Titlebook: Advances in Multimedia Modeling; 13th International M Tat-Jen Cham,Jianfei Cai,Liang-Tien Chia Conference proceedings 2006 Springer-Verlag

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Automatic Detection and Recognition of Athlete Actions in Diving Video fuzzy sets and its extensions. However, these are limited to the structural space bounds in representing the information given by the experts or decision-makers. On the other hand, linear diophantine fuzzy sets (LDFSs) eradicate this limitation of the fuzzy set theories and handle uncertainty even

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Francis Y. L. Chin,Hing-Fung Ting,Yong Zhangightly modified to make them suitable for noisy data processing. The proposed system for broadcast diving video analysis has achieved 96.6% detection precision; and 85% recognition accuracy for 13 kinds of diving actions.

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Lecture Notes in Computer Scienceer from this kind of unexpected dropout. Our simulation results show that the proposed scheme reduces the network bandwidth on the server side dramatically, reduces the average waiting time of the client, and improves the service quality.

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