skip to main content
10.1145/1282280.1282334acmconferencesArticle/Chapter ViewAbstractPublication PagescivrConference Proceedingsconference-collections
Article

Z-grid-based probabilistic retrieval for scaling up content-based copy detection

Published: 09 July 2007 Publication History

Abstract

Scalability is the key issue in making content-based copy de-tection (CBCD) methods practical for very large image and video databases. Since copies are transformed versions of original documents, CBCD involves some form of retrieval by similarity using as queries the descriptions of potential copies. To enhance the scalability of an existing competitive CBCD method, we introduce here three improvements of this retrieval process: a Z-grid for building the index, uniformity-based sorting and adapted partitioning of the components. Retrieval speed is significantly increased, enabling us to monitor with a single computer one TV channel against a database of 120,000 hours of video.

References

[1]
S.-A. Berrani, L. Amsaleg, and P. Gros. Robust content-based image searches for copyright protection. In MMDB'03: Proceedings of the 1st ACM international workshop on Multimedia databases, pages 70--77, New York, NY, USA, 2003. ACM Press.
[2]
N. Boujemaa, J. Fauqueur, and V. Gouet. What's beyond query by example? In R. V. L. Shapiro, H. P. Kriegel, editor, Trends and Advances in Content-Based Image and Video Retrieval. Springer Verlag, 2004.
[3]
E. Chang, J. Wang, C. Li, and G. Wilderhold. Rime - a replicated image detector for the world-wide web. In Proceedings of SPIE Symposium of Voice, Video and Data Communications, pages 58--67, November 1998.
[4]
T. Gevers and A. W. M. Smeulders. Content-based image retrieval: An overview. In G. Medioni and S. B. Kang, editors, Emerging Topics in Computer Vision, chapter 8. Prentice Hall, 2004.
[5]
A. Hampapur, K. Hyun, and R. M. Bolle. Comparison of sequence matching techniques for video copy detection. In M. M. Yeung, C.-S. Li, and R. W. Lienhart, editors, Proc. Conf. on Storage and Retrieval for Media Databases, pages 194--201, December 2002.
[6]
A. Henrich. The LSDh-tree: An access structure for feature vectors. In ICDE'98: Proceedings of the Fourteenth International Conference on Data Engineering, pages 362--369, Washington, DC, USA, 1998. IEEE Computer Society.
[7]
A. Joly and O. Buisson. Discriminant local features selection using efficient density estimation in a large database. In MIR'05: Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval, pages 201--208, New York, NY, USA, 2005. ACM Press.
[8]
A. Joly, O. Buisson, and C. Frélicot. Content-based copy detection using distortion-based probabilistic similarity search. IEEE Transactions on Multimedia, page to appear, 2007.
[9]
A. Joly, C. Frélicot, and O. Buisson. Robust content-based video copy identification in a large reference database. In Intl. Conf. on Image and Video Retrieval (CIVR'03), pages 414--424, 2003.
[10]
Y. Ke, R. Sukthankar, and L. Huston. An efficient parts-based near-duplicate and sub-image retrieval system. In Proceedings of the ACM international conference on Multimedia, pages 869--876, 2004.
[11]
J. Law-To, O. Buisson, V. Gouet-Brunet, and N. Boujemaa. Robust voting algorithm based on labels of behavior for video copy detection. In MULTIMEDIA'06: Proceedings of the 14th annual ACM international conference on Multimedia, pages 835--844, New York, NY, USA, 2006. ACM Press.
[12]
E. Lin, A. Eskicioglu, R. Lagendijk, and E. Delp. Advances in digital video content protection. Proceedings of the IEEE, 93(1):171--183, January 2005.
[13]
H. Samet. Foundations of Multidimensional and Metric Data Structures. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2006.
[14]
F. Schaffalitzky and A. Zisserman. Multi-view matching for unordered image sets, or "how do i organize my holiday snaps?". In ECCV'02: Proceedings of the 7th European Conference on Computer Vision-Part I, pages 414--431, London, UK, 2002. Springer-Verlag.
[15]
C. Schmid and R. Mohr. Local grayvalue invariants for image retrieval. IEEE Trans. Pattern Anal. Mach. Intell., 19(5):530--535, 1997.

Cited By

View all

Index Terms

  1. Z-grid-based probabilistic retrieval for scaling up content-based copy detection

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval
    July 2007
    655 pages
    ISBN:9781595937339
    DOI:10.1145/1282280
    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

    In-Cooperation

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 09 July 2007

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. content-based video copy detection
    2. multidimensional index structures
    3. scalability

    Qualifiers

    • Article

    Conference

    CIVR07
    Sponsor:

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 02 Mar 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2019)Structural representation-based off-line Tamil handwritten character recognitionSoft Computing10.1007/s00500-019-03978-5Online publication date: 22-Apr-2019
    • (2017)DLSHProceedings of the 2017 Symposium on Cloud Computing10.1145/3127479.3127485(242-255)Online publication date: 24-Sep-2017
    • (2017)Hashing TechniquesACM Computing Surveys10.1145/304730750:1(1-36)Online publication date: 4-Apr-2017
    • (2017)Caught Red-Handed: Toward Practical Video-Based Subsequences Matching in the Presence of Real-World Transformations2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW.2017.182(1397-1406)Online publication date: Jul-2017
    • (2016)Partial least squares for face hashingNeurocomputing10.1016/j.neucom.2016.02.083213(34-47)Online publication date: Nov-2016
    • (2015)Video Copy Detection Based on Path Merging and Query Content PredictionIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2015.239577125:10(1682-1695)Online publication date: Oct-2015
    • (2014)Efficient binary code indexing with pivot based locality sensitive clusteringMultimedia Tools and Applications10.1007/s11042-012-1354-z69:2(491-512)Online publication date: 1-Mar-2014
    • (2013)MSIDXIEEE Transactions on Multimedia10.1109/TMM.2013.224798915:6(1415-1430)Online publication date: 1-Oct-2013
    • (2013)Fast repetition detection in TV streams using duration patterns2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI)10.1109/CBMI.2013.6576567(121-126)Online publication date: Jun-2013
    • (2013)Learning Affine Robust Binary Codes Based on Locality Preserving HashAdvances in Multimedia Modeling10.1007/978-3-642-35725-1_24(261-271)Online publication date: 2013
    • Show More Cited By

    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