標題: Semantic Video Retrieval by Integrating Concept- and Content-Aware Mining
作者: Wang, Bo-Wen
Su, Ja-Hwung
Chou, Chien-Li
Tseng, Vincent S.
資訊工程學系
Department of Computer Science
關鍵字: Video retrieval;image annotation;cross media retrieval;query-by-example
公開日期: 1-一月-2011
摘要: Video retrieval has been a hot topic due to the prevalence of video capturing devices and media-sharing services such as YouTube. Until now, few past studies has focused on querying the videos by images due to the semantic gap between images and videos is not easy to narrow. To this end, in this paper, we propose a novel semantic video retrieval system that integrates web image annotation and concept matching function to bridge images, concepts and videos. For web image annotation, we exploit textual and visual information in the web image to achieve effective image annotation. For concept matching function, we identify the concept relations by calculating the similarity between two concepts via WordNet. On the basis of web image annotation and concept matching function, the proposed system reaches the goals of usability and intelligence on semantic video retrieval. The experimental results reveal that our proposed system can successfully capture the user's intention between image concepts and video concepts for semantic video retrieval.
URI: http://dx.doi.org/10.1109/TAAI.2011.14
http://hdl.handle.net/11536/146526
ISSN: 2376-6816
DOI: 10.1109/TAAI.2011.14
期刊: 2011 INTERNATIONAL CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI 2011)
起始頁: 32
結束頁: 37
顯示於類別:會議論文