A New Shot Boundary Detection Algorithm
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
The trecvid 2008 BBC rushes summarization evaluation
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
A study of Zernike invariants for content-based image retrieval
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
The trecvid 2008 BBC rushes summarization evaluation
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
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This paper describes the work performed by the GMRV-URJC team as part of the TRECVid 2008 Rushes Summarization benchmark. The main goal of our approach is to obtain good results by only using low-level techniques. Using only this kind of features also has the advantage of achieving fast processing times. The work presented in this paper is a keyframe-based approach which means that all the process is built around keyframes. The proposed solution can be decomposed in three stages which are the candidate selection, candidate filtering and summary construction. We present an analysis of the results achieved in the official TRECVid tests as well as in some additional runs.