A comprehensive approach to automatic image browsing for small display devices

Hasan, MA; Xu, M; He, X

A comprehensive approach to automatic image browsing for small display devices

Hasan, MA Xu, M

He, X

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Publication Type:: Conference Proceeding
Citation:: 2013, 9781461435013 pp. 267 - 276
Issue Date:: 2013-10-01

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Field	Value	Language
dc.contributor.author	Hasan, MA	en_US
dc.contributor.author	Xu, M https://orcid.org/0000-0001-9581-8849	en_US
dc.contributor.author	He, X https://orcid.org/0000-0001-8962-540X	en_US
dc.date.issued	2013-10-01	en_US
dc.identifier.citation	2013, 9781461435013 pp. 267 - 276	en_US
dc.identifier.isbn	1461435005	en_US
dc.identifier.isbn	9781461435006	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31520
dc.description.abstract	© 2013 Springer Science+Business Media, LLC. All rights reserved. Recently, small displays are widely used to browse digital images. While using a small display device, the content of the image appears very small. Users have to use manual zooming and panning in order to see the detail of the image on a small display. Hence, an automatic image browsing solution is desired for user convenience. In this chapter, a novel comprehensive and efficient system is proposed to browse high resolution images using small display devices by automatically panning and zooming on Region-of-Interests (ROIs). The challenge is to provide a better user experience on heterogeneous small display sizes. First of all, an input image is classified into one of the three different classes: close-up, landscape and other. Then the ROIs of image are extracted. Finally, ROIs are browsed based on different intuitive and study based strategies. Our proposed system is evaluated by subjective test. Experimental results indicate that the proposed system is an effective large image displaying technique on small display devices.	en_US
dc.relation.isbasedon	10.1007/978-1-4614-3501-3_22	en_US
dc.title	A comprehensive approach to automatic image browsing for small display devices	en_US
dc.type	Conference Proceeding
utslib.citation.volume	9781461435013	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Sydney, Australia
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	9781461435013	en_US

Abstract:

© 2013 Springer Science+Business Media, LLC. All rights reserved. Recently, small displays are widely used to browse digital images. While using a small display device, the content of the image appears very small. Users have to use manual zooming and panning in order to see the detail of the image on a small display. Hence, an automatic image browsing solution is desired for user convenience. In this chapter, a novel comprehensive and efficient system is proposed to browse high resolution images using small display devices by automatically panning and zooming on Region-of-Interests (ROIs). The challenge is to provide a better user experience on heterogeneous small display sizes. First of all, an input image is classified into one of the three different classes: close-up, landscape and other. Then the ROIs of image are extracted. Finally, ROIs are browsed based on different intuitive and study based strategies. Our proposed system is evaluated by subjective test. Experimental results indicate that the proposed system is an effective large image displaying technique on small display devices.

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http://hdl.handle.net/10453/31520