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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106790


    Title: Fast intra-coding for H.264/AVC by using projection-based predicted block residuals
    Authors: 蘇柏齊;Wu, Ching-Yu;Su, Po-Chyi
    Contributors: 資訊電機學院資訊工程學系
    Keywords: Acceleration;Applied sciences;Artificial intelligence;Coding, codes;Computer science;control theory;systems;Encoding;Exact sciences and technology;H.264/AVC;Information, signal and communications theory;intra prediction;mode decision;Optimization;Pattern recognition. Digital image processing. Computational geometry;Rate-distortion;Signal and communications theory;Streaming media;Telecommunications and information theory;Vectors;Video coding
    Date: 2013-08-02
    Issue Date: 2026-04-23 13:42:43 (UTC+8)
    Publisher: Institute of Electrical and Electronics Engineers Inc.;New York, NY: IEEE
    Abstract: 摘要: An efficient intra-prediction mode decision mechanism for H.264/AVC is presented in this research. A projection-based approach, which employs the reconstructed surrounding pixels and block content to compute the predicted block residuals (PBR), can effectively eliminate less probable modes from the computation of Rate Distortion Optimization. Both the projected vectors and corresponding predictors can be formed by shifting/adding the related data so the proposed scheme is suitable for hardware implementation. According to the PBR and coding information acquired during the encoding process, some prediction modes can also be skipped to further accelerate the intra coding. The experimental results show that the proposed scheme can effectively reduce the encoding time with slight video quality degradation and bit-rate increment.
    其他題名: TMM
    出版者: New York, NY: IEEE
    出版日期: 2013-08-01
    出處: IEEE transactions on multimedia, 2013-08, Vol.15 (5), p.1083-1093
    資源來源: IEEE Electronic Library (IEL)
    版權: 2014 INIST-CNRS
    識別號: ISSN: 1520-9210
    識別號: EISSN: 1941-0077
    識別號: DOI: 10.1109/TMM.2013.2247033
    識別號: CODEN: ITMUF8
    Appears in Collections:[Department of Computer Science and information Engineering] journal & Dissertation

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