2003 IEEE International Conference on Consumer Electronics, 2003. ICCE.
DOI: 10.1109/icce.2003.1218832
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A constant-quality, single-pass VBR control for DVD recorders

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Cited by 3 publications
(4 citation statements)
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“…[3,4]), they can be converted to perceptual quality constrained problems. We can select a proper qp init for the fixed QP encoding in 2.1 that achieves the closest PSNR value to Q, and then the corresponding MS-SSIM value can be used as the new constraint.…”
Section: Quality Constrained Video Encodingmentioning
confidence: 99%
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“…[3,4]), they can be converted to perceptual quality constrained problems. We can select a proper qp init for the fixed QP encoding in 2.1 that achieves the closest PSNR value to Q, and then the corresponding MS-SSIM value can be used as the new constraint.…”
Section: Quality Constrained Video Encodingmentioning
confidence: 99%
“…There are many works for this quality constrained video encoding (e.g. [3,4]), most of them use multi-pass method to achieve the consistent quality, and face for the application of non-realtime encodings (e.g. DVD, streaming video, etc.).…”
Section: Introductionmentioning
confidence: 99%
“…[6]) can address this issue by minimizing the maximum distortion among the sources, and thus achieve much smaller quality variation. Among them, most of the works aimed at minimizing the quality variation are doing at frame-layer, and based on the mean square error (MSE) or the peak signal to noise ratio (PSNR) [7,8]. In this paper, we attempt to optimize the bit allocation for MBs in a quantization-based encoder through the MINMAX criterion, aiming at consistent perceptual quality everywhere inside image/frame (hereafter referred to as "frame" collectively).…”
Section: Introductionmentioning
confidence: 99%
“…Such algorithms perform effectively, but the computational complexity and the two-pass nature make them unsuitable for realtime applications. To solve this problem, several single-pass constant-quality rate control algorithms have been developed [12]- [14]. In these algorithms, the quantization parameter for a frame is selected according to the statistics gathered from previously encoded frames.…”
Section: Introductionmentioning
confidence: 99%