Actor retrieval system based on kernels on bags of bags

Shuji Zhao 1 Frédéric Precioso 1 Matthieu Cord 2 Sylvie Philipp-Foliguet 1
1 MIDI - Multimedia Indexation and Data Integration
ETIS - Equipes Traitement de l'Information et Systèmes
2 MALIRE - Machine Learning and Information Retrieval
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : In the domain of multimedia, rapid DVD browsing or multimedia oriented web search require an efficient content-based image and video retrieval system. In this paper, we present our retrieval system of actors in films combining powerful machine learning techniques with “kernels on bags of bags” design. From a film segmented into shots, we extract video-tubes of actor faces and represent these video objects with sets of temporally coherent features. These visual features are then input in the kernel-based SVM retrieval system. Our approach has been tested on retrieving actors in a real film and proved its efficiency.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-00773073
Contributor : Michel Jordan <>
Submitted on : Friday, January 11, 2013 - 3:37:06 PM
Last modification on : Friday, October 4, 2019 - 12:14:02 PM

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  • HAL Id : hal-00773073, version 1

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Shuji Zhao, Frédéric Precioso, Matthieu Cord, Sylvie Philipp-Foliguet. Actor retrieval system based on kernels on bags of bags. EUSIPCO 2008 - 16th European Signal Processing Conference, Aug 2008, Lausanne, Switzerland. pp.1-6. ⟨hal-00773073⟩

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