Query Understanding in Content-Based Image Retrieval Context

Queries in content-based image retrieval are usually ill-defined since the variability of query attributes is not explicitly specified and depends on user tolerance. In this paper, we aim at determining the query variability from user interaction and integrating it into the search process by adapting the calculated similarity to a perceived one. We examine in-depth the query understanding in the case of object retrieval. Our method is tested on the system THIS [14], results are promising.