Title :
Toward an assisted context based collaborative annotation
Author :
Ksentini, Nesrine ; Zarka, Mohamed ; Ben Ammar, Anis ; Alimi, Adel M.
Author_Institution :
Regim: Res. Group on Intell. Machines, Univ. of Sfax, Sfax, Tunisia
Abstract :
This paper introduces a novel approach of video annotation by the use of context-based assistance for the annotator. The notion of context plays, actually, a significant role in the multimedia content search and retrieval systems. In fact, a semantic interpretation (or concept) separated from its context produces incomplete information. Moreover, each concept interpretation varies according to different contexts. The assistance that we introduce uses intelligent structures such as context ontology and previous annotation. The evaluation of the proposed assisted annotation prototype has led to promising results by the use of context in the annotation process.
Keywords :
ontologies (artificial intelligence); video retrieval; assisted context based collaborative annotation; context ontology; intelligent structures; multimedia content search and retrieval systems; previous annotation; semantic interpretation; video annotation; Collaboration; Context; Correlation; Ontologies; Semantics; Vectors; Visualization;
Conference_Titel :
Content-Based Multimedia Indexing (CBMI), 2012 10th International Workshop on
Conference_Location :
Annecy
Print_ISBN :
978-1-4673-2368-0
Electronic_ISBN :
1949-3983
DOI :
10.1109/CBMI.2012.6269852