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Real-time query-by-image video search system

Published: 03 November 2014 Publication History

Abstract

We demonstrate a novel multimedia system that continuously indexes videos and enables real-time search using images, with a broad range of potential applications. Television shows are recorded and indexed continuously, and iconic images from recent events are discovered automatically. Users can query an uploaded image or an image in the web. When a result is served, the user can play the video clip from the beginning or from the point in time where the retrieved image was found.

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References

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A. Araujo, M. Makar, V. Chandrasekhar, D. Chen, S. Tsai, H. Chen, R. Angst, and B. Girod. Efficient video search using image queries. In Proc. ICIP, 2014.
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H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool. SURF: Speeded Up Robust Features. CVIU, 110(3), 2008.
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D. Chen, S. Tsai, V. Chandrasekhar, G. Takacs, R. Vedantham, R. Grzeszczuk, and B. Girod. Residual Enhanced Visual Vector as a Compact Signature for Mobile Visual Search. Signal Processing, 93(8), 2013.
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N.-M. Cheung, D. Chen, V. Chandrasekhar, S. Tsai, G. Takacs, S. Halawa, and B. Girod. Restoration of Out-of-focus Lecture Video by Automatic Slide Matching. In Proc. ACM Multimedia, 2010.
[5]
M. Daneshi, P. Vajda, D. Chen, S. Tsai, M. Yu, A. Araujo, H. Chen, and B. Girod. EigenNews: Generating and Delivering Personalized News Videos. In Proc. IEEE BRUREC, 2013.
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P. Over, G. Awad, M. Michel, J. Fiscus, G. Sanders, W. Kraaij, A. F. Smeaton, and G. Quenot. TRECVID 2013 -- An Overview of the Goals, Tasks, Data, Evaluation Mechanisms and Metrics. In Proc. TRECVID, 2013.
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J. Sivic and A. Zisserman. Video Google: Efficient visual search of videos. Toward Category-Level Object Recognition, 4170, 2006.

Cited By

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  • (2015)Content based video retrieval on mobile devices: How much content is enough?2015 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP.2015.7351071(1603-1607)Online publication date: Sep-2015
  • (2015)Event video retrieval using global and local descriptors in visual domain2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI)10.1109/CBMI.2015.7153622(1-4)Online publication date: Jun-2015

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  1. Real-time query-by-image video search system

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    Published In

    cover image ACM Conferences
    MM '14: Proceedings of the 22nd ACM international conference on Multimedia
    November 2014
    1310 pages
    ISBN:9781450330633
    DOI:10.1145/2647868
    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.

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    New York, NY, United States

    Publication History

    Published: 03 November 2014

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    Author Tags

    1. query-by-image
    2. trending images
    3. video indexing
    4. video search

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    • Demonstration

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    MM '14
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    MM '14: 2014 ACM Multimedia Conference
    November 3 - 7, 2014
    Florida, Orlando, USA

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    MM '14 Paper Acceptance Rate 55 of 286 submissions, 19%;
    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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    View all
    • (2015)Content based video retrieval on mobile devices: How much content is enough?2015 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP.2015.7351071(1603-1607)Online publication date: Sep-2015
    • (2015)Event video retrieval using global and local descriptors in visual domain2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI)10.1109/CBMI.2015.7153622(1-4)Online publication date: Jun-2015

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