NDLI: Learning visual saliency using topographic independent component analysis

Content Provider	IEEE Xplore Digital Library
Author	Stefic, Daria Patras, Ioannis
Copyright Year	2014
Description	Author affiliation: School of Electronic Engineering and Computer Science Queen Mary, University of London, Mile End Road, London E1 4NS, United Kingdom (Stefic, Daria; Patras, Ioannis)
Abstract	Understanding the underlying mechanisms that drive human visual attention is a topic of immense interest. Most of the work is focused on extracting manually selected features that might resemble the human visual processing pathway and using a combination of those features to train a classifier that learns to predict where humans look. In contrast, we will learn the features using a generalization of Independent Component Analysis (ICA), namely the topographic Independent Component Analysis (tICA). We will show that those learned features in combination with linear SVM outperform the hand-crafted ones. In addition, we propose a novel optimization scheme, which jointly optimizes for linear SVM and tICA pooling weights and show that it further improves the results.
Starting Page	1130
Ending Page	1134
File Size	660040
Page Count	5
File Format	PDF
ISBN	9781479957514
DOI	10.1109/ICIP.2014.7025225
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Feature extraction Visualization Vectors Face Training Optimization supervised pooling bottom-up saliency independent component analysis topography
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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