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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

Puni tekst: engleski, pdf (632 KB) str. 245-256 preuzimanja: 424* citiraj
APA 6th Edition
Zrigui, M., Charhad, M. i Zouaghi, A. (2010). A Framework of Indexation and Document Video Retrieval Based on the Conceptual Graphs. Journal of computing and information technology, 18 (3), 245-256. https://doi.org/10.2498/cit.1001478
MLA 8th Edition
Zrigui, Mounir, et al. "A Framework of Indexation and Document Video Retrieval Based on the Conceptual Graphs." Journal of computing and information technology, vol. 18, br. 3, 2010, str. 245-256. https://doi.org/10.2498/cit.1001478. Citirano 25.06.2019.
Chicago 17th Edition
Zrigui, Mounir, Mubarak Charhad i Anis Zouaghi. "A Framework of Indexation and Document Video Retrieval Based on the Conceptual Graphs." Journal of computing and information technology 18, br. 3 (2010): 245-256. https://doi.org/10.2498/cit.1001478
Harvard
Zrigui, M., Charhad, M., i Zouaghi, A. (2010). 'A Framework of Indexation and Document Video Retrieval Based on the Conceptual Graphs', Journal of computing and information technology, 18(3), str. 245-256. doi: https://doi.org/10.2498/cit.1001478
Vancouver
Zrigui M, Charhad M, Zouaghi A. A Framework of Indexation and Document Video Retrieval Based on the Conceptual Graphs. Journal of computing and information technology [Internet]. 2010 [pristupljeno 25.06.2019.];18(3):245-256. doi: https://doi.org/10.2498/cit.1001478
IEEE
M. Zrigui, M. Charhad i A. Zouaghi, "A Framework of Indexation and Document Video Retrieval Based on the Conceptual Graphs", Journal of computing and information technology, vol.18, br. 3, str. 245-256, 2010. [Online]. doi: https://doi.org/10.2498/cit.1001478

Sažetak
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.

Hrčak ID: 59537

URI
https://hrcak.srce.hr/59537

Posjeta: 601 *