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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
Publisher
IEEE
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.
KSP Keywords
Compressed Domain, Computational complexity, Domain feature, Dynamic resource, Experiment results, Feature extractioN, MPEG-4 video, Pattern classification, Prediction accuracy, Prediction framework, Real-time generation