a direct pattern selection algorithm by allowing all the MBs in multiple pattern modes outperforms the existing pattern-based coding when embedded into the H.264.

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Section: Introductionmentioning

confidence: 99%