10 February 2010 Semantic retrieval and automatic annotation: linear transformations, correlation, and semantic spaces
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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.
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Jonathon S. Hare, 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); doi: 10.1117/12.838798; https://doi.org/10.1117/12.838798
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