• Title/Summary/Keyword: WPP(Wavefront Parallel Processing)

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Method for Applying Wavefront Parallel Processing on Cubemap Video (큐브맵 영상에 Wavefront 병렬 처리를 적용하는 방법)

  • Hong, Seok Jong;Park, Gwang Hoon
    • Journal of Broadcast Engineering
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    • v.22 no.3
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    • pp.401-404
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    • 2017
  • The 360 VR video has a format of a stereoscopic shape such as an isometric shape or a cubic shape or a cubic shape. Although these formats have different characteristics, they have in common that the resolution is higher than that of a normal 2D video. Therefore, it takes much longer time to perform coding/decoding on 360 VR video than 2D Video, so parallel processing techniques are essential when it comes to coding 360 VR video. HEVC, the state of art 2D video codec, uses Wavefront Parallel Processing (WPP) technology as a standard for parallelization. This technique is optimized for 2D videos and does not show optimal performance when used in 3D videos. Therefore, a suitable method for WPP is required for 3D video. In this paper, we propose WPP coding/decoding method which improves WPP performance on cube map format 3D video. The experiment was applied to the HEVC reference software HM 12.0. The experimental results show that there is no significant loss of PSNR compared with the existing WPP, and the coding complexity of 15% to 20% is further reduced. The proposed method is expected to be included in the future 3D VR video codecs.

Performance Analysis of HEVC Parallelization Methods for High-Resolution Videos

  • Ryu, Hochan;Ahn, Yong-Jo;Mok, Jung-Soo;Sim, Donggyu
    • IEIE Transactions on Smart Processing and Computing
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    • v.4 no.1
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    • pp.28-34
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    • 2015
  • Several parallelization methods that can be applied to High Efficiency Video Coding (HEVC) decoders are evaluated. The market requirements of high-resolution videos, such as Full HD and UHD, have been increasing. To satisfy the market requirements, several parallelization methods for HEVC decoders have been studied. Understanding these parallelization methods and objective comparisons of these methods are crucial to the real-time decoding of high-resolution videos. This paper introduces the parallelization methods that can be used in HEVC decoders and evaluates the parallelization methods comparatively. The experimental results show that the average speed-up factors of tile-level parallelism, wavefront parallel processing (WPP), frame-level parallelism, and 2D-wavefront parallelism are observed up to 4.59, 4.00, 2.20, and 3.16, respectively.