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A TV program-oriented user generated content service with seamless video reconstruction ranking in cloud networks

机译:面向电视节目的用户生成内容服务,在云网络中具有无缝视频重建排名

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Internet Protocol Television (IPTV) ubiquitously provides multimedia video services through mobile device, and integrates contents over cloud systems. For allowing users to browse their favorite multimedia videos on cloud networks without the trouble of repeating and complex search, this study presents a personalized TV program-oriented video system automatically searching for the data of high similarity to the one that user is browsing, and reconstructing separated video contents in accordance with a seamless video reconstruction ranking (SVRR). By employing SVRR, the presented system can integrate video data for continuous playing. The study focuses on the system implementation, the design of SVRR, and the accuracy validations of the theories and the algorithm. According to the experiment results, the proposed system was tested and validated with success.
机译:互联网协议电视(IPTV)无处不在通过移动设备提供多媒体视频服务,并通过云系统集成内容。为了使用户能够在云网络上浏览自己喜欢的多媒体视频而无需重复和复杂的搜索麻烦,本研究提出了一种面向个性化电视节目的视频系统,该系统自动搜索与用户正在浏览的视频高度相似的数据,并进行重构根据无缝视频重建排名(SVRR)分离视频内容。通过使用SVRR,提出的系统可以集成视频数据以连续播放。研究重点是系统实现,SVRR的设计以及理论和算法的准确性验证。根据实验结果,对提出的系统进行了测试和验证。

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