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Tag transformer

Published: 25 October 2010 Publication History

Abstract

Human annotations (titles and tags) of web videos facilitate most web video applications. However, the raw tags are noisy, sparse and structureless, which limit the effectiveness of tags. In this paper, we propose a tag transformer schema to solve these problems. We first eliminate those imprecise and meaningless tags with Wikipedia, and then transform the remaining tags to the Wikipedia category set to gather a precise, complete and structural description of the tags. Our experimental results on web video categorization demonstrate the superiority of the transformed space. We also apply tag transformer into the first study of using Wikipedia category system to structurally recommend the related videos. The online user study of the demo system suggests that our method could bring fantastic experience to the web users.

References

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J. Cao, Y.D. Zhang, Y.C. Song, Z.N. Chen, X. Zhang, and J.T. Li. MCG-WEBV: A Benchmark Dataset for Web Video Analysis, Technical Report, ICT-MCG-09-001, Institute of Computing Technology, May. 2009.
[2]
Dong Liu, Xian-Sheng Hua, Lin-jun Yang, Meng Wang, Hong-Jiang Zhang. Tag Ranking. WWW 2009: 351--360.
[3]
Jim Giles. Internet Encyclopaedias Go Head to Head. Nature, 438(7070):900--901, December 2005.
[4]
Tao Mei, Bo Yang, Xian-Sheng Hua, Lin-jun Yang, Shi-Qiang Yang, Shipeng Li: VideoReach: An Online Video Recommendation System. SIGIR 2007: 767--768.
[5]
Simon E. Overell, Börkur Sigurbjörnsson, Roelof van Zwol: Classifying Tags Using Open Content Resources. WSDM 2009: 64--73.
[6]
Morgan Ames, Mor Naaman: Why We Tag: Motivations for Annotation in Mobile and Online Media. CHI 2007: 971--980.
[7]
Kilian Q. Weinberger, Malcolm Slaney, Roelof van Zwol: Resolving Tag Ambiguity. ACM Multimedia 2008: 111--120.
[8]
Yicheng Song, Yongdong Zhang, Xu Zhang, Juan Cao, Jintao Li: Google challenge: incremental-learning for web video categorization on robust semantic feature space. ACM Multimedia 2009: 1113--1114.
[9]
Rada Mihalcea: Using Wikipedia for Automatic Word Sense Disambiguation. HLT-NAACL 2007: 196--203.

Cited By

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  • (2014)A Unified Geolocation Framework for Web VideosACM Transactions on Intelligent Systems and Technology10.1145/25339895:3(1-22)Online publication date: 17-Jul-2014
  • (2012)Web Video Geolocation by Geotagged Social ResourcesIEEE Transactions on Multimedia10.1109/TMM.2011.217293714:2(456-470)Online publication date: 1-Apr-2012

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cover image ACM Conferences
MM '10: Proceedings of the 18th ACM international conference on Multimedia
October 2010
1836 pages
ISBN:9781605589336
DOI:10.1145/1873951
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: 25 October 2010

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Author Tags

  1. online user study
  2. structural web video recommendation
  3. tag cleaning
  4. tag transformer
  5. wikipedia category tree

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  • Short-paper

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MM '10
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MM '10: ACM Multimedia Conference
October 25 - 29, 2010
Firenze, Italy

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Overall Acceptance Rate 995 of 4,171 submissions, 24%

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MM '24
The 32nd ACM International Conference on Multimedia
October 28 - November 1, 2024
Melbourne , VIC , Australia

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Cited By

View all
  • (2014)A Unified Geolocation Framework for Web VideosACM Transactions on Intelligent Systems and Technology10.1145/25339895:3(1-22)Online publication date: 17-Jul-2014
  • (2012)Web Video Geolocation by Geotagged Social ResourcesIEEE Transactions on Multimedia10.1109/TMM.2011.217293714:2(456-470)Online publication date: 1-Apr-2012

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