vManager, developing a complete CBVR system

Authors:
Andrés Caro;Pablo G. Rodríguez;Rubén Morcillo;Manuel Barrena
Affiliations:
University of Extremadura, Computer Science Dept., Escuela Politécnica, Cáceres, Spain;University of Extremadura, Computer Science Dept., Escuela Politécnica, Cáceres, Spain;University of Extremadura, Computer Science Dept. Escuela Politécnica, Cáceres, Spain;University of Extremadura, Computer Science Dept. Escuela Politécnica, Cáceres, Spain
Venue:
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Year:
2011

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Abstract

Content-Based Video Retrieval (CBVR) is a research area that has drawn a good deal of attention in recent years. The ability to retrieve videos similar to a given one in terms of implicit features (mainly pictorial features) and/or explicit characteristics (eg. semantic context) are the cornerstones of this growing interest. In this paper we present the results obtained within the project vManager, a CBVR system based on local color and motion signatures, our own video representation and different metrics of similarity among videos. The results for real videos point to promising advances, not only as regards the effectiveness of the system, but also in terms of its efficiency.