標題: An Efficient Mode Preselection Algorithm for Fractional Motion Estimation in H.264/AVC Scalable Video Extension
作者: Li, Gwo-Long
Chang, Tian-Sheuan
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Fractional motion estimation;scalable video coding
公開日期: 1-Nov-2013
摘要: The video coding standard, H.264/AVC scalable video extension (SVC), adopts various advanced interlayer prediction modes to explore the data redundancies between layers for better coding efficiency but at the expense of significantly increased computational complexity and data access bandwidth, especially for hardware realization of fractional motion estimation mode decision. To deal with this problem, this paper proposes a mode preselection algorithm for fractional motion estimation in scalable video coding. We first analyze the rate distortion cost relationship between different prediction modes. With the statistical results, several mode preselection rules are proposed to filter out the potentially skippable prediction modes. Simulation results show that our proposed algorithm reduces up to 65.97% prediction modes and 79.79% coding time on average with only 0.036 dB and 0.496% BD-peak signal-to-noise ratio (PSNR) degradation and BD-rate increase, respectively. Furthermore, the proposed mode preselection algorithm has been implemented in hardware and it costs only 9k gate counts, when synthesized by 90nm CMOS technology.
URI: http://dx.doi.org/10.1109/TCSVT.2013.2248496
http://hdl.handle.net/11536/23295
ISSN: 1051-8215
DOI: 10.1109/TCSVT.2013.2248496
期刊: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
Volume: 23
Issue: 11
起始頁: 1837
結束頁: 1848
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