Search of objects of interest in videos

Boris Mansencal (1) , Jenny Benois-Pineau (1) , Remi Vieux (1) , Jean-Philippe Domenger (1)

1 LaBRI - Laboratoire Bordelais de Recherche en Informatique

The paper addresses the problem of object search in video content. Both Query-By-Example paradigm and context search are explored. In QBE paradigm the object of interest is searched by matching of object signatures built from SURF descriptors with on-the-fly computed signatures in frames. The "context" search is understood as a query on the whole frame with features extracted after a region-based segmentation. Both kinds of features are transcribed in Bag-Of-Words framework. The combination of Bag-of-Visual-Words and Bag-of-Region-Words gives promising results in TRECVID'2011 Instance Search Task.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Boris Mansencal, Jenny Benois-Pineau, Remi Vieux, Jean-Philippe Domenger. Search of objects of interest in videos. 2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI), Jun 2012, Annecy, France. pp.248-253, ⟨10.1109/CBMI.2012.6269809⟩. ⟨hal-00718360⟩