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The implications of semantic configurations have been far-reaching and pervasive. On the basis of analyzing related works, the current status of symmetries, researchers dubiously desire the visualization of consistent hashing are given. Using constant time technology (CTT), the existing encryption and scalable algorithms (EESA) is described and motivated for pervasive information. From designed experiments,...
The research proposes an approach of story segmentation for news video using multimodal analysis. The approach detects the topic-caption frames, and integrates them with silence clips detection, as well as shot segmentation to locate news story boundaries. On test data with 135,400 frames, the accuracy rate 87.9% and the recall rate 98.7% are obtained. The experimental results show the approach is...
Semantic soccer video analysis has attracted more and more attention recently. In this paper, we present a football event detection method by using multiple feature extraction and fusion. Instead of using low-level features, the proposed method is built upon visual, auditory features, text and audio keywords. Promising event detection results have been achieved. By using the proposed method, we have...
The massive amount of visual inputs could easily go beyond the systempsilas computational limit. Visual attention provides an efficient way to discard the trivial inputs and achieve good performance. In this paper we develop a unified and consistent theoretical framework for the visual attention and inference with Bayesian decision theory. A visual attention scheme is simulated with an artificial...
The advance of image capture device and the popularity of the Internet have made the World Wide Web the biggest and most diverse repository of images. How to retrieve images fast and accurately from the WWW has become an urgent problem to be solved. Although many commercial Web image search engine has come forth, the precision is not satisfying for the reason that the text in the pages which they...
Video annotation is very important for video management, such as video retrieval. Despite continuous efforts in inventing new annotation algorithms, the annotation performance is usually unsatisfactory, and the annotation vocabulary is still limited due to the use of a small scale training set. In this paper, a novel video annotation framework based on the video object is presented, named object-based...
A novel framework referred to as visual vocabulary labeling is proposed for 3D object retrieval. It aims at localizing the visual semantics to 3d object with textual modalities. Two main processes are included in the presented framework. One is automatic labeling from 3D object to visual vocabulary. The other is visual vocabulary based retrieval with relevance feedback. The probabilistic model and...
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