A new rate-quantization model for H.264/AVC low-delay rate control
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Detail(s)
Original language | English |
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Title of host publication | Advances in Multimedia Information Processing, PCM 2012 |
Subtitle of host publication | 13th Pacific-Rim Conference on Multimedia, Proceedings |
Publisher | Springer Verlag |
Pages | 492-500 |
Volume | 7674 LNCS |
ISBN (Print) | 9783642347771 |
Publication status | Published - 2012 |
Externally published | Yes |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 7674 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Title | 13th Pacific-Rim Conference on Multimedia, PCM 2012 |
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Place | Singapore |
City | Singapore |
Period | 4 - 6 December 2012 |
Link(s)
Abstract
In this paper, we present a new rate-quantization (R-Q) model for H.264/AVC low-delay rate control. Our rate model is a power function of the quantization stepsize, which is derived through theoretical analysis assuming the Laplacian distributed source. Model parameters are content adaptive and updated frame by frame. Proposed R-Q model is implemented on H.264/AVC reference software JM17.2 to evaluate the performance, where accurate quantization stepsize is selected for each frame according to the target bit rate. As compared to the most recent published work [5] and well-known R-Q model adopted in JM [13], we have shown that almost 2x performance improvement in terms of the bits mismatch error. © 2012 Springer-Verlag.
Research Area(s)
- H.264/AVC, low-delay rate control, Rate-quantization model
Citation Format(s)
A new rate-quantization model for H.264/AVC low-delay rate control. / Hou, Junhui; Wan, Shuai; Ma, Zhan et al.
Advances in Multimedia Information Processing, PCM 2012: 13th Pacific-Rim Conference on Multimedia, Proceedings. Vol. 7674 LNCS Springer Verlag, 2012. p. 492-500 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7674 LNCS).Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review