Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2502081.2502250acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
demonstration

A tool for catching back your preferred videos from physical collages

Published: 21 October 2013 Publication History

Abstract

Images and videos are easy to create by inexperienced users with intuitive devices like smartphones. We propose a system which enables users to extract panoramas from videos for the creation of collages which can be printed. Single frames used for panoramas are indexed on the basis of SURF features. As a result users can make a photo with the smartphone from a panorama within the printed collage or zoom into the digital version of a collage to select an area of interest and retrieve the related video using the SURF features index. Moreover users can pick a photo from a location where a video was previously recorded and retrieve a related video as well. Our approach supports the maintenance of a large number of videos.

References

[1]
S. A. Chatzichristofis and Y. S. Boutalis. Cedd: color and edge directivity descriptor: a compact descriptor for image indexing and retrieval. In Proceedings of the 6th international conference on Computer vision systems, ICVS'08, pages 312--322, Berlin, Heidelberg, 2008. Springer-Verlag.
[2]
T. Kinnunen, J.-K. Kamarainen, L. Lensu, and H. Kalviainen. Bag-of-features codebook generation by self-organisation. In Advances in Self-Organizing Maps, pages 124--132. Springer, 2009.
[3]
F. Liu, Y.-h. Hu, and M. L. Gleicher. Discovering panoramas in web videos. In Proceedings of the 16th ACM international conference on Multimedia, pages 329--338. ACM, 2008.
[4]
X. Liu, T. Mei, X.-S. Hua, B. Yang, and H.-Q. Zhou. Video collage. In Proceedings of the 15th international conference on Multimedia, pages 461--462. ACM, 2007.
[5]
M. Muja and D. G. Lowe. Fast approximate nearest neighbors with automatic algorithm configuration. In International Conference on Computer Vision Theory and Applications (VISSAPP'09), pages 331--340, 2009.
[6]
Y. Zhang, Z. Zhaoxing, and X. Han. Category specific sift descriptor and its combination with color information for content-based image retrieval. In Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, pages 685--690. ACM, 2009.
[7]
C.-Z. Zhu, X.-S. Hua, T. Mei, and X.-Q. Wu. Video booklet: a natural video searching and browsing interface. In Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval, pages 113--120. ACM, 2005.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
MM '13: Proceedings of the 21st ACM international conference on Multimedia
October 2013
1166 pages
ISBN:9781450324045
DOI:10.1145/2502081
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 October 2013

Check for updates

Author Tags

  1. descriptor matching
  2. photo collage
  3. video analysis

Qualifiers

  • Demonstration

Conference

MM '13
Sponsor:
MM '13: ACM Multimedia Conference
October 21 - 25, 2013
Barcelona, Spain

Acceptance Rates

MM '13 Paper Acceptance Rate 47 of 235 submissions, 20%;
Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 129
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 27 Jan 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media