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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...
Automatic annotating images by equipment is of great interest as it meets one's common need for retrieving image content. Usually image content description with keywords is regarded as a visual-word correlation process. However, in view of the viewer's psychology, image to words is a kind of cognition process, which depends more on the experience for one to understand what's in an image. In this paper,...
Automatic image annotation is a promising key to semantic-based image retrieval by keywords. Most existing automatic image annotation approaches focused on exploring the relationship between images and annotation words and neglected the semantic information of the annotated keywords. In this paper we propose a semi-automatic image annotation framework. First we annotate the training images with our...
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