Hare, Jonathan, Samangooei, Sina, Lewis, Paul and Nixon, Mark
Semantic spaces revisited: investigating the performance of auto-annotation and semantic retrieval using semantic spaces
At CIVR '08: The 2008 international conference on Content-based image and video retrieval, Canada.
07 - 09 Jul 2008.
Semantic spaces encode similarity relationships between objects as a function of position in a mathematical space. This paper discusses three different formulations for building semantic spaces which allow the automatic-annotation and semantic retrieval of images. The models discussed in this paper require that the image content be described in the form of a series of visual-terms, rather than as a continuous feature-vector. The paper also discusses how these term-based models compare to the latest state-of-the-art continuous feature models for auto-annotation and retrieval.
Conference or Workshop Item
||Event Dates: July 7-9 2008
|Venue - Dates:
||CIVR '08: The 2008 international conference on Content-based image and video retrieval, Canada, 2008-07-07 - 2008-07-09
||semantic image retrieval, latent semantic analysis, LSA, LSI, PLSA, probabilistic latent semantic analysis, performance, auto-annotation
||Vision, Learning and Control, Web & Internet Science
|7 July 2008||Published|
||19 Jul 2008 10:20
||17 Apr 2017 19:08
|Further Information:||Google Scholar|
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