Title :
A Context Centric Approach for Semantic Image Annotation and Retrieval
Author :
Elahi, Najeeb ; Karlsen, Randi ; Akselsen, Sigmund
Author_Institution :
Dept. of Comput. Sci., Univ. of Tromso, Tromso, Norway
Abstract :
In this preliminary research, we discuss techniques to improve the quality of image retrieval and image management with the help of context information over the Web. Our hypothesis is that leveraging the semantic annotated contextual metadata of the image would yield the relevant search results and facilitate building a consistent, unambiguous image knowledge base. Inferencing capability of semantic technology is very useful to deduce the new metadata from the existing metadata about images. We discuss the three different aspects of image context such as spatial, temporal and social context. Spatial and temporal context of the image can easily be gathered by taking advantage of modern digital camera technology. In order to acquire social contextual metadata, we benefit from social network sites.
Keywords :
content-based retrieval; image retrieval; semantic Web; social networking (online); content-based image retrieval; context centric approach; digital camera technology; image management; semantic Web; semantic image annotation; semantic image retrieval quality; semantic technology inferencing capability; social network sites; text-based image retrieval; unambiguous image knowledge base; Computer science; Content based retrieval; Content management; Context-aware services; Digital cameras; Image retrieval; Information retrieval; Quality management; Semantic Web; Social network services; context-aware; image retrieval; semantic web; social networks;
Conference_Titel :
Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:
Conference_Location :
Athens
Print_ISBN :
978-1-4244-5166-1
Electronic_ISBN :
978-0-7695-3862-4
DOI :
10.1109/ComputationWorld.2009.30