Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated image annotation using global features and robust nonparametric density estimation
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Balancing thread based navigation for targeted video search
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
A survey of browsing models for content based image retrieval
Multimedia Tools and Applications
MM '08 Proceedings of the 16th ACM international conference on Multimedia
A novel approach to enable semantic and visual image summarization for exploratory image search
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Faceted exploration of image search results
Proceedings of the 19th international conference on World wide web
Tagging image by exploring weighted correlation between visual features and tags
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Improving image tags by exploiting web search results
Multimedia Tools and Applications
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This paper outlines a system for searching and browsing 1.14 million images from the World Wide Web (WWW) based on their visual content. At the heart of the system lies an automatically constructed network of images that can be navigated quickly by following its edges. The browsing experience is enhanced in a number of ways including multidimensional scaling of the graph neighbourhood for display purposes, Markov clustering of the image network to provide summaries of its content, and automated annotation of the images to allow users to access the network through text queries.