An environment for video content indexing and retrieval base don visual features

Authors:
Carlos A. F. Pimentel Filho;Thomas A. Buck;Celso A. S. Santos
Affiliations:
Universidade Salvador -- UNIFACS, Salvador, BA -- Brazil;Universidade Salvador -- UNIFACS, Salvador, BA -- Brazil;Universidade Federal da Bahia -- UFBA, Salvador, BA -- Brazil
Venue:
WebMedia '09 Proceedings of the XV Brazilian Symposium on Multimedia and the Web
Year:
2009

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Abstract

This paper is centered in video information retrieval based on its visual characteristics. It proposes an environment for automatic summarization and indexing of digital videos in order to support content-based video retrieval. The proposed approach applied in a repository containing more than 34 hours of TV news broadcast, key-frame sampled by about 1.25% of the total of frames. This reduced representation was then used for the indexing of video contents, providing the basis for various experiments and analysis of performance for the recovery of visual content in videos with the application of various techniques implemented in this work.