skip to main content
10.1145/1734605.1734611acmconferencesArticle/Chapter ViewAbstractPublication PagesicimcsConference Proceedingsconference-collections
research-article

Scalable feature-based video retrieval for mobile devices

Published: 23 November 2009 Publication History

Abstract

We present a novel method for video retrieval on mobile devices. The target scenario is the following: features are extracted from a captured query video at the user side and transmitted to a remote server; then, video retrieval is applied within a stored database at the server side and relevant information about the query is returned to the user. In particular, we focus on the user side and propose a scalable method for video feature extraction and encoding taking into consideration the processing capabilities of the device and available bandwidth. Despite these constraints, the first results show a promising accuracy of retrieval.

References

[1]
S. Adali, K. S. Candan, K. S. C, S. shing Chen, K. Erol, and V. S. Subrahmanian. Advanced video information system: Data structures and query processing. Multimedia Systems, 4:172--186, 1996.
[2]
A. Y. Aslandogan and C. T. Yu. Techniques and systems for image and video retrieval. IEEE Trans. on Knowl. and Data Eng., 11(1):56--63, 1999.
[3]
V. Chandrasekhar, G. Takacs, D. Chen, S. S. Tsai, J. Singh, and B. Girod. Transform coding of image feature descriptors. In Visual Communications and Image Processing, San Jose, CA, USA, 2009.
[4]
H. S. Chang, S. Sull, and S. U. Lee. Efficient video indexing scheme for content-based retrieval. IEEE Transactions on Circuits and Systems for Video Technology, 9(8):1269--1279, 1999. Content-based retrievals;Key frame extractions;Key frame hierarchy;Systematic algorithms;.
[5]
C.-M. Chen, Y.-Z. Wang, H.-A. Wang, and C.-Y. Chiu. Digital video retrieval via mobile devices. In ESCIENCE '08: Proceedings of the 2008 Fourth IEEE International Conference on eScience, pages 376--377, Washington, DC, USA, 2008. IEEE Computer Society.
[6]
S. Dagtas, W. Al-Khatib, A. Ghafoor, and R. L. Kashyap. Models for motion-based video indexing and retrieval. IEEE Transactions on Image Processing, 9(1):88--101, 2000. Content based retrieval;Motion modeling;Video database;Video indexing;.
[7]
A. Hanjalic and L.-Q. Xu. Affective video content representation and modeling. IEEE Transactions on Multimedia, 7(1):143--154, 2005.
[8]
M. S. Lew, N. Sebe, C. Djeraba, and R. Jain. Content-based multimedia information retrieval: State of the art and challenges. ACM Trans. Multimedia Comput. Commun. Appl., 2(1):1--19, February 2006.
[9]
D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60:91--110, 2004.
[10]
M. Murphy. Content based image retrieval on mobile devices. In Talk presented at the 2008 GSRC Annual Symposium., September 2008.
[11]
M. Petkovic and W. Jonker. Integrated use of different content derivation techniques within a multimedia database management system. Journal of Visual Communication and Image Representation, 15(3):303--329, 2004. Multimedia Database Management Systems.
[12]
S. S. Tsai, D. Chen, J. P. Singh, and B. Girod. Rate-efficient, real-time cd cover recognition on a camera-phone. In ACM Multimedia, Vancouver, BC, Canada, 2008.
[13]
E. Wold, T. Blum, D. Keislar, and J. Wheaton. Content-based classification, search, and retrieval of audio. IEEE MultiMedia, 3(3):27--36, 1996.
[14]
H. Zhang, J. Wu, D. Zhong, and S. Smoliar. An integrated system for content-based video retrieval and browsing. Pattern Recognition, 30:643--658, 1997.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
ICIMCS '09: Proceedings of the First International Conference on Internet Multimedia Computing and Service
November 2009
263 pages
ISBN:9781605588407
DOI:10.1145/1734605
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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 November 2009

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. content-based video retrieval
  2. mobile search
  3. scale-invariant feature transform

Qualifiers

  • Research-article

Conference

ICIMCS '09
Sponsor:

Acceptance Rates

Overall Acceptance Rate 163 of 456 submissions, 36%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 65
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 15 Feb 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