Title :
Semantic Web for Content Based Video Retrieval
Author :
Sebastine, Sancho C. ; Thuraisingham, Bhavani ; Prabhakaran, Balakrishnan
Author_Institution :
Dept. of Comput. Sci., Univ. of Texas at Dallas, Richardson, TX, USA
Abstract :
This paper aims to provide a semantic Web based video search engine. Currently, we do not have scalable integration platforms to represent extracted features from videos, so that they could be indexed and searched. The task of indexing extracted features from videos is a difficult challenge, due to the diverse nature of the features and the temporal dimensions of videos. We present a semantic Web based framework for automatic feature extraction, storage, indexing and retrieval of videos. Videos are represented as interconnected set of semantic resources. Also, we suggest a new ranking algorithm for finding related resources which could be used in a semantic Web based search engine.
Keywords :
content-based retrieval; feature extraction; indexing; search engines; semantic Web; video retrieval; automatic feature extraction; content based video retrieval; semantic Web; video indexing; video search engine; video storage; Content based retrieval; Data mining; Feature extraction; Indexing; MPEG 7 Standard; Multimedia databases; Relational databases; Search engines; Semantic Web; Videoconference; content based video retrieval; semantic web; video annotation;
Conference_Titel :
Semantic Computing, 2009. ICSC '09. IEEE International Conference on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-4962-0
Electronic_ISBN :
978-0-7695-3800-6
DOI :
10.1109/ICSC.2009.49
