Paper
28 January 2008 Determining optimal configuration of video encoding parameters using numerical search algorithms
Huipin Zhang, Guy Cote
Author Affiliations +
Proceedings Volume 6822, Visual Communications and Image Processing 2008; 682211 (2008) https://doi.org/10.1117/12.767524
Event: Electronic Imaging, 2008, San Jose, California, United States
Abstract
We introduce a systematic approach to configuring the video encoding parameters for optimal video encoding in this paper. The determination of optimal video encoding parameters is formulated as an optimization problem of maximizing the expected video encoding quality under a set of constraints that may include a video quality measure, a target bitrate, computation, memory bandwidth, etc. We use the Video Quality Metric, a measurement paradigm of video quality that is based on algorithms for objective measurement of video quality, to measure the expected video encoding performance. The optimization problem can be solved through an efficient multidimensional numerical search method, direct simplex search method, with encoding of various sequences with different encoding parameter settings. We illustrate the approach to determine parameters to enable optimal MB level quantization parameter adaptation in H.264 / AVC.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huipin Zhang and Guy Cote "Determining optimal configuration of video encoding parameters using numerical search algorithms", Proc. SPIE 6822, Visual Communications and Image Processing 2008, 682211 (28 January 2008); https://doi.org/10.1117/12.767524
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CITATIONS
Cited by 2 scholarly publications and 2 patents.
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KEYWORDS
Video coding

Video

Computer programming

Quantization

Photonic integrated circuits

Quality measurement

Modulation

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