Video mining with frequent itemset configurations

Till Quack 1 Vittorio Ferrari 2 Luc Van Gool 1
2 LEAR - Learning and recognition in vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine covariant regions. Our mining method is based on the class of frequent itemset mining algorithms, which have proven their efficiency in other domains, but have not been applied to video mining before. In this work we show how to express vector-quantized features and their spatial relations as itemsets. Furthermore, a fast motion segmentation method is introduced as an attention filter for the mining algorithm. Results are shown on real world data consisting of music video clips.
Type de document :
Communication dans un congrès
Hari Sundaram and Milind R. Naphade and John R. Smith and Yong Rui. International Conference on Image and Video Retrieval (CIVR '06), 2006, Tempe, United States. Springer-Verlag, 4071, pp.360--369, 2006, Lecture Notes in Computer Science (LNCS). 〈http://www.springerlink.com/content/5960q22u66204w51/〉. 〈10.1007/11788034_37〉
Liste complète des métadonnées

Littérature citée [16 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00548580
Contributeur : Thoth Team <>
Soumis le : lundi 20 décembre 2010 - 09:49:20
Dernière modification le : jeudi 11 janvier 2018 - 06:20:04
Document(s) archivé(s) le : lundi 21 mars 2011 - 03:19:47

Fichier

quack-civr06.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

IMAG | INRIA | UGA

Citation

Till Quack, Vittorio Ferrari, Luc Van Gool. Video mining with frequent itemset configurations. Hari Sundaram and Milind R. Naphade and John R. Smith and Yong Rui. International Conference on Image and Video Retrieval (CIVR '06), 2006, Tempe, United States. Springer-Verlag, 4071, pp.360--369, 2006, Lecture Notes in Computer Science (LNCS). 〈http://www.springerlink.com/content/5960q22u66204w51/〉. 〈10.1007/11788034_37〉. 〈inria-00548580〉

Partager

Métriques

Consultations de la notice

307

Téléchargements de fichiers

403