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MediaMill: exploring news video archives based on learned semantics

Published: 06 November 2005 Publication History

Abstract

In this technical demonstration we showcase the MediaMill system. A search engine that facilitates access to news video archives at a semantic level. The core of the system is an unprecedented lexicon of 100 automatically detected semantic concepts. Based on this lexicon we demonstrate how users can obtain highly relevant retrieval results using query-by-concept. In addition, we show how the lexicon of concepts can be exploited for novel applications using advanced semantic visualizations. Several aspects of the MediaMill system are evaluated as part of our TRECVID 2005 efforts.

References

[1]
Blinkx Video Search, August 2005. http://www.blinkx.tv/.
[2]
J. M. Geusebroek and A. W. M. Smeulders. A six-stimulus theory for stochastic texture. Int. J. Comput. Vision, 62(1/2):7--16, 2005.
[3]
Google Video Search, August 2005. http://video.google.com/.
[4]
G. Nguyen and M. Worring. Similarity based visualization of image collections. In Int'l Worksh. on Audio-Visual Content and Information Visualization in Digital Libraries, 2005.
[5]
A. Smeaton. Large scale evaluations of multimedia information retrieval: The TRECVid experience. In CIVR, volume 3569 of LNCS, pages 19--27. Springer-Verlag, 2005.
[6]
C. Snoek. The Authoring Metaphor to Machine Understanding of Multimedia. PhD thesis, Universiteit van Amsterdam, October 2005.

Cited By

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  • (2018)Exploring Temporal Communities in Mass Media ArchivesProceedings of the 26th ACM international conference on Multimedia10.1145/3240508.3241392(1247-1249)Online publication date: 15-Oct-2018
  • (2017)VideoAnalysis4ALLProceedings of the 2017 ACM on International Conference on Multimedia Retrieval10.1145/3078971.3079015(470-474)Online publication date: 6-Jun-2017
  • (2014)An ontology-based evidential framework for video indexing using high-level multimodal fusionMultimedia Tools and Applications10.1007/s11042-011-0936-573:2(663-689)Online publication date: 1-Nov-2014
  • Show More Cited By

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  1. MediaMill: exploring news video archives based on learned semantics

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    cover image ACM Conferences
    MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia
    November 2005
    1110 pages
    ISBN:1595930442
    DOI:10.1145/1101149
    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]

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    New York, NY, United States

    Publication History

    Published: 06 November 2005

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    Author Tags

    1. information visualization
    2. semantic indexing
    3. video retrieval

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    MM05

    Acceptance Rates

    MULTIMEDIA '05 Paper Acceptance Rate 49 of 312 submissions, 16%;
    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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    Cited By

    View all
    • (2018)Exploring Temporal Communities in Mass Media ArchivesProceedings of the 26th ACM international conference on Multimedia10.1145/3240508.3241392(1247-1249)Online publication date: 15-Oct-2018
    • (2017)VideoAnalysis4ALLProceedings of the 2017 ACM on International Conference on Multimedia Retrieval10.1145/3078971.3079015(470-474)Online publication date: 6-Jun-2017
    • (2014)An ontology-based evidential framework for video indexing using high-level multimodal fusionMultimedia Tools and Applications10.1007/s11042-011-0936-573:2(663-689)Online publication date: 1-Nov-2014
    • (2014)A Selective Weighted Late Fusion for Visual Concept RecognitionFusion in Computer Vision10.1007/978-3-319-05696-8_1(1-28)Online publication date: 26-Mar-2014
    • (2013)Transformation of an Uncertain Video Search Pipeline to a Sketch-Based Visual Analytics LoopIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2013.20719:12(2109-2118)Online publication date: 1-Dec-2013
    • (2013)Multimodal recognition of visual concepts using histograms of textual concepts and selective weighted late fusion schemeComputer Vision and Image Understanding10.1016/j.cviu.2012.10.009117:5(493-512)Online publication date: 1-May-2013
    • (2012)Resource optimization in distributed real-time multimedia applicationsMultimedia Tools and Applications10.1007/s11042-011-0782-559:3(941-971)Online publication date: 1-Aug-2012
    • (2012)A selective weighted late fusion for visual concept recognitionProceedings of the 12th international conference on Computer Vision - Volume Part III10.1007/978-3-642-33885-4_43(426-435)Online publication date: 7-Oct-2012
    • (2011)Towards hierarchical contextMultimedia Tools and Applications10.1007/s11042-010-0605-055:1(151-178)Online publication date: 1-Oct-2011
    • (2011)BROAFERENCE: A Prototype of an Emotion-based TV Quality Rating SystemEmotional Engineering10.1007/978-1-84996-423-4_12(223-245)Online publication date: 2011
    • Show More Cited By

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