An MPEG-21-driven multimedia adaptation decision-taking engine based on constraint satisfaction problem

Xiao Feng; Rui-chun Tang; Yi-li Zhai; Yu-qing Feng; Bo-hai Hong

doi:10.1117/12.2030651

19 July 2013 An MPEG-21-driven multimedia adaptation decision-taking engine based on constraint satisfaction problem

Xiao Feng, Rui-chun Tang, Yi-li Zhai, Yu-qing Feng, Bo-hai Hong

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 887841 (2013) https://doi.org/10.1117/12.2030651
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

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.

Citation Download Citation

Xiao Feng, Rui-chun Tang, Yi-li Zhai, Yu-qing Feng, and Bo-hai Hong "An MPEG-21-driven multimedia adaptation decision-taking engine based on constraint satisfaction problem", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887841 (19 July 2013); https://doi.org/10.1117/12.2030651

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