Comparing discriminating transformations and SVM for learning during multimedia retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Learning from User Behavior in Image Retrieval: Application of Market Basket Analysis
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
ETP '03 Proceedings of the 2003 ACM SIGMM workshop on Experiential telepresence
Evaluating content-based filters for image and video retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Addressing the challenge of visual information access from digital image and video libraries
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
A new ROI based image retrieval system using an auxiliary Gaussian weighting scheme
Multimedia Tools and Applications
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The paper presents a panoraanic view of tile work carried ont in the last few years in the area of interactive content-based image retrieval. We define a unifying framework based on query space in which exisiting methods are described. The framework allows to evaluate methods in their proper context. An important part of the framework is a classification of different query types which helps in bridging the gap between desired functionality and efficient support in actual system. Having put methods in a common framework given way to indentify promising research directions that have not yet been sufficiently explored.