[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1007/978-3-319-04114-8_21guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Tell Me about TV Commercials of This Product

Published: 06 January 2014 Publication History

Abstract

TV commercial archives, once recorded the fashion and technology of our society, contain large amount of information deserved for deep analysis, for instance, discovery of hot products, exploration of the relationship between the air times and market sales of a product, analysis and prediction of the market trends, and so on. Levering a new text-to-features transformation and integrating many state-of-the-art video search techniques, we have built an interactive system on top of video retrieval in a large collection of three-year five-channel TV commercial videos. To the best of our knowledge, this is the largest commercial data set used for retrieval so far. To interact with the system, users can either use a keyboard to type keywords or use their mobile devices to snap a picture to describe their interested products, and the system will return relevant commercials in real time. Users are further able to browse videos and access their air patterns, such as air time and air frequency. This pattern usually reflects social behavior of viewers, i.e. which social groups (young or adult, male or female) are the targets of the product, when is the peak time for viewers to watch this commercial category according to the air pattern.

References

[1]
Arandjelović, R., Zisserman, A.: Three things everyone should know to improve object retrieval. In: CVPR (2012)
[2]
Carbonell, J., Yang, Y., Frederking, R., Brown, R., Geng, Y., Lee, D.: Translingual information retrieval. In: IJCAI (1997)
[3]
Chum, O., Matas, J., Kittler, J.: Locally optimized RANSAC. In: Michaelis, B., Krell, G. (eds.) DAGM 2003. LNCS, vol.ä2781, pp. 236—243. Springer, Heidelberg (2003)
[4]
Colombo, C., Bimbo, A.D., Pala, P.: Retrieval of commercials by semantic content: The semiotic perspective. Multimedia Tools Appl.ä13(1), 93—118 (2001)
[5]
Henze, N., Boll, S.: Snap and share your photobooks. In: ACM Multimedia (2008)
[6]
Lowe, D.: Distinctive image features from scale-invariant key points. IJCVä60, 91—110 (2004)
[7]
Paul, O., Awad, G., Michel, M., Fiscus, J., Kraaij, W., Smeaton, A.F., Quéenot, G.: Trecvid 2011 - an overview of the goals, tasks, data, evaluation mechanisms and metrics. In: TRECVID (2011)
[8]
Philbin, J., Chum, O., Isard, M., Sivic, J., Zisserman, A.: Object retrieval with large vocabularies and fast spatial matching. In: CVPR (2007)
[9]
Sivic, J., Zisserman, A.: Video google: A text retrieval approach to object matching in videos. In: ICCV (2003)
[10]
Wu, X., Satoh, S.: Ultrahigh-speed tv commercial detection, extraction, and matching. IEEE Trans. Circuits Syst. Video Tech.ä23(6), 1054—1069 (2013)
[11]
Yan, R., Hauptmann, A., Jin, R.: Multimedia search with pseudo-relevance feedback. In: Bakker, E.M., Lew, M., Huang, T.S., Sebe, N., Zhou, X.S. (eds.) CIVR 2003. LNCS, vol.ä2728, Springer, Heidelberg (2003)
[12]
Zhu, C.-Z., Mei, T., Hua, X.-S.: Natural video browsing. In: ACM Multimedia (2005)
[13]
Zhu, C.-Z., Satoh, S.: Large vocabulary quantization for searching instances from videos. In: ICMR (2012)

Cited By

View all
  • (2015)PVSSProceedings of the 7th International Conference on Internet Multimedia Computing and Service10.1145/2808492.2808556(1-5)Online publication date: 19-Aug-2015
  1. Tell Me about TV Commercials of This Product

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image Guide Proceedings
    MMM 2014: Proceedings of the 20th Anniversary International Conference on MultiMedia Modeling - Volume 8325
    January 2014
    604 pages
    ISBN:9783319041131
    • Editors:
    • Cathal Gurrin,
    • Frank Hopfgartner,
    • Wolfgang Hurst,
    • Håvard Johansen,
    • Hyowon Lee,
    • Noel O'Connor

    Publisher

    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 06 January 2014

    Author Tags

    1. Pattern Visualization
    2. TV Commercials
    3. Text-to-features
    4. Text-to-image
    5. Video Browsing
    6. Video Retrieval

    Qualifiers

    • Article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 26 Jan 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2015)PVSSProceedings of the 7th International Conference on Internet Multimedia Computing and Service10.1145/2808492.2808556(1-5)Online publication date: 19-Aug-2015

    View Options

    View options

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media