Fusing warping, cropping, and scaling for optimal image thumbnail generation

Qu, Z; Wang, J; Xu, M; Lu, H

Fusing warping, cropping, and scaling for optimal image thumbnail generation

Qu, Z Wang, J Xu, M

Lu, H

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013, 7727 LNCS (PART 4), pp. 445 - 456
Issue Date:: 2013-04-11

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Field	Value	Language
dc.contributor.author	Qu, Z	en_US
dc.contributor.author	Wang, J	en_US
dc.contributor.author	Xu, M https://orcid.org/0000-0001-9581-8849	en_US
dc.contributor.author	Lu, H	en_US
dc.date.issued	2013-04-11	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013, 7727 LNCS (PART 4), pp. 445 - 456	en_US
dc.identifier.isbn	9783642374463	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122999
dc.description.abstract	Image retargeting, as a content aware technique, is regarded as a logical tool for generating image thumbnails. However, the enormous difference between the size of source and target usually hinders single retargeting method from obtaining satisfactory results. In this paper, an unified framework is proposed to fuse three popular retargeting strategies, i.e. warping, cropping, and scaling, for thumbnail generation. Complementing each other, three retargeting strategies work together efficiently. Firstly, cropping selectively discards the unimportant regions in order to free up more space for displaying important content aesthetically. Next, warping helps to incorporate as much as possible visual information into thumbnails by rearranging important content more compactly through non-uniform deformation. Finally, scaling retrains the important content at an optimal size rather than undergoing an improper shrinkage. In our solution, warping, cropping and scaling are encoded as three energy terms of the objective function respectively, which can be solved efficiently by numerical optimization. Both qualitative and quantitative comparison results demonstrate that the proposed method achieves an excellent trade-off among smoothness, completeness and distinguishableness in thumbnail generation. Through these results, our method shows obvious superiority over state-of-the-art techniques. © 2013 Springer-Verlag.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-642-37447-0_34	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Fusing warping, cropping, and scaling for optimal image thumbnail generation	en_US
dc.type	Conference Proceeding
utslib.citation.volume	PART 4	en_US
utslib.citation.volume	7727 LNCS	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Daejeon
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 - 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.issue	PART 4	en_US
pubs.publication-status	Published	en_US
pubs.volume	7727 LNCS	en_US

Abstract:

Image retargeting, as a content aware technique, is regarded as a logical tool for generating image thumbnails. However, the enormous difference between the size of source and target usually hinders single retargeting method from obtaining satisfactory results. In this paper, an unified framework is proposed to fuse three popular retargeting strategies, i.e. warping, cropping, and scaling, for thumbnail generation. Complementing each other, three retargeting strategies work together efficiently. Firstly, cropping selectively discards the unimportant regions in order to free up more space for displaying important content aesthetically. Next, warping helps to incorporate as much as possible visual information into thumbnails by rearranging important content more compactly through non-uniform deformation. Finally, scaling retrains the important content at an optimal size rather than undergoing an improper shrinkage. In our solution, warping, cropping and scaling are encoded as three energy terms of the objective function respectively, which can be solved efficiently by numerical optimization. Both qualitative and quantitative comparison results demonstrate that the proposed method achieves an excellent trade-off among smoothness, completeness and distinguishableness in thumbnail generation. Through these results, our method shows obvious superiority over state-of-the-art techniques. © 2013 Springer-Verlag.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/31736