Using Topic Concepts for Semantic Video Shots Classification - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2006

Using Topic Concepts for Semantic Video Shots Classification


Automatic semantic classification of video databases is very useful for users searching and browsing but it is a very challenging re- search problem as well. Combination of visual and text modalities is one of the key issues to bridge the semantic gap between signal and semantic. In this paper, we propose to enhance the classification of high- level concepts using intermediate topic concepts and study various fu- sion strategies to combine topic concepts with visual features in order to outperform unimodal classifiers. We have conducted several experiments on the TRECVID'05 collection and show here that several intermediate topic classifiers can bridge parts of the semantic gap and help to detect high-level concepts.
Fichier principal
Vignette du fichier
civr06a.pdf (259.77 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-00953902 , version 1 (03-03-2014)


  • HAL Id : hal-00953902 , version 1


Stéphane Ayache, Georges Quénot, Jérôme Gensel, Shin'Ichi Satoh. Using Topic Concepts for Semantic Video Shots Classification. International Conference on Image and Video Retrieval CIVR'06, 2006, Tempe, United States. ⟨hal-00953902⟩
211 View
142 Download


Gmail Facebook X LinkedIn More