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A VBR Video Encoding for Locally Consistent Picture Quality With Small Buffering Delay Under Limited Bandwidth

Authors
Lee, HoonjaeSull, Sanghoon
Issue Date
3월-2012
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Buffering delay; consistent picture quality; rate control; variable bit rate (VBR); video encoding
Citation
IEEE TRANSACTIONS ON BROADCASTING, v.58, no.1, pp.47 - 56
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON BROADCASTING
Volume
58
Number
1
Start Page
47
End Page
56
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/105445
DOI
10.1109/TBC.2011.2164308
ISSN
0018-9316
Abstract
During consecutive large picture information changes under limited bandwidth, the use of constant bit rate (CBR) encoding for high definition television (HDTV) broadcasting systems often causes serious picture quality degradation due to the tight constraint on small buffering delay, whereas a variable allocation of bits depending on the picture information changes results in large buffering delay. In this paper, we propose a frame-layer variable bit rate (VBR) video encoding method for maintaining locally consistent picture quality of an encoded video with small buffering delay, which can be used for a video on demand (VOD) system which streams an encoded video file to a client device under limited bandwidth or a real-time streaming application allowing a small delay. An objective function defined as a sum of the local distortion variation of the encoded pictures and the underflow levels at the decoder buffer is minimized with respect to the discrete frame-layer quantization step sizes subject to a constraint on the target number of bits within a temporal sliding window. Then, the constrained discrete minimization problem is converted to an unconstrained continuous minimization problem by introducing a Lagrange multiplier and is solved by applying the first-order necessary condition for local minima with respect to the quantization step sizes. Experimental results demonstrate that the proposed method provides a lower local standard deviation of PSNR comparing with the recent VBR method by 29.2% on average with small buffering delay.
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Sull, Sang hoon
공과대학 (전기전자공학부)
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