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Article Dans Une Revue International Journal of Multimedia Data Engineering and Management (IJMDEM) Année : 2012

Video Segmentation and Structuring for Indexing Applications

Résumé

This paper introduces a complete framework for temporal video segmentation. First, a computationally efficient shot extraction method is introduced, which adopts the normalized graph partition approach, enriched with a non-linear, multiresolution filtering of the similarity vectors involved. The shot boundary detection technique proposed yields high precision (90%) and recall (95%) rates, for all types of transitions, both abrupt and gradual. Next, for each detected shot we construct a static storyboard, by introducing a leap keyframe extraction method. The video abstraction algorithm is 23% faster than existing, state of the art techniques, for similar performances. Finally, we propose a shot grouping strategy that iteratively clusters visually similar shots, under a set of temporal constraints. Two different types of visual features are here exploited: HSV color histograms and interest points. In both cases, the precision and recall rates present average performances of 86%.
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Dates et versions

hal-00735686 , version 1 (26-09-2012)

Identifiants

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Ruxandra Tapu, Titus Zaharia. Video Segmentation and Structuring for Indexing Applications. International Journal of Multimedia Data Engineering and Management (IJMDEM), 2012, 2 (4), pp.38-58. ⟨10.4018/jmdem.2011100103⟩. ⟨hal-00735686⟩
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