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With the popularity of Internet video, video retrieval applications become more and more widespread. The effect of the traditional retrieval optimization algorithms cannot meet the needs of users. To improve rearrangement semantic rationality of video search results, this paper introduces the video annotation to mark based on the video content objectively. At the same time, the use of words semantic...
Video annotation is a kind of "high-level feature extraction" or "semantic concept detection", which is a promising approach to bridging semantic gap between low-level features and user descriptions. In this paper we propose a two layer video annotation scheme based on video structure and the visual context information through the video clips. To improve the retrieval performance...
Image has various inherent features which reflect its content such as color, texture, shape, spatial relationship features etc How to organize and utilize these features effectively and improve the retrieval performance is a valuable research topic in content-based image retrieval. One of the key issues in image retrieval based on combined features is how to assign weight to different feature. An...
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