Toward a fair enchmark for image browsers

摘要

The recent literature has shown that the principal difficulty in multimedia retrieval is the bridging of the "semantic ga'" between the user's wishes and his ability to fomulate queries. This insight has spawned two main directions of research: Query By EXample (QBE) with relevance feedback (i.e. learning to improve the result of a previsously formulated query) and the research in query formulation techniques, like browsing or query by sketch. Browsing techniques try to help the user in finding his targe image, or an image which is sufficiently close to the desired result that it can be used in a subsequent QBE query.