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Content-based video retrieval: does video's semantic visual feature matter?

Published: 06 August 2006 Publication History

Abstract

A new shot level video browsing method based on semantic visual features (e.g., car, mountain, and fire) is proposed to facilitate content-based retrieval. The video's binary semantic feature vector is utilized to calculate the score of similarity between two shot keyframes. The score is then used to browse the "similar" keyframes in terms of semantic visual features. A pilot user study was conducted to better understand users' behaviors in video retrieval context. Three video retrieval and browsing systems are compared: temporal neighbor, semantic visual feature, and fused browsing system. The initial results indicated that the semantic visual feature browsing was effective and efficient for Visual Centric tasks, but not for Non-visual Centric tasks.

References

[1]
Chang,S.-F., Hsu, W., Kennedy, L., Xie, L., Yanagawa, A., Zavesky, E., and Zhang, D.-Q., 2005, Columbia University TRECVID-2005 Video Search and High-Level Feature Extraction, in Proceedings of TRECVID2005
[2]
Heesch, D., Howarth, P., Magalhaes, J., May, A., Pickering, M., Yavlinsky, A., and ruger, S. (2004). Video retrieval using search and browsing. In proceedings of TRECVID2004.
[3]
Mezaris, Y., Doulaverakis, H., Herrmann, S., Lehane, B., O'Connor, N., Kompatsiaris, I., and Strintzis, G. M. (2004). Combining textual and visual information processing for interactive video retrieval: SCHEMA's participation to TRECVID2004. In proceedings of TRECVID2004 program.
[4]
Naphade, R. M., Kennedy, L., Kender, R. J., chang, S., Smith, R. J., Over, P., and Hauptmann, A. (2005). Alight scale concept ontology for multimedia understanding for TRECVID 2005.

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  • (2022)Explainable Multimedia Feature Fusion for Medical ApplicationsJournal of Imaging10.3390/jimaging80401048:4(104)Online publication date: 8-Apr-2022
  • (2022)Learn from Unlabeled Videos for Near-duplicate Video RetrievalProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3532010(1002-1011)Online publication date: 6-Jul-2022
  • (2021)Towards Automated Semantic Explainability of Multimedia Feature GraphsInformation10.3390/info1212050212:12(502)Online publication date: 2-Dec-2021
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  1. Content-based video retrieval: does video's semantic visual feature matter?

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    cover image ACM Conferences
    SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
    August 2006
    768 pages
    ISBN:1595933697
    DOI:10.1145/1148170
    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 August 2006

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    Author Tags

    1. content-based
    2. user interface
    3. video browsing
    4. video retrieval

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    SIGIR06
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    SIGIR06: The 29th Annual International SIGIR Conference
    August 6 - 11, 2006
    Washington, Seattle, USA

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    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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    Cited By

    View all
    • (2022)Explainable Multimedia Feature Fusion for Medical ApplicationsJournal of Imaging10.3390/jimaging80401048:4(104)Online publication date: 8-Apr-2022
    • (2022)Learn from Unlabeled Videos for Near-duplicate Video RetrievalProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3532010(1002-1011)Online publication date: 6-Jul-2022
    • (2021)Towards Automated Semantic Explainability of Multimedia Feature GraphsInformation10.3390/info1212050212:12(502)Online publication date: 2-Dec-2021
    • (2021)Fast and Effective Retrieval for Large Multimedia CollectionsBig Data and Cognitive Computing10.3390/bdcc50300335:3(33)Online publication date: 22-Jul-2021
    • (2019)I-QuestMultimedia Tools and Applications10.1007/s11042-009-0262-343:2(145-178)Online publication date: 17-Jan-2019
    • (2011)Named entity recognition in titles of Chinese videos from the web2011 IEEE International Conference on Computer Science and Automation Engineering10.1109/CSAE.2011.5952838(220-224)Online publication date: Jun-2011
    • (2010)Automatic semantic annotation of images based on Web data2010 Sixth International Conference on Information Assurance and Security10.1109/ISIAS.2010.5604186(317-322)Online publication date: Aug-2010
    • (2010)Towards effective video annotationComputers & Education10.1016/j.compedu.2010.07.02155:4(1752-1763)Online publication date: 1-Dec-2010
    • (2009)Unified video annotation via multigraph learningIEEE Transactions on Circuits and Systems for Video Technology10.5555/1641661.164167119:5(733-746)Online publication date: 1-May-2009
    • (2009)Unified Video Annotation via Multigraph LearningIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2009.201740019:5(733-746)Online publication date: May-2009
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