Introduction: Computer Vision Research at NECI
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
Content-based visual information retrieval
Distributed multimedia databases
MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback
Multimedia Tools and Applications
An Architecture of a Web-Based Collaborative Image Search Engine
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
An Optimized Interaction Strategy for Bayesian Relevance Feedback
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Vidya: an experiential annotation system
ETP '03 Proceedings of the 2003 ACM SIGMM workshop on Experiential telepresence
Relevance feedback: perceptual learning and retrieval in bio-computing, photos, and video
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Hidden annotation for image retrieval with long-term relevance feedback learning
Pattern Recognition
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The Bayesian relevance-feedback approach introduced with the PicHunter system is extended to include hidden semantic attributes. The general approach is motivated and experimental results are presented that demonstrate significant reductions in search times (28-32%) using these annotations.