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University of Central Florida at TRECVID 2006 High-Level Feature Extraction and Video Search
2006
TREC Video Retrieval Evaluation
In this paper, we describe our experiments in high-level features extraction and interactive topic search tasks of TRECVID 2006. We designed a unified high-level features extraction framework for the 39 high-level features. Various low-level visual features were extracted from the key-frames of the shots. Then the SVM classifiers were trained fore. The final classification results were produced by fusing and combining these classifiers. The experiment results show that the combined classifiers
dblp:conf/trecvid/LiuZBOKNBS06
fatcat:7itptghdzbbynmadnuip2m3iea