吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (5): 1441-1446.doi: 10.7964/jdxbgxb201405035

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Contest-based content adaptation algorithm and its application in UPnP AV

TANG Rui-chun1,2, FENG Xiao1, DING Xiang-qian1, XU Hui-min1   

  1. 1.College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China;
    2.State Key Laboratory of Digital Appliances, Qingdao 266101, China
  • Received:2013-02-21 Online:2014-09-01 Published:2014-09-01

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Abstract: The content adaptation based on context in UPnP AV is investigated. A Context-based Content Adaptation Algorithm (CBCAA) is proposed. First, the algorithm obtains and classifies the context information. Then it builds the constraint model according to the different types of information, and the constraint satisfaction method is used to acquire Media Description Decision Set (MDDS). Finally, a bit-stream adaptation engine transcodes the media from source media to object media based on MDDS. CBCAA enables UPnP AV adapt the content to environment and provides intelligent services. Simulation results demonstrate the effectiveness of proposed algorithm.

Key words: computer application, context awareness, content adaptation, constraint satisfaction problem

CLC Number: 

  • TP391
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