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MEMOSE: search engine for emotions in multimedia documents

Published: 19 July 2010 Publication History

Abstract

The MEMOSE (Media Emotion Search) system is a specialized search engine for fundamental emotions in all kinds of emotional-laden documents. We apply a controlled vocabulary for basic emotions, a slide control to adjust the intensities of the emotions and the approach of broad folksonomies. The paper describes the indexing and the retrieval tool of MEMOSE and results from its evaluation.

References

[1]
Knautz, K. et al. 2010. Indexieren von Emotionen bei Videos. Information -- Wissenschaft und Praxis 61(4), in press
[2]
Knautz, K., Soubusta, S., and Stock, W.G. 2010. Tag Clusters as Information Retrieval Interfaces. In Proceedings of the 43th Annual Hawaii International Conference on System Sciences (HICSS-43), January 5--8, 2010. IEEE Computer Society Press, 10 pages.
[3]
Lee, H.J. and Neal, D. 2007. Toward Web 2.0 Music Information Retrieval. Utilizing Emotion-based, User-assigned Descriptors. In Proceedings of the 70th ASIS&T Annual Meeting. Joining Research and Practice: Social Computing and Information Science, Milwaukee, October 19--24, 2007.
[4]
Peters, I. 2009. Folksonomies. Indexing and Retrieval in Web 2.0. Berlin, Germany: De Gruyter Saur.
[5]
Schmidt, S. and Stock, W.G. 2009. Collective Indexing of Emotions in Images. A Study in Emotional Information Retrieval. J. Am. Soc. Inf. Sci. Tec, 60(5), 863--876.
[6]
Stock, W.G. 2006. On Relevance Distributions. J. Am. Soc. Inf. Sci. Tec., 57(8),

Cited By

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  • (2022)Towards Multimodal Search and Visualization of Movies Based on EmotionsProceedings of the 2022 ACM International Conference on Interactive Media Experiences10.1145/3505284.3532987(349-356)Online publication date: 21-Jun-2022
  • (2016)Three types of affect tags for art imagesProceedings of the 79th ASIS&T Annual Meeting: Creating Knowledge, Enhancing Lives through Information & Technology10.5555/3017447.3017486(1-9)Online publication date: 14-Oct-2016
  • (2016)“The most passionate cover I’ve seen”: emotional information in fan-created U2 music videosJournal of Documentation10.1108/JD-07-2015-008672:3(569-590)Online publication date: 9-May-2016
  • Show More Cited By

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Published In

cover image ACM Conferences
SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
July 2010
944 pages
ISBN:9781450301534
DOI:10.1145/1835449
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 July 2010

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Author Tags

  1. collaborative indexing
  2. emotion
  3. emotional information retrieval (EMIR)
  4. multimedia resources
  5. slide control tagging

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SIGIR '10 Paper Acceptance Rate 87 of 520 submissions, 17%;
Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

View all
  • (2022)Towards Multimodal Search and Visualization of Movies Based on EmotionsProceedings of the 2022 ACM International Conference on Interactive Media Experiences10.1145/3505284.3532987(349-356)Online publication date: 21-Jun-2022
  • (2016)Three types of affect tags for art imagesProceedings of the 79th ASIS&T Annual Meeting: Creating Knowledge, Enhancing Lives through Information & Technology10.5555/3017447.3017486(1-9)Online publication date: 14-Oct-2016
  • (2016)“The most passionate cover I’ve seen”: emotional information in fan-created U2 music videosJournal of Documentation10.1108/JD-07-2015-008672:3(569-590)Online publication date: 9-May-2016
  • (2016)Three types of affect tags for art imagesProceedings of the Association for Information Science and Technology10.1002/pra2.2016.1450530103953:1(1-8)Online publication date: 27-Dec-2016
  • (2012)Incentives for emotional multimedia taggingProceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion10.1145/2141512.2141539(53-54)Online publication date: 11-Feb-2012
  • (2012)CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICONComputational Intelligence10.1111/j.1467-8640.2012.00460.x29:3(436-465)Online publication date: 4-Sep-2012
  • (2011)Collective indexing of emotions in videosJournal of Documentation10.1108/0022041111118355567:6(975-994)Online publication date: 18-Oct-2011

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