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Proceedings Paper

An MPEG-21-driven multimedia adaptation decision-taking engine based on constraint satisfaction problem
Author(s): Xiao Feng; Rui-chun Tang; Yi-li Zhai; Yu-qing Feng; Bo-hai Hong
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Paper Abstract

Multimedia adaptation decision-taking techniques based on context are considered. Constraint satisfaction problem-Based Content Adaptation Algorithm (CBCAA) is proposed. First the algorithm obtains and classifies context information using MPEG-21; then it builds the constraint model according to different types of context information, constraint satisfaction method is used to acquire Media Description Decision Set (MDDS); finally a bit-stream adaptation engine performs the multimedia transcoding. Simulation results prove that the presented algorithm offers an efficient solution for personalized multimedia adaptation in heterogeneous environments.

Paper Details

Date Published: 19 July 2013
PDF: 7 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887841 (19 July 2013); doi: 10.1117/12.2030651
Show Author Affiliations
Xiao Feng, Ocean Univ. of China (China)
Rui-chun Tang, Ocean Univ. of China (China)
State Key Lab. of Digital Appliances (China)
Yi-li Zhai, Qingdao Haier Electronic Co. Ltd. (China)
Yu-qing Feng, Ocean Univ. of China (China)
Bo-hai Hong, Ocean Univ. of China (China)

Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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