Article

3WNews: who, where, and when in news video

Authors:

Jun Yang,

Alexander G. HauptmannAuthors Info & Claims

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

Pages 503 - 504

https://doi.org/10.1145/1180639.1180746

Published: 23 October 2006 Publication History

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Abstract

We describe 3WNews as a novel system for browsing news video by the people (who) and locations (where) appearing in the footage as well as the time (when) of news events. The people names, locations, and time expressions are recognized from video transcript and their ambiguous references are resolved. As a key advantage, 3WNews distinguishes the people and locations that actually appear in the video from those merely mentioned in the transcript, and uses them as (better) indexes for browsing. It also supports browsing of news video by event time instead of broadcasting time.

References

[1]

M. G. Christel and et al. Collages as dynamic summaries for news video. In Proc. of the 10th ACM Int'l Conf. on Multimedia, pages 561--569, 2002.

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[2]

B. Han, D. Gates, and L. Levin. From language to time: A temporal expression anchorer. In Proc. of the 13th Intl Symposium on Temporal Representation and Reasoning, 2006.

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[3]

C. G. Snoek and et al. Mediamill: Exploring news video archives based on learned semantics. In Proc of ACM Multimedia, pages 225--226, 2005.

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[4]

J. Yang and A. G. Hauptmann. Annotating news video with locations. In Proc. of 5rd Int'l Conf. on Image and Video Retrieval, 2006.

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3WNews: who, where, and when in news video
1. Information systems
  1. Information retrieval

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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: 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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Discovering the web by location with Webnear.me

Location Extraction from Social Media: Geoparsing, Location Disambiguation, and Geotagging

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