This demonstration highlights the benefits that image retrieval systems can enjoy by use of a thoughtful interface. We present a live demonstration of PRISM, a new Web-based application that, through a simple set of natural actions, allows the user the ability to elicit sophisticated responses from easily-formed queries. Additionally, the system was designed with not only content-based, but also content-free image retrieval and semantic annotation in mind. The demonstration system uses an attention-based method for extracting and determining the relevance of salient regions of interest in an unsupervised way, but can be adapted to a variety of implementations.
Citation:
Liam M. Mayron, Oge Marques, Gustavo B. Borba, Humberto R. Gamba, Vladimir Nedovic, "A Forward-Looking User Interface for CBIR and CFIR Systems," ism, pp.779-780, Eighth IEEE International Symposium on Multimedia (ISM'06), 2006