Novel Efficient HEVC Decoding Solution on General-Purpose Processors

Although the emerging video coding standard High Efficiency Video Coding (HEVC) successfully doubles the compression efficiency of H.264/AVC, its growing computational complexity makes real-time decoding of high-definition HEVC videos a very challenging issue for the existing personal computers and...

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Vydáno v:IEEE transactions on multimedia Ročník 16; číslo 7; s. 1915 - 1928
Hlavní autoři: Duan, Yizhou, Sun, Jun, Yan, Leju, Chen, Keji, Guo, Zongming
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.11.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithm design and analysis
Algorithms
Coding
Computation
Decoders
Decoding
Encoding
high efficiency video coding (HEVC)
Mathematical models
Processors
Program processors
SIMD
Tasks
Transforms
video codecs
Video coding
ISSN:1520-9210, 1941-0077
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Shrnutí:Although the emerging video coding standard High Efficiency Video Coding (HEVC) successfully doubles the compression efficiency of H.264/AVC, its growing computational complexity makes real-time decoding of high-definition HEVC videos a very challenging issue for the existing personal computers and mobile devices. In this paper, a systematical, efficient HEVC decoding solution on general processors is provided, consisting of structure-level, data-level, and task-level approaches. First, a redesigned overall structure of a HEVC decoder with data redundancy reduction mechanism is introduced, which cuts down basic data operation cost and achieves an average decoding speedup of 2.37 × compared to the HM 10.0 decoder. On this basis, novel single-instruction multiple-data (SIMD) algorithms such as low-complexity motion compensation, transpose-free transform, symmetric deblocking filter, and parallel-index sample adaptive offset are developed, which further parallelize the data operations of each decoding task and bring another 2.67 × decoding speedup. Finally, a frame-based task-level parallel framework is employed with a flexible entry scheme to efficiently support the simultaneous processing of multiple decoding tasks for different HEVC parallel strategies. The overall solution achieves decoding fps of 40-75 for 4k HEVC videos on the Intel i7-2600 3.4 GHz quad-core processor (4-thread decoding) and 35-55 for 720p videos on the ARM Cortex-A9 1.2 GHz duo-core processor (2-thread decoding). This proposal is the recommended cross-platform HEVC decoding solution of Intel, AMD, and Cisco, and has provided HEVC service to over 1500 million people in China via the Xunlei Kankan video client.
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ISSN:1520-9210
1941-0077
DOI:10.1109/TMM.2014.2337834