Contextual saliency

Jialue Fan*, Ying Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Matching local salient points is limited in some computer vision problems (e.g., wide baseline point matching and its applications), since local features vary dramatically under large view changes. In this paper, we propose a new definition on salient points which includes context information around the given point. The proposed contextual salient points are extracted based on the geometry structure of the manifold embedded in the image feature space. Experimental results show the benefit of contextual salient points over local salient points.

Original languageEnglish (US)
Title of host publication2011 IEEE Visual Communications and Image Processing, VCIP 2011
DOIs
StatePublished - Dec 1 2011
Event2011 IEEE Visual Communications and Image Processing, VCIP 2011 - Tainan, Taiwan, Province of China
Duration: Nov 6 2011Nov 9 2011

Publication series

Name2011 IEEE Visual Communications and Image Processing, VCIP 2011

Other

Other2011 IEEE Visual Communications and Image Processing, VCIP 2011
CountryTaiwan, Province of China
CityTainan
Period11/6/1111/9/11

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Fan, J., & Wu, Y. (2011). Contextual saliency. In 2011 IEEE Visual Communications and Image Processing, VCIP 2011 [6115928] (2011 IEEE Visual Communications and Image Processing, VCIP 2011). https://doi.org/10.1109/VCIP.2011.6115928