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A Semantics-based Video Retrieval System using Annotation and Feature  

이종희 (숭실대학교 컴퓨터학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.41, no.4, 2004 , pp. 95-102 More about this Journal
Abstract
In order to process video data effectively, it is required that the content information of video data is loaded in database and semantic-based retrieval method can be available for various query of users. Currently existent contents-based video retrieval systems search by single method such as annotation-based or feature-based retrieval, and show low search efficiency md requires many efforts of system administrator or annotator because of imperfect automatic processing. In this paper, we propose semantics-based video retrieval system which support semantic retrieval of various users by feature-based retrieval and annotation-based retrieval of massive video data. By user's fundamental query and selection of image for key frame that extracted from query, the agent gives the detail shape for annotation of extracted key frame. Also, key frame selected by user become query image and searches the most similar key frame through feature based retrieval method and optimized comparison area extracting that propose. Therefore, we propose the system that can heighten retrieval efficiency of video data through semantics-based retrieval.
Keywords
Video Indexing; Semantics-based Retrieval; Optimized Comparison Area Extracting;
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