SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
IEEE Transactions on Pattern Analysis and Machine Intelligence
PicSOM—content-based image retrieval with self-organizing maps
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
Evaluating a Visualization of Image Similarity as a Tool for Image Browsing
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
Image Browsing using Hierarchical Clustering
ISCC '99 Proceedings of the The Fourth IEEE Symposium on Computers and Communications
Visualization and User-Modeling for Browsing Personal Photo Libraries
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Image database navigation: a globe-Al approach
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Interactive exploration of image collections on mobile devices
AMT'12 Proceedings of the 8th international conference on Active Media Technology
Interactive Exploration of Large Photo Libraries
Proceedings of the Second International Conference on Innovative Computing and Cloud Computing
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Due to the ever growing size of image collections with commercial image databases in excess of 1,000,000 images, efficient and effective ways of browsing and navigation through them as well as locating and searching desired images are in high demand. An interesting approach of providing a navigational tool for image databases has been the application of multidimensional scaling (MDS) where thumbnails of images are projected onto a 2-dimensional space in such a way that the original similarities between images are best preserved. Unfortunately, MDS is both computationally expensive and is only of limited use for large image sets as images are occluding each other while at the same time certain parts of the projection space are not utilised. In this paper we provide an MDS based image database navigation approach that does not suffer from these disadvantages. Based on an initial MDS calculation images are placed on a regular grid which avoids any overlapping effects. Large image datasets are handled through a clustering technique which allows browsing in a hierarchical manner.