Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Distributed Multimedia Information Retrieval: Sigir 2003 Workshop on Distributed Information Retrieval, Toronto, Canada, August 2003: Revised, Selected, and Invited Papers (Lecture Notes in Computer Science, 2924)
Context data in geo-referenced digital photo collections
Proceedings of the 12th annual ACM international conference on Multimedia
Generating summaries and visualization for large collections of geo-referenced photographs
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Generating diverse and representative image search results for landmarks
Proceedings of the 17th international conference on World Wide Web
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
Modern Information Retrieval
Foundations and Trends in Information Retrieval
Summarization of personal photologs using multidimensional content and context
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
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Digital photo collections are growing rapidly in number and size, making location of relevant images increasingly difficult. Since very few image collections have a description of their content, an image seeker must manually locate image collections and use that collection's image retrieval system to determine if there are any relevant images for his/her need. Manually describing a large and growing image collection that may contain a variety of diverse themes, is a near impossible task. Thus some techniques for automatic generation of image collection descriptions are needed. Further, since most image retrieval systems use text-based queries, it is important that the collection description also be text-based. In the following, we present a system that can automatically generate an image collection description based on available metadata from all images in the collection. These metadata are extended, using information and services available on the Internet, to provide a rich description of the collection as a whole.