DocumentCode
2930484
Title
Visual word pairs for automatic image annotation
Author
Herve, Nicolas ; Boujemaa, Nozha
Author_Institution
IMEDIA project Domaine de Voluceau, INRIA Paris-Rocquencourt, Le Chesnay, France
fYear
2009
fDate
June 28 2009-July 3 2009
Firstpage
430
Lastpage
433
Abstract
The bag-of-visual-words is a popular representation for images that has proven to be quite effective for automatic annotation. In this paper, we extend this representation in order to include weak geometrical information by using visual word pairs. We show on a standard benchmark dataset that this new image representation improves significantly the performances of an automatic annotation system.
Keywords
image representation; text analysis; automatic image annotation; image representation; standard benchmark dataset; visual word pairs; weak geometrical information; Histograms; Image databases; Image representation; Labeling; Layout; Object detection; Performance evaluation; Support vector machines; Visual databases; Vocabulary; bag-of-visual-words; co-occurence; image annotation; support vector machine (SVM); visual vocabulary; visual word pairs;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location
New York, NY
ISSN
1945-7871
Print_ISBN
978-1-4244-4290-4
Electronic_ISBN
1945-7871
Type
conf
DOI
10.1109/ICME.2009.5202526
Filename
5202526
Link To Document