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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/105886


    Title: Computation reduction in high-efficiency video coding based on the similarity of transform unit blocks
    Authors: 張寶基;Chen, Zong-Yi;Fang, Jiunn-Tsair;Chiang, Chung-Shian;Chang, Pao-Chi
    Contributors: 資訊電機學院通訊工程學系
    Date: 2014-01-01
    Issue Date: 2026-04-23 12:59:26 (UTC+8)
    Publisher: SPIE;Society of Photo-Optical Instrumentation Engineers
    Abstract: 摘要: The new video coding standard, high-efficiency video coding, adopts a quadtree structure to provide variable transform sizes in the transform coding process. The heuristic examination of transform unit (TU) modes substantially increases the computational complexity, compared to previous video coding standards. Thus, efficiently reducing the TU candidate modes is crucial. In the proposed similarity-check scheme, sub-TU blocks are categorized into a strongly similar case or a weakly similar case, and the early TU termination or early TU splitting procedure is performed. For the strongly similar case, a property called zero-block inheritance combined with a zero-block detection technique is applied to terminate the TU search process early. For the weakly similar case, the gradients of residuals representing the similarity of coefficients are used to skip the current TU mode or stop the TU splitting process. In particular, the computation time is further reduced because all the required information for the proposed mode decision criteria is derived before performing the transform coding. The experimental results revealed that the proposed algorithm can save ~64% of the TU encoding time on average in the interprediction, with a negligible rate-distortion loss.
    其他題名: J. Electron. Imaging
    出版者: Society of Photo-Optical Instrumentation Engineers
    出版日期: 2014-11-01
    出處: Journal of electronic imaging, 2014-11, Vol.23 (6), p.061105-061105
    版權: 2014 SPIE and IS&T
    識別號: ISSN: 1017-9909
    識別號: EISSN: 1560-229X
    識別號: DOI: 10.1117/1.JEI.23.6.061105
    Appears in Collections:[Department of Communication Engineering] journal & Dissertation

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