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Conference Paper Content-based utility function prediction for real-time MPEG-4 video transcoding
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Authors
Y. Wang, Jae-Gon Kim, S.-F. Chang
Issue Date
2003-09
Citation
International Conference on Image Processing (ICIP) 2003, pp.189-192
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICIP.2003.1246930
Abstract
Utility function based transcoding is an efficient systematic solution for choosing optimal media transcoding operation to meet dynamic resource constraints (such as bandwidth). However, to date the real-time generation of utility function is not feasible due to computational complexity. In this paper we present a content-based utility function prediction framework for real-time MPEG-4 video transcoding. We develop a statistical approach combining real-time compressed-domain feature extraction, content-based pattern classification and regression. Our extensive experiment results demonstrate that the proposed method achieves very promising prediction accuracy - up to 89% in choosing the optimal transcoding operation with the highest quality from multiple alternatives meeting the same target bitrate.