Content without context is meaningless
Proceedings of the international conference on Multimedia
Semantic analysis and retrieval in personal and social photo collections
Multimedia Tools and Applications
Using expert-derived aesthetic attributes to help users in exploring image databases
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
A unified context model for web image retrieval
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Interpreting the semantics of an image is a hard problem. However, for storing and indexing large multimedia collections, it is essential to build systems that can automatically extract semantics from images. In this research we show how we can fuse content and context to extract semantics from digital photographs. Our experiments show that if we can properly model context associated with media, we can interpret semantics using only a part of high dimensional content data.