ImageGrouper: Search, Annotate and Organize Images by Groups
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
Image Navigation: A Massively Interactive Model for Similarity Retrieval of Images
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Object of interest-based visual navigation, retrieval, and semantic content identification system
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Browsing visual collections using graphs
Proceedings of the international workshop on Workshop on multimedia information retrieval
A survey of browsing models for content based image retrieval
Multimedia Tools and Applications
Group-based interface for content-based image retrieval
Proceedings of the Working Conference on Advanced Visual Interfaces
Foundations and Trends in Information Retrieval
Online shopping using a two dimensional product map
EC-Web'07 Proceedings of the 8th international conference on E-commerce and web technologies
Organizing and browsing image search results based on conceptual and visual similarities
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Similarity-based image organization and browsing using multi-resolution self-organizing map
Image and Vision Computing
A nonlinear method for dimensionality reduction of data using reference nodes
Pattern Recognition and Image Analysis
Interactive browsing of image repositories
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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Current image retrieval systems offer either an exploratory search method through browsing and navigation or a direct search method based on specific queries. Combining both of these methods in a uniform framework allows users to formulate queries more naturally, since they are already acquainted with the contents of the database and with the notion of matching the machine would use to return results. We propose a multi-modes and integrated image retrieval system that offers the user quick and effective previewing of the collection, intuitive and natural navigating to any parts of it, and query by example or composition for more specific and clearer retrieval goals.