DocumentCode
3495305
Title
On the role of context in probabilistic models of visual saliency
Author
Bruce, Neil D B ; Kornprobst, Pierre
Author_Institution
INRIA, Sophia Antipolis, France
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
3089
Lastpage
3092
Abstract
In recent years, many principled probabilistic definitions for the determination of visual saliency have been proposed. Moreover, there has been increased focus on the role of context in the determination of visual salience. Prior efforts have shed some light on how context may help in predicting the location of, or presence of features associated with an object in the context of detection or recognition. Nevertheless, there remains a variety of manners in which context may be exploited towards providing better judgements of salient content. In this light, we investigate the role of context in the probabilistic determination of salience while presenting a number of potential avenues for future research.
Keywords
feature extraction; probability; feature detection; feature recognition; probabilistic models; visual saliency; Animals; Context modeling; Filters; Independent component analysis; Layout; Object detection; Proposals; Roads; Statistics; Streaming media; attention; context; image statistics; saliency;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5414483
Filename
5414483
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