Contextual information based visual saliency model

Seungchul Ryu, Bumsub Ham, Kwanghoon Sohn

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

2 Citations (Scopus)

Abstract

Automatic detection of visual saliency has been considered a very important task because of a wide range of applications such as object detection, image quality assessment, image segmentation, and more. Thanks to active researches in this field, many effective saliency models have been developed. Nevertheless, several challenging problems are still remain unsolved, such as detecting saliency in complex scene and providing high resolution and accurate saliency maps. In order to address such challenging problems, we propose a visual saliency model based on the concept of contextual information. First, we introduce a general framework for detecting saliency of an image using contextual information. Then, the proposed saliency model based on color and shape features is proposed. Quantitative and qualitative comparisons with seven state-of-the-art models on the public database show that the proposed model achieves excellent performance. Especially, the proposed model can provide good performance on challenging images including images with cluttered background and repeating distractors compared to the other models.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Pages201-205
Number of pages5
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: 2013 Sep 152013 Sep 18

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Other

Other2013 20th IEEE International Conference on Image Processing, ICIP 2013
CountryAustralia
CityMelbourne, VIC
Period13/9/1513/9/18

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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  • Cite this

    Ryu, S., Ham, B., & Sohn, K. (2013). Contextual information based visual saliency model. In 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (pp. 201-205). [6738042] (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings). https://doi.org/10.1109/ICIP.2013.6738042