NDLI: A visual attention model for news video

Content Provider	IEEE Xplore Digital Library
Author	Bo Wu Linfeng Xu Guanghui Liu
Copyright Year	2013
Description	Author affiliation: Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China (Bo Wu; Linfeng Xu; Guanghui Liu)
Abstract	In this paper, a novel method is proposed to perform saliency detection in news video. This method comprises bottom-up attention model which considers low level features to produce bottom-up saliency map and top-down attention model which utilizes high level factors to generate top-down saliency map. In bottom-up attention model, color image is represented as quaternion. Then the quaternion discrete cosine transform is used to detect static saliency in multi-scale and two color spaces. Meanwhile, the multi-scale local and global motion conspicuity maps are computed. To suppress the background motion noise, a novel histogram of average optical flow is proposed to calculate motion contrast. Then, the static saliency map and motion saliency map are fused after normalization. In top-down attention model, we explore high level factors of news video and generate the top-down saliency map based on these factors. Finally, the bottom-up and top-down saliency maps are integrated after normalization. Experiment results show that our method outperforms several state-of-the-art methods in saliency detection of news videos.
Starting Page	941
Ending Page	944
File Size	207625
Page Count	4
File Format	PDF
ISBN	9781467357609
ISSN	02714302
e-ISBN	9781467357623
DOI	10.1109/ISCAS.2013.6572003
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Quaternions Visualization Image color analysis Mouth Color Streaming media
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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