KEYWORDS: Video, Multimedia, Analytical research, Semantic video, Video coding, Internet, Personal digital assistants, Visualization, Motion estimation, Mobile devices
Along with growing up of wireless network and mobile devices, more and more users expect to access multimedia content not only by PC terminal, but also through those pervasive devices. In this paper, we proposed a content-based video-streaming framework for universal multimedia access (UMA). The framework that mainly combines the video analysis with the video streaming technology can make the pervasive device access the multimedia information at anywhere, anytime and anyhow. Our contribution of this paper is to streaming video data according to the video analysis result, the video data during transmission is no more “meaningless information” bits. We have implemented a UMA server, which customizes the video stream according to the video analysis result and the capabilities of client, and a UMA client that receives the adapted video stream.
A projected growth of digital video databases and hence the importance of management strategies creates a challenging task for researchers. Index and search technology must enable access to humanly meaningful segments within video data streams if this increase of content is to be at all useful. The fundamental task in video analysis and retrieval then is to facilitate the human computer interface by bridging the worlds of low-level physical features in media and high-level human description. In this paper, we have discussed the key issues about design and implement a video management system based on MPEG-7. From this, we introduce Tsinghua Video Find-It System (TVFind), a prototype platform for retrieving and browsing within a video database system over web.
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