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

fYear

2009

fDate

14-16 Sept. 2009

Firstpage

103

Lastpage

108

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICSC.2009.49

Filename

5298592