Original scientific paper
https://doi.org/10.2498/cit.1001478
A Framework of Indexation and Document Video Retrieval Based on the Conceptual Graphs
Mounir Zrigui
; Research Unit of Technologies of Information and Communication (UTIC), Faculty of Science, Monastir University, Tunisia
Mubarak Charhad
; Research Unit of Technologies of Information and Communication (UTIC), Faculty of Science, Monastir University, Tunisia
Anis Zouaghi
; Research Unit of Technologies of Information and Communication (UTIC), Faculty of Science, Monastir University, Tunisia
Abstract
Most of the video indexing and retrieval systems suffer from the lack of a comprehensive video model capturing the image semantic richness, the conveyed signal information and the spatial relations between visual entities. To remedy such shortcomings, we present in this paper a video model integrating visual semantics, spatial and signal characterizations. It relies on an expressive representation formalism handling high-level video descriptions and a full-text query framework in an attempt to operate video indexing and retrieval beyond trivial low-level processes, semantic-based keyword annotation and retrieval frameworks.
Keywords
Hrčak ID:
59537
URI
Publication date:
30.9.2010.
Visits: 1.275 *