Automatic image tagging is important yet challenging due to the semantic gap and the lack of learning examples to model a tag’s visual diversity. Meanwhile, social user tagging ...
Visual information retrieval (VIR) is a research area with more than 300 scientific publications every year. Technological progress lets surveys become out of date within a short ...
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
We propose to incorporate hundreds of pre-trained concept detectors to provide contextual information for improving the performance of multimodal video search. The approach takes ...
We describe a multimedia, multilingual and multimodal research system (CIMWOS) supporting content-based indexing, archiving, retrieval and on-demand delivery of audiovisual content...