In this paper, we present the results of our work on the analysis of an automatic semantic video content indexing and retrieval system based on fusing ...
Abstract. In this paper, we present the results of our work on the analysis of an automatic semantic video content indexing and retrieval system based on ...
Multi-level fusion for semantic video content indexing and retrieval ...
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In this paper, we present the results of our work on the analysis of an automatic semantic video content indexing and retrieval system based on fusing
The task of the classifiers is to detect the video semantic content. Then, classifier outputs are fused using a neural network based on evidence theory (NNET) ...
Abstract. In this paper, we present the results of our work on the anal- ysis of an automatic semantic video content indexing and retrieval sys-.
The huge amount of videos currently available poses a difficult problem in semantic video retrieval. The success of query-by-concept, recently proposed to ...
Oct 31, 2008 · ABSTRACT. The huge amount of videos currently available poses a dif- ficult problem in semantic video retrieval. The success of.
Multi-level fusion for semantic video content indexing and retrieval. PUBLICATION: Multi-level fusion for semantic video content indexing and retrieval.
Multi-level Fusion for Semantic Video Content Indexing and Retrieval. Chapter number, 13. Book title. Adaptive Multimedia Retrieval: Retrieval, User, and ...
Video semantic concept detection is a fundamental problem with many practical applications such as concept-based video retrieval.