Semantic retrieval and automatic annotation: linear transformations, correlation, and semantic spaces

Jonathon S. Hare; Paul H. Lewis

doi:10.1117/12.838798

10 February 2010 Semantic retrieval and automatic annotation: linear transformations, correlation, and semantic spaces

Jonathon S. Hare, Paul H. Lewis

Proceedings Volume 7540, Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV; 75400U (2010) https://doi.org/10.1117/12.838798
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

This paper proposes a new technique for auto-annotation and semantic retrieval based upon the idea of linearly mapping an image feature space to a keyword space. The new technique is compared to several related techniques, and a number of salient points about each of the techniques are discussed and contrasted. The paper also discusses how these techniques might actually scale to a real-world retrieval problem, and demonstrates this though a case study of a semantic retrieval technique being used on a real-world data-set (with a mix of annotated and unannotated images) from a picture library.

Citation Download Citation

Jonathon S. Hare and Paul H. Lewis "Semantic retrieval and automatic annotation: linear transformations, correlation, and semantic spaces", Proc. SPIE 7540, Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, 75400U (10 February 2010); https://doi.org/10.1117/12.838798

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