Christophe Meilhac,Matthias M. Mitschke,Chahab Nastar
出处
期刊:Proceedings日期:2002-11-27卷期号:: 266-267被引量:5
标识
DOI:10.1109/acv.1998.732899
摘要
Relevance feedback is one of the strong components of Surfimage, the INRIA content-based image retrieval system. Relevance feedback is about learning from user interaction, and is useful in tasks like query refinement and multiple queries. We present two relevance feedback techniques currently implemented in Surfimage.