A probabilistic framework of selecting effective key frames for video browsing and indexing

Riad Hammoud 1 Roger Mohr 1
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : To represent effectively the video content, for browsing, indexing and video skimming, the most characteristic frames (called key-frames) should be extracted from given shots. This paper, briefly reviews and evaluates the existing approaches of key-frames extraction; and then introduces a framework of selecting effective key-frames using an unsupervised clustering method. The mixture of Gaussians is used to model the temporal variation of the feature vectors of all frames in the shot. As a result, the feature-based representation of the shot is partitioned into several clusters. From each obtained cluster, firstly the closest frame to the median of its frames is selected as a reference key-frame. Then depending on the variation in time and appearance of the cluster content against the reference key-frame multiple frames can be extracted to represent effectively the cluster. The number of clusters is determined automatically by the Bayes Information Criterion. Experimental results on tracked objects in a real-world video stream are presented which illustrate the performance of the proposed technique.
keyword : MOVI
Type de document :
Communication dans un congrès
International workshop on Real-Time Image Sequence Analysis (RISA '00), Aug 2000, Oulu, Finland. pp.79--88, 2000
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https://hal.inria.fr/inria-00548295
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Soumis le : mardi 21 décembre 2010 - 17:03:20
Dernière modification le : mercredi 11 avril 2018 - 01:53:34
Document(s) archivé(s) le : mardi 22 mars 2011 - 02:38:31

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Riad Hammoud, Roger Mohr. A probabilistic framework of selecting effective key frames for video browsing and indexing. International workshop on Real-Time Image Sequence Analysis (RISA '00), Aug 2000, Oulu, Finland. pp.79--88, 2000. 〈inria-00548295〉

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