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Multimedia information retrieval: what is it, and why isn't anyone using it?

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Wei-Ying MaAuthors Info & Claims

MIR '05: Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval

Pages 3 - 8

https://doi.org/10.1145/1101826.1101829

Published: 10 November 2005 Publication History

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Abstract

In this paper, the participants of the panel at the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval answer questions about what multimedia is, how MIR is different from other kinds of retrieval, the most important technical challenges in MIR, killer applications, opportunities, and future directions.

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Weiland LHanser FScherp A(2018)Requirements to a Search Engine for Semantic Multimedia ContentDigital Multimedia10.4018/978-1-5225-3822-6.ch036(720-734)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-3822-6.ch036
Kwaśnicka HJain L(2018)Semantic Gap in Image and Video Analysis: An IntroductionBridging the Semantic Gap in Image and Video Analysis10.1007/978-3-319-73891-8_1(1-6)Online publication date: 21-Feb-2018
https://doi.org/10.1007/978-3-319-73891-8_1
Jisna PVarghese EWilson ABineesh M(2017)A novel method for brain proficiency analysis based on audio tracking2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT)10.1109/ICCPCT.2017.8074319(1-5)Online publication date: Apr-2017
https://doi.org/10.1109/ICCPCT.2017.8074319
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Index Terms

Multimedia information retrieval: what is it, and why isn't anyone using it?
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking

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Published In

MIR '05: Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval

November 2005

274 pages

ISBN:1595932445

DOI:10.1145/1101826

General Chairs:
Hongjiang Zhang
Microsoft Research Advanced Technology Center, China
,
John Smith
IBM T. J. Watson Research Center, Hawthorne, NY, USA
,
Qi Tian
University of Texas at San Antonio, San Antonio, TX, USA

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

New York, NY, United States

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Published: 10 November 2005

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MM&Sec '05

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MM&Sec '05: Multimedia and Security Workshop 2005

November 10 - 11, 2005

Hilton, Singapore

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Weiland LHanser FScherp A(2018)Requirements to a Search Engine for Semantic Multimedia ContentDigital Multimedia10.4018/978-1-5225-3822-6.ch036(720-734)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-3822-6.ch036
Kwaśnicka HJain L(2018)Semantic Gap in Image and Video Analysis: An IntroductionBridging the Semantic Gap in Image and Video Analysis10.1007/978-3-319-73891-8_1(1-6)Online publication date: 21-Feb-2018
https://doi.org/10.1007/978-3-319-73891-8_1
Jisna PVarghese EWilson ABineesh M(2017)A novel method for brain proficiency analysis based on audio tracking2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT)10.1109/ICCPCT.2017.8074319(1-5)Online publication date: Apr-2017
https://doi.org/10.1109/ICCPCT.2017.8074319
Alzubaidi M(2016)A new strategy for bridging the semantic gap in image retrievalInternational Journal of Computational Science and Engineering10.1504/IJCSE.2017.08117414:1(27-43)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1504/IJCSE.2017.081174
Sandouk UChen K(2016)Learning contextualized semantics from co-occurring terms via a Siamese architectureNeural Networks10.1016/j.neunet.2016.01.00476:C(65-96)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1016/j.neunet.2016.01.004
Weiland LHanser FScherp A(2014)Requirements to a Search Engine for Semantic Multimedia ContentInternational Journal of Multimedia Data Engineering & Management10.4018/ijmdem.20141001045:4(53-65)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.4018/ijmdem.2014100104
(2014)BibliographySemantic Multimedia Analysis and Processing10.1201/b17080-21(421-512)Online publication date: 18-Jun-2014
https://doi.org/10.1201/b17080-21
Weiland LHanser FScherp A(2014)Requirements Elicitation Towards a Search Engine for Semantic Multimedia ContentProceedings of the 2014 IEEE International Conference on Semantic Computing10.1109/ICSC.2014.35(116-119)Online publication date: 16-Jun-2014
https://dl.acm.org/doi/10.1109/ICSC.2014.35
Balcer BHalvey MJose JBrewster S(2012)COPEProceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers10.5555/2377916.2377918(1-10)Online publication date: 10-Sep-2012
https://dl.acm.org/doi/10.5555/2377916.2377918
Naaman M(2012)Social multimediaMultimedia Tools and Applications10.1007/s11042-010-0538-756:1(9-34)Online publication date: 1-Jan-2012
https://dl.acm.org/doi/10.1007/s11042-010-0538-7
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Content-based multimedia information retrieval: State of the art and challenges

k-Partite graph reinforcement and its application in multimedia information retrieval

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

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