Semantic spaces revisited: investigating the performance of auto-annotation and semantic retrieval using semantic spaces
Hare, Jonathan, Samangooei, Sina, Lewis, Paul and Nixon, Mark (2008) 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, Niagara Falls, Ontario, Canada, 07 - 09 Jul 2008. ACM, 359-368.
- Published Version
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.
|Item Type:||Conference or Workshop Item (Poster)|
|Additional Information:||Event Dates: July 7-9 2008|
|Keywords:||semantic image retrieval, latent semantic analysis, LSA, LSI, PLSA, probabilistic latent semantic analysis, performance, auto-annotation|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
|Date Deposited:||19 Jul 2008 10:20|
|Last Modified:||27 Mar 2014 20:11|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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