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MediaMill: semantic video search using the RotorBrowser

Published: 09 July 2007 Publication History

Abstract

In this technical demonstration we showcase the current version of the MediaMill system[1], a search engine that facilitates access to news video archives at a semantic level. The core of the system is a thesaurus of 500 automatically detected semantic concepts. To handle such a large thesaurus in retrieval, an engine is developed which automatically selects a set of relevant concepts based on a textual query, and an novel user interface which uses multi dimensional browsing to visualize the result set.

Reference

[1]
C. G. M. Snoek, M. Worring, D. C. Koelma, and A. W. M. Smeulders. A learned lexicon-driven paradigm for interactive video retrieval. IEEE Trans. Multimedia, 9(2):280--292, 2007.

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  • (2016)A Convenient Interface for Video Navigation on SmartphonesInternational Journal of Multimedia Data Engineering and Management10.4018/IJMDEM.20160701017:3(1-16)Online publication date: 1-Jul-2016
  • (2016)A Tablet Annotation Tool for Endoscopic VideosProceedings of the 24th ACM international conference on Multimedia10.1145/2964284.2973822(725-727)Online publication date: 1-Oct-2016
  • (2016)An Evaluation of Video Browsing on Tablets with the ThumbBrowserMultiMedia Modeling10.1007/978-3-319-51814-5_8(89-100)Online publication date: 31-Dec-2016
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    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]

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    New York, NY, United States

    Publication History

    Published: 09 July 2007

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    Author Tags

    1. information visualization
    2. video retrieval

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    Cited By

    View all
    • (2016)A Convenient Interface for Video Navigation on SmartphonesInternational Journal of Multimedia Data Engineering and Management10.4018/IJMDEM.20160701017:3(1-16)Online publication date: 1-Jul-2016
    • (2016)A Tablet Annotation Tool for Endoscopic VideosProceedings of the 24th ACM international conference on Multimedia10.1145/2964284.2973822(725-727)Online publication date: 1-Oct-2016
    • (2016)An Evaluation of Video Browsing on Tablets with the ThumbBrowserMultiMedia Modeling10.1007/978-3-319-51814-5_8(89-100)Online publication date: 31-Dec-2016
    • (2016)Interactive Search in VideoProceedings, Part I, of the 22nd International Conference on MultiMedia Modeling - Volume 951610.1007/978-3-319-27671-7_31(370-381)Online publication date: 4-Jan-2016
    • (2015)Scrubbing Wheel: An Interaction Concept to Improve Video Content Navigation on Devices with Touchscreens2015 IEEE International Symposium on Multimedia (ISM)10.1109/ISM.2015.20(351-356)Online publication date: Dec-2015
    • (2015)Improving Interactive Known-Item Search in Video with the Keyframe Navigation TreeMultiMedia Modeling10.1007/978-3-319-14445-0_27(306-317)Online publication date: 2015
    • (2014)3-D Interfaces to Improve the Performance of Visual Known-Item SearchIEEE Transactions on Multimedia10.1109/TMM.2014.233366616:7(1942-1951)Online publication date: Nov-2014
    • (2014)Video navigation on tablets with multi-touch gestures2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)10.1109/ICMEW.2014.6890560(1-6)Online publication date: Jul-2014
    • (2011)A user study of visual search performance with interactive 2d and 3d storyboardsProceedings of the 9th international conference on Adaptive Multimedia Retrieval: large-scale multimedia retrieval and evaluation10.1007/978-3-642-37425-8_2(18-32)Online publication date: 18-Jul-2011
    • (2009)Color Features Performance Comparison for Image RetrievalProceedings of the 15th International Conference on Image Analysis and Processing10.1007/978-3-642-04146-4_96(902-910)Online publication date: 29-Aug-2009
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