DocumentCode
2988403
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
fYear
2012
fDate
27-29 June 2012
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Content-Based Multimedia Indexing (CBMI), 2012 10th International Workshop on
Conference_Location
Annecy
ISSN
1949-3983
Print_ISBN
978-1-4673-2368-0
Electronic_ISBN
1949-3983
Type
conf
DOI
10.1109/CBMI.2012.6269852
Filename
6269852
Link To Document