Article

Semantic indexing and retrieval of video

Authors:

Marcel Worring,

Cees G. M. SnoekAuthors Info & Claims

MM '06: Proceedings of the 14th ACM international conference on Multimedia

Page 13

https://doi.org/10.1145/1180639.1180648

Published: 23 October 2006 Publication History

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Abstract

This tutorial lays the foundation for the exciting new horizons that arise when multimedia data can automatically be indexed by its semantic content. It will cover basic video analysis techniques, explain the different methods for video indexing, and explore how users can be given interactive access to the data. For both indexing and interactive access TRECVID evaluations will be considered. Finally, some more insight on the challenges ahead and how to meet them will be presented.

Cited By

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Li YTian YDuan LYang JHuang TGao W(2010)Sequence Multi-LabelingIEEE Transactions on Multimedia10.1109/TMM.2010.206696012:8(814-828)Online publication date: 1-Dec-2010
https://dl.acm.org/doi/10.1109/TMM.2010.2066960
Hauptmann A(2009)Video Content AnalysisEncyclopedia of Database Systems10.1007/978-0-387-39940-9_1018(3271-3276)Online publication date: 2009
https://doi.org/10.1007/978-0-387-39940-9_1018
Fleischman MRoy DSidner CSchultz TStone MZhai C(2007)Situated models of meaning for sports video retrievalHuman Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers10.5555/1614108.1614118(37-40)Online publication date: 22-Apr-2007
https://dl.acm.org/doi/10.5555/1614108.1614118
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Index Terms

Semantic indexing and retrieval of video
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Published In

MM '06: Proceedings of the 14th ACM international conference on Multimedia

October 2006

1072 pages

ISBN:1595934472

DOI:10.1145/1180639

General Chairs:
Klara Nahrstedt
UIUC
,
Matthew Turk
UCSB
,
Program Chairs:
Yong Rui
Microsoft Research
,
Wolfgang Klas
Universität Wien
,
Ketan Mayer-Patel
UNC

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

Publication History

Published: 23 October 2006

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MM06

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MM06: The 14th ACM International Conference on Multimedia 2006

October 23 - 27, 2006

CA, Santa Barbara, USA

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Li YTian YDuan LYang JHuang TGao W(2010)Sequence Multi-LabelingIEEE Transactions on Multimedia10.1109/TMM.2010.206696012:8(814-828)Online publication date: 1-Dec-2010
https://dl.acm.org/doi/10.1109/TMM.2010.2066960
Hauptmann A(2009)Video Content AnalysisEncyclopedia of Database Systems10.1007/978-0-387-39940-9_1018(3271-3276)Online publication date: 2009
https://doi.org/10.1007/978-0-387-39940-9_1018
Fleischman MRoy DSidner CSchultz TStone MZhai C(2007)Situated models of meaning for sports video retrievalHuman Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers10.5555/1614108.1614118(37-40)Online publication date: 22-Apr-2007
https://dl.acm.org/doi/10.5555/1614108.1614118
Fleischman MRoy DWang JBoujemaa NDel Bimbo ALi J(2007)Unsupervised content-based indexing of sports videoProceedings of the international workshop on Workshop on multimedia information retrieval10.1145/1290082.1290097(87-94)Online publication date: 24-Sep-2007
https://dl.acm.org/doi/10.1145/1290082.1290097

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MediaMill: exploring news video archives based on learned semantics

Crowdsourcing rock n' roll multimedia retrieval

The effect of semantic index in information retrieval development

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