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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/108198


    Title: A new intra prediction with adaptive template matching through finite state machine
    Authors: 林智揚;Yeh, Chia-Hung;Jiang, Shu-Jhen Fan;Lin, Chih-Yang;Suei, Pei-Lun;Chang, Min-Kuan C.
    Contributors: 工學院機械工程學系
    Keywords: Codebook;Finite state machine;H.264/AVC;High Efficiency Video Coding;Intra prediction;Motion estimation;Side-match vector quantization;Video coding
    Date: 2015-01-01
    Issue Date: 2026-04-23 14:38:28 (UTC+8)
    Publisher: Academic Press Inc.;Elsevier Inc
    Abstract: 摘要: •Creates two new intra prediction modes through the concept of a finite state machine.•Adaptively selects the template shape.•Achieves 11% bit rate reduction when compared to H.264/AVC and 4% bit rate reduction when compared to HEVC. This paper presents a new approach that aims to improve the performance of the intra block coding of H.264/AVC and HEVC by using a finite state machine. Based on the high correlations between a frame’s neighboring blocks, the finite state machine is employed at both the encoder and decoder to reduce the number of bits required for intra encoding, improving the coding performance of videos. With the matching adaptive template, a better prediction block is found. Through the proposed extra intra prediction modes, the number of bits required to encode a block is reduced significantly, and thus a better intra coding performance is achieved. In addition, an early termination is proposed to speed-up the coding performance. Experimental results show that with the proposed method, the bit rate can be reduced 11% on average when compared to H.264/AVC and 4% on average when compared to HEVC.
    出版者: Elsevier Inc
    出版日期: 2015-05-01
    出處: Journal of visual communication and image representation, 2015-05, Vol.29, p.33-45
    資源來源: Elsevier ScienceDirect Journals Complete
    版權: 2015 Elsevier Inc.
    識別號: ISSN: 1047-3203
    識別號: EISSN: 1095-9076
    識別號: DOI: 10.1016/j.jvcir.2015.01.010
    Appears in Collections:[Departmant of Mechanical Engineering ] journal & Dissertation

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