Multimedia Information Retrieval Based On Late Semantic Fusion Approaches- Experiments On A Wikipedia Image Collection
This paper proposes an improved system using a textual pre-filtering combined with an image re-ranking in a
Multimedia Information Retrieval task. Three different sub systems Text based subsystem, content based subsystem and
fusion of both subsystems is used for multimedia information retrieval processes to overcome semantic gap in a given query.
To get the accurate result we use Multimedia information retrieval on publicly available Image CLEF Wikipedia Collection.
Keywords—Content-based information retrieval, multimedia information, multimedia retrieval, text-based image retrieval