Article

Automatic scaling and cropping of videos for devices with limited screen resolution

Authors:

Stephan Kopf,

Fleming Lampi,

Thomas King,

Wolfgang EffelsbergAuthors Info & Claims

MM '06: Proceedings of the 14th ACM international conference on Multimedia

Pages 957 - 958

https://doi.org/10.1145/1180639.1180849

Published: 23 October 2006 Publication History

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Abstract

A large number of previously recorded videos cannot be directly visualized on mobile devices like PDAs or mobile phones due to an inappropriate screen resolution of their displays. Transcoding can be used to change the resolution, however, the usual transcoding algorithms have problems preserving the semantic content. For instance, superimposed text is unreadable if the character size drops below a certain value. In this paper, we present a novel adaptation algorithm to scale and crop videos while preserving their semantic content. Semantic features in a shot are combined to select a suitable region to be resented in the adapted video.

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References

[1]

L.-Q. Chen, X. Xie, X. Fan, W.-Y. Ma, H.-J. Zhang, and H.-Q. Zhou. A visual attention model for adapting images on small displays. In ACM Multimedia Systems Journal volume 9(4), pages 353--364. ACM Press, 2003.

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[2]

D. Farin, T. Haenselmann, S. Kopf, G. Kühne, and W. Effelsberg. Segmentation and classification of moving video objects. In B. Furht and O. Marques, editors, Handbook of Video Databases volume 8, pages 561--591. CRC Press, Boca Raton, FL, USA, 2003.

Google Scholar

[3]

X.-S. HUA, L. LU, and H.-J. ZHANG. Photo2video. In ACM International Conference on Multimedia pages 592--593. ACM Press, 2003.

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[4]

J.-G. Kim, Y. Wang, and S.-F. Chang. Content-adaptive utility-based video adaptation. In IEEE International Conference on Multimedia and Expo pages 281--284, 2003.

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[5]

Movie Content Analysis Homepage (MoCA),Department of Computer Science IV, University of Mannheim, http://www.informatik.uni-mannheim.de/pi4/projects/moca/Project-ResolutionAdaptation.html, last checked: July 2006.

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Cited By

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Yang MSun Y(2022)An Intelligent Video Editing Automate Framework using AI and Computer VisionArtificial Intelligence and Applications10.5121/csit.2022.121807(69-79)Online publication date: 29-Oct-2022
https://doi.org/10.5121/csit.2022.121807
Tang ZLv CTang Y(2022)Adaptive cropping with interframe relative displacement constraint for video retargetingSignal Processing: Image Communication10.1016/j.image.2022.116666104(116666)Online publication date: May-2022
https://doi.org/10.1016/j.image.2022.116666
Kiess JKopf SGuthier BEffelsberg W(2018)A Survey on Content-Aware Image and Video RetargetingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/323159814:3(1-28)Online publication date: 24-Jul-2018
https://dl.acm.org/doi/10.1145/3231598
Show More Cited By

Index Terms

Automatic scaling and cropping of videos for devices with limited screen resolution
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Scene understanding
  2. Computer graphics
    1. Image manipulation

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Information & Contributors

Information

Published In

MM '06: Proceedings of the 14th ACM international conference on Multimedia

October 2006

1072 pages

ISBN:1595934472

DOI:10.1145/1180639

General Chairs:
Klara Nahrstedt
UIUC
,
Matthew Turk
UCSB
,
Program Chairs:
Yong Rui
Microsoft Research
,
Wolfgang Klas
Universität Wien
,
Ketan Mayer-Patel
UNC

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2006

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MM06

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MM06: The 14th ACM International Conference on Multimedia 2006

October 23 - 27, 2006

CA, Santa Barbara, USA

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

View all

Yang MSun Y(2022)An Intelligent Video Editing Automate Framework using AI and Computer VisionArtificial Intelligence and Applications10.5121/csit.2022.121807(69-79)Online publication date: 29-Oct-2022
https://doi.org/10.5121/csit.2022.121807
Tang ZLv CTang Y(2022)Adaptive cropping with interframe relative displacement constraint for video retargetingSignal Processing: Image Communication10.1016/j.image.2022.116666104(116666)Online publication date: May-2022
https://doi.org/10.1016/j.image.2022.116666
Kiess JKopf SGuthier BEffelsberg W(2018)A Survey on Content-Aware Image and Video RetargetingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/323159814:3(1-28)Online publication date: 24-Jul-2018
https://dl.acm.org/doi/10.1145/3231598
Khoenkaw PPiamsa-Nga P(2015)Automatic pan-and-scan algorithm for heterogeneous displaysMultimedia Tools and Applications10.1007/s11042-014-2308-474:24(11837-11865)Online publication date: 1-Dec-2015
https://dl.acm.org/doi/10.1007/s11042-014-2308-4
Dittrich TKopf SSchaber PGuthier BEffelsberg WGriwodz C(2013)Saliency detection for stereoscopic videoProceedings of the 4th ACM Multimedia Systems Conference10.1145/2483977.2483979(12-23)Online publication date: 28-Feb-2013
https://dl.acm.org/doi/10.1145/2483977.2483979
Niu YLiu FFeng WJin H(2012)Aesthetics-Based Stereoscopic Photo Cropping for Heterogeneous DisplaysIEEE Transactions on Multimedia10.1109/TMM.2012.218612214:3(783-796)Online publication date: 1-Jun-2012
https://dl.acm.org/doi/10.1109/TMM.2012.2186122
Kopf SGuthier BFarin DHan J(2011)Analysis and retargeting of ball sports videoProceedings of the 2011 IEEE Workshop on Applications of Computer Vision (WACV)10.1109/WACV.2011.5711477(9-14)Online publication date: 5-Jan-2011
https://dl.acm.org/doi/10.1109/WACV.2011.5711477
Kopf SHaenselmann TKiess JGuthier BEffelsberg W(2011)Algorithms for video retargetingMultimedia Tools and Applications10.1007/s11042-010-0717-651:2(819-861)Online publication date: 1-Jan-2011
https://dl.acm.org/doi/10.1007/s11042-010-0717-6
Nam HByun KJeong JChoi KKo S(2010)Low complexity content-aware video retargeting for mobile devicesIEEE Transactions on Consumer Electronics10.1109/TCE.2010.543914356:1(182-189)Online publication date: 1-Feb-2010
https://dl.acm.org/doi/10.1109/TCE.2010.5439143
Kopf SKiess JLemelson HEffelsberg WGao WRui YHanjalic AXu CSteinbach EEl Saddik AZhou M(2009)FSCAVProceedings of the 17th ACM international conference on Multimedia10.1145/1631272.1631317(321-330)Online publication date: 23-Oct-2009
https://dl.acm.org/doi/10.1145/1631272.1631317
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