The Role of Relevance Feedback in Managing Multimedia Semantics: A Survey
Samar Zutshi (Monash University, Australia), Campbell Wilson (Monash University, Australia), Shonali Krishnamurthy (Monash University, Australia) and Bala Srinivasan (Monash University, Australia)
Copyright: © 2005
Relevance feedback is a mature technique that has been used to take user subjectivity into account in multimedia retrieval. It can be seen as an attempt to bridge the semantic gap by keeping a human in the loop. A variety of techniques have been used to implement relevance feedback in existing retrieval systems. An analysis of these techniques is used to develop the requirements of a relevance feedback technique that aims to be capable of managing semantics in multimedia retrieval. It is argued that these requirements suggest a case for a user-centric framework for relevance feedback with low coupling to the retrieval engine.