Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Integrative Semantic Framework for Image Annotation and Retrieval
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Effective and efficient browsing of image databases
International Journal of Imaging Systems and Technology - Multimedia Information Retrieval
Navigation and Browsing of Image Databases
SOCPAR '09 Proceedings of the 2009 International Conference of Soft Computing and Pattern Recognition
A next generation browsing environment for large image repositories
Multimedia Tools and Applications
Image database navigation on a hierarchical MDS grid
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Hierarchical image database navigation on a hue sphere
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Image database navigation: a globe-Al approach
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Interacting with image collections: visualisation and browsing of image repositories
Proceedings of the 20th ACM international conference on Multimedia
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Visual information, in particular in form of images, is becoming increasingly important, and consequently efficient and effective tools for managing these rapidly growing collections are highly sought after. Interactive image database browsing systems provide an interesting alternative to retrieval-based approaches as they let the user explore an image dataset in an intuitive fashion. Based on content-based concepts, large image collections are visualised so that visually similar images are located close to each other in the visualisation space. Once displayed, the user can then interactively browse through the image collection. The main approaches to visualising and browsing image collections are mapping-based techniques, which are based on dimensionality reduction, and clustering-based methods, that group similar images together. In this paper, we highlight how these two approaches can be effectively combined to devise an intuitive image database navigation system that has low computational requirements, both offline and online, and organises images based on colour content on a spherical visualisation space while providing hierarchical access to large image datasets.