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Abstract
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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. | |
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International
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Si |
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Congress
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ACM Multimedia Conference 2008 |
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960 |
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Place
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Vancouver, Canadá |
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Reviewers
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Si |
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ISBN/ISSN
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978-1-60558-309-9 |
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http://doi.acm.org/10.1145/1463563.1463575 |
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Start Date
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27/10/2008 |
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End Date
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31/10/2008 |
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From page
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70 |
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To page
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74 |
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Proc. of the 2nd ACM Workshop on Video summarization (TVS’08) |