This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
Performance of traditional content-based image retrieval systems is far from user’s expectation due to the ‘semantic gap’ between low-level visual features and the richness ...
In this paper we discuss the use of knowledge for the analysis and semantic retrieval of video. We follow a fuzzy relational approach to knowledge representation, based on which we...
Manolis Wallace, Thanos Athanasiadis, Yannis S. Av...
We present Avatar Semantic Search, a prototype search engine that exploits annotations in the context of classical keyword search. The process of annotations is accomplished offli...
Eser Kandogan, Rajasekar Krishnamurthy, Sriram Rag...
Keyword-based search engines, though hugely popular, are limited when trying to answer very specific queries. The processing of search results is performed by users, rather than th...
Ian Blacoe, Ignazio Palmisano, Valentina A. M. Tam...