Evaluating a visualisation of image similarity (poster abstract)
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Does organisation by similarity assist image browsing?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Quantitative analysis of scrolling techniques
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluating a Visualization of Image Similarity as a Tool for Image Browsing
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
Computational models of the perceptual, cognitive, and motor processes involved in the visual search of pull-down menus and computer screens
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Interactive access to large image collections using similarity-based visualization
Journal of Visual Languages and Computing
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Multimedia Tools and Applications
Beyond 2D-grids: a dependence maximization view on image browsing
Proceedings of the international conference on Multimedia information retrieval
Visual search in dynamic 3D visualisations of unstructured picture collections
Interacting with Computers
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Image Browsing on Mobile Devices
ISM '11 Proceedings of the 2011 IEEE International Symposium on Multimedia
A user study of visual search performance with interactive 2d and 3d storyboards
AMR'11 Proceedings of the 9th international conference on Adaptive Multimedia Retrieval: large-scale multimedia retrieval and evaluation
A user study on image browsing on touchscreens
Proceedings of the 20th ACM international conference on Multimedia
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Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
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Many image browsing tools employ a scrollable grid-like arrangement of thumbnails of images for enabling users to browse through image collections. The thumbnails in these arrangements are typically sorted by some kind of metadata, e.g., by filename or creation date. However, users looking for a specific image in mind prefer search by visual similarity rather than search based on simple metadata. In difference to previous work, which rarely present results from user studies, the authors provide empirical evidence that color sorting is an effective approach for that purpose. With a user survey, the authors identify which of six alternative color sorting algorithms produces the most intuitive result. The authors use the best algorithm, a simple HSV-based sorting method, and compare users' visual search performance in a color sorted storyboard against performance in an unsorted storyboard. The results show that color sorting can improve user interaction, both in terms of subjective impressions and visual search times.