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Multimedia retrieval that matters

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Alan HanjalicAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 9, Issue 1s

Article No.: 44, Pages 1 - 5

https://doi.org/10.1145/2490827

Published: 17 October 2013 Publication History

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Abstract

This article emphasizes the need to refocus multimedia information retrieval (MIR) research towards bridging the utility gap, the gap between the expected and defacto usefulness of MIR solutions. This requires us to revisit the notion of relevance, but also to consider other criteria for assessing MIR solutions, like the informativeness of the retrieved results and how helpful they are for the users. The article also states that this focus shift cannot be realized incrementally, but by revisiting the foundations of MIR solutions, that is, by a utility-by-design approach. In this respect, a number of research challenges are proposed.

References

[1]

Broder, A. 2010. A taxonomy of Web search, ACM SIGIR Forum, 36, 2, 3--10.

Digital Library

Google Scholar

[2]

Cremonesi, P., Koren, Y., and Turrin, R. 2010. Performance of recommender algorithms on top-n recommendation tasks. In Proceedings of the ACM Conference on Recommender Systems (RecSys'10). 39--46.

Digital Library

Google Scholar

[3]

Downie, J. S. 2008. The music information retrieval evaluation exchange (2005--2007): A window into music information retrieval research. Acoustical Sci. Technol. 29, 4, 247--255.

Google Scholar

[4]

Hanjalic, A. 2012. New grand challenge for multimedia information retrieval: Bridging the utility gap. Int. J. Multimedia Inf. Retrieval. 1, 3, 139--152.

Crossref

Google Scholar

[5]

Hanjalic, A., Kofler, C., and Larson, M. A. 2012. Intent and its discontents: the user at the wheel of the online video search engine. In Proceedings of the ACM International Conference on Multimedia (Multimedia'12). 1239--1248.

Digital Library

Google Scholar

[6]

Over, P., Awad, G., Michel, M., Fiscus, J., Kraaij, W., and Smeaton, A. F. 2012. TRECVID 2011 - An overview of the goals, tasks, data, evaluation mechanisms and metrics. In Proceedings of TRECVID.

Google Scholar

[7]

Rudinac, S., Larson, M. A., and Hanjalic, A. 2012. Leveraging visual concepts and query performance prediction for semantic-theme-based video retrieval. Int. J. Multimedia Inf. Retrieval. 1, 4, 263--280.

Crossref

Google Scholar

[8]

Shi, Y., Serdyukov, P., Hanjalic, A., and Larson, M. A. 2013. Personalized landmark recommendation based on geotags from photo sharing sites: Towards alleviating data sparseness and making non-trivial recommendations. ACM Trans. Intell. Syst. Technol. To appear.

Google Scholar

[9]

Wagstaff, K. 2012. Machine learning that matters. In Proceedings of the International Conference on Machine Learning (ICML'12).

Google Scholar

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Shrestha BChung HAygün R(2019)FaceTimeMapInternational Journal of Multimedia Data Engineering and Management10.4018/IJMDEM.201904010310:2(37-59)Online publication date: 1-Apr-2019
https://doi.org/10.4018/IJMDEM.2019040103
Harakawa ROgawa THaseyama M(2018)Tracking topic evolution via salient keyword matching with consideration of semantic broadness for Web video discoveryMultimedia Tools and Applications10.1007/s11042-017-5404-477:16(20297-20324)Online publication date: 1-Aug-2018
https://dl.acm.org/doi/10.1007/s11042-017-5404-4
(2017)BibliographyFrontiers of Multimedia Research10.1145/3122865.3122878(315-377)Online publication date: 19-Dec-2017
https://dl.acm.org/doi/10.1145/3122865.3122878
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Index Terms

Multimedia retrieval that matters
1. Information systems
  1. Information retrieval
    1. Document representation

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cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 9, Issue 1s

Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012

October 2013

218 pages

ISSN:1551-6857

EISSN:1551-6865

DOI:10.1145/2523001

Issue’s Table of Contents

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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Association for Computing Machinery

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Publication History

Published: 17 October 2013

Accepted: 01 May 2013

Received: 01 May 2013

Published in TOMM Volume 9, Issue 1s

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Shrestha BChung HAygün R(2019)FaceTimeMapInternational Journal of Multimedia Data Engineering and Management10.4018/IJMDEM.201904010310:2(37-59)Online publication date: 1-Apr-2019
Harakawa ROgawa THaseyama M(2018)Tracking topic evolution via salient keyword matching with consideration of semantic broadness for Web video discoveryMultimedia Tools and Applications10.1007/s11042-017-5404-477:16(20297-20324)Online publication date: 1-Aug-2018
(2017)BibliographyFrontiers of Multimedia Research10.1145/3122865.3122878(315-377)Online publication date: 19-Dec-2017
Harakawa ROgawa THaseyama M(2017)Extracting Hierarchical Structure of Web Video Groups Based on Sentiment-Aware Signed Network AnalysisIEEE Access10.1109/ACCESS.2017.27410985(16963-16973)Online publication date: 2017
(2017)Frontiers of Multimedia ResearchundefinedOnline publication date: 19-Dec-2017
Kofler CLarson MHanjalic A(2016)User Intent in Multimedia SearchACM Computing Surveys10.1145/295493049:2(1-37)Online publication date: 13-Aug-2016
Cui PZhu WChua TJain R(2016)Social-Sensed Multimedia ComputingIEEE MultiMedia10.1109/MMUL.2016.823:1(92-96)Online publication date: 1-Jan-2016
Hanjalic A(2015)Multimedia Search: From Relevance to UsefulnessIEEE MultiMedia10.1109/MMUL.2015.1122:1(2-3)Online publication date: Jan-2015

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Content-based multimedia information retrieval: State of the art and challenges

A Relevance Feedback Architecture for Content-based Multimedia Information Retrieval Systems

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Content-based multimedia information retrieval: State of the art and challenges

A Relevance Feedback Architecture for Content-based Multimedia Information Retrieval Systems

Applications of Image Understanding in Semantics-Oriented Multimedia Information Retrieval

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