Paper
14 March 2005 MPEG motion picture coding with long-term constraint on distortion variation
Author Affiliations +
Proceedings Volume 5685, Image and Video Communications and Processing 2005; (2005) https://doi.org/10.1117/12.584960
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
A highly desirable feature in storage video applications is uniform video quality. Variable bit rate (VBR) coding has the potential to produce nearly constant quality throughout an entire movie. This can be defined as a bit allocation problem with a long-term constraint on distortion variation. We consider optimal bit allocation with multiple constraints including disk capacity and distortion bounds on the individual frames. We find the theoretical optimality conditions and propose a practical iterative solution based on Lagrangian methods. While minimizing both average distortion and distortion variation cannot be achieved simultaneously for a given bit budget, the proposed algorithms are able to efficiently trade-off between the two goals. The computational complexity of the exact rate-distortion (R-D) functions for real movies is addressed by a statistical R-D model proposed in this work. The model is formed by a rate-quantization (R-Q) function and the corresponding distortion-quantization (D-Q) function. A novel two-pass MPEG-2 VBR encoder based on the proposed algorithms is developed for coding with long-term nearly constant quality. Experimental results are promising and the encoder effectively achieves the fit-to-disc function and at the same time controls objective quality variation. By incorporating basic subjective coding techniques into the encoder significant visual quality improvement is observed during the preliminary subjective tests.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kai Wang and John W. Woods "MPEG motion picture coding with long-term constraint on distortion variation", Proc. SPIE 5685, Image and Video Communications and Processing 2005, (14 March 2005); https://doi.org/10.1117/12.584960
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Cited by 2 scholarly publications.
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KEYWORDS
Distortion

Computer programming

Quantization

Video

Visualization

Algorithm development

Detection and tracking algorithms

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