How many clusters are best?—an experiment
Pattern Recognition
Distance measures for signal processing and pattern recognition
Signal Processing
International Journal of Computer Vision
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Does organisation by similarity assist image browsing?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
PhotoMesa: a zoomable image browser using quantum treemaps and bubblemaps
Proceedings of the 14th annual ACM symposium on User interface software and technology
The state of the art in automating usability evaluation of user interfaces
ACM Computing Surveys (CSUR)
Empirical evaluation of dissimilarity measures for color and texture
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
Emergent Semantics through Interaction in Image Databases
IEEE Transactions on Knowledge and Data Engineering
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Perceptual metrics for image database navigation
Perceptual metrics for image database navigation
One-class svms for document classification
The Journal of Machine Learning Research
Visualization and User-Modeling for Browsing Personal Photo Libraries
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
The Amsterdam Library of Object Images
International Journal of Computer Vision
A Six-Stimulus Theory for Stochastic Texture
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
MediaMill: exploring news video archives based on learned semantics
Proceedings of the 13th annual ACM international conference on Multimedia
Proceedings of the 13th annual ACM international conference on Multimedia
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
i.MTV: an integrated system for mtv affective analysis
MM '08 Proceedings of the 16th ACM international conference on Multimedia
CuZero: embracing the frontier of interactive visual search for informed users
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Jointly optimising relevance and diversity in image retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
Interactive image search by 2D semantic map
Proceedings of the 19th international conference on World wide web
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Mining networked media collections
AMR'09 Proceedings of the 7th international conference on Adaptive multimedia retrieval: understanding media and adapting to the user
Botanical data retrieval system supporting discovery learning
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
A similarity measure between videos using alignment, graphical and speech features
Expert Systems with Applications: An International Journal
Sparse transfer learning for interactive video search reranking
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
A kernel-based framework for image collection exploration
Journal of Visual Languages and Computing
An educational application for botanical study in science classes at elementary schools
Proceedings of the 12th International Conference on Interaction Design and Children
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At one end of the spectrum, research in interactive content-based retrieval concentrates on machine learning methods for effective use of relevance feedback. On the other end, the information visualization community focuses on effective methods for conveying information to the user. What is lacking is research considering the information visualization and interactive retrieval as truly integrated parts of one content-based search system. In such an integrated system, there are many degrees of freedom like the similarity function, the number of images to display, the image size, different visualization modes, and possible feedback modes. To base the optimal values for all of those on user studies is unfeasible. We therefore develop search scenarios in which tasks and user actions are simulated. From there, the proposed scheme is optimized based on objective constraints and evaluation criteria. In such a manner, the degrees of freedom are reduced and the remaining degrees can be evaluated in user studies. In this article, we present a system that integrates advanced similarity based visualization with active learning. We have performed extensive experimentation on interactive category search with different image collections. The results using the proposed simulation scheme show that indeed the use of advanced visualization and active learning pays off in all of these datasets.