Does zooming improve image browsing?
Proceedings of the fourth ACM conference on Digital libraries
Content-based image retrieval with the normalized information distance
Computer Vision and Image Understanding
A survey of browsing models for content based image retrieval
Multimedia Tools and Applications
Two Step Relevance Feedback for Semantic Disambiguation in Image Retrieval
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Searching the web with mobile images for location recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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Abstract ImageRover is a search by image content navigation tool for the world wide web. To gather images expediently, the image collection subsystem utilizes a distributed fleet of WWW robots running on different computers. The image robots gather information about the images they find, computing the appropriate image decompositions and indices, and store this extracted information in vector form for searches based on image content. At search time, users can iteratively guide the search through the selection of relevant examples. Search performance is made efficient through the use of an approximate, optimized k-d tree algorithm. The system employs a novel relevance feedback algorithm that selects the Lm distance metrics appropriate for a particular query.