Share Email Print
cover

Proceedings Paper

Semantic retrieval and automatic annotation: linear transformations, correlation, and semantic spaces
Author(s): Jonathon S. Hare; Paul H. Lewis
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 10 February 2010
PDF: 11 pages
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
Show Author Affiliations
Jonathon S. Hare, Univ. of Southampton (United Kingdom)
Paul H. Lewis, Univ. of Southampton (United Kingdom)


Published in SPIE Proceedings Vol. 7540:
Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV
Theo Gevers; Qian Lin; Raimondo Schettini; Zhigang Fan; Cees Snoek, Editor(s)

© SPIE. Terms of Use
Back to Top