DocumentCode
3269183
Title
Visual Phrases for automatic images annotation
Author
Albatal, Rami ; Mulhem, Philippe ; Chiaramella, Yves
Author_Institution
Lab. d´´Inf. de Grenoble, Grenoble, France
fYear
2010
fDate
23-25 June 2010
Firstpage
1
Lastpage
6
Abstract
Visual characteristics of objects of a class vary with the considered instance and the shooting conditions. In this paper we proposed a visual characterization of object parts, called "Visual Phrase", robust to these variations. A Visual Phrase is a set of regions of interest built according to predefined criteria; a topological criterion was studied in this paper. An automatic annotation method is proposed based on our definition and characterization of Visual Phrases. Experiments on VOC2009 collection is presented, we show that the late fusion of our method with a standard Bag of Visual Words approach on full images provides better results than those obtained via each approach independently.
Keywords
image fusion; image retrieval; automatic image annotation; bag-of-visual words approach; topological criterion; visual phrase; Artificial intelligence; Iron; Noise measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Content-Based Multimedia Indexing (CBMI), 2010 International Workshop on
Conference_Location
Grenoble
ISSN
1949-3983
Print_ISBN
978-1-4244-8028-9
Electronic_ISBN
1949-3983
Type
conf
DOI
10.1109/CBMI.2010.5529909
Filename
5529909
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