Article

Towards auto-documentary: tracking the evolution of news stories

Authors:

David A. ForsythAuthors Info & Claims

MULTIMEDIA '04: Proceedings of the 12th annual ACM international conference on Multimedia

Pages 820 - 827

https://doi.org/10.1145/1027527.1027719

Published: 10 October 2004 Publication History

Abstract

News videos constitute an important source of information for tracking and documenting important events. In these videos, news stories are often accompanied by short video shots that tend to be repeated during the course of the event. Automatic detection of such repetitions is essential for creating auto-documentaries, for alleviating the limitation of traditional textual topic detection methods. In this paper, we propose novel methods for detecting and tracking the evolution of news over time. The proposed method exploits both visual cues and textual information to summarize evolving news stories. Experiments are carried on the TREC-VID data set consisting of 120 hours of news videos from two different channels.

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Cited By

Ting IYen CKlamma RO'Halloran SRokne J(2021)Towards automatic generated content website based on content classification and auto-article generationProceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.1145/3487351.3488414(436-438)Online publication date: 8-Nov-2021
https://dl.acm.org/doi/10.1145/3487351.3488414
Zhang CJin DXiao XChen GShyu M(2020)A Novel Collaborative Optimization Framework for Web Video Event Mining Based on the Combination of Inaccurate Visual Similarity Detection Information and Sparse Textual InformationIEEE Access10.1109/ACCESS.2020.29647148(10516-10527)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2964714
Haloi PGadde PBhuyan M(2019)News Video Indexing and Story Unit Segmentation using Text Cue2019 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)10.1109/WiSPNET45539.2019.9032814(501-507)Online publication date: Mar-2019
https://doi.org/10.1109/WiSPNET45539.2019.9032814
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Index Terms

Towards auto-documentary: tracking the evolution of news stories
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Video summarization

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Published In

cover image ACM Conferences

MULTIMEDIA '04: Proceedings of the 12th annual ACM international conference on Multimedia

October 2004

1028 pages

ISBN:1581138938

DOI:10.1145/1027527

General Chairs:
Henning Schulzrinne
Columbia University
,
Nevenka Dimitrova
Philips Research
,
Program Chairs:
Angela Sasse
UCL
,
Sue Moon
KAIST
,
Rainer Lienhart
U Augsburg

Copyright © 2004 ACM.

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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Publication History

Published: 10 October 2004

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MM04: 2004 12th Annual ACM International Conference on Multimedia

October 10 - 16, 2004

NY, New York, USA

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

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Cited By

Ting IYen CKlamma RO'Halloran SRokne J(2021)Towards automatic generated content website based on content classification and auto-article generationProceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.1145/3487351.3488414(436-438)Online publication date: 8-Nov-2021
https://dl.acm.org/doi/10.1145/3487351.3488414
Zhang CJin DXiao XChen GShyu M(2020)A Novel Collaborative Optimization Framework for Web Video Event Mining Based on the Combination of Inaccurate Visual Similarity Detection Information and Sparse Textual InformationIEEE Access10.1109/ACCESS.2020.29647148(10516-10527)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2964714
Haloi PGadde PBhuyan M(2019)News Video Indexing and Story Unit Segmentation using Text Cue2019 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)10.1109/WiSPNET45539.2019.9032814(501-507)Online publication date: Mar-2019
https://doi.org/10.1109/WiSPNET45539.2019.9032814
Haloi PBordoloi ABhuyan M(2019)Unsupervised Broadcast News Video Shot Segmentation and Classification2019 2nd International Conference on Innovations in Electronics, Signal Processing and Communication (IESC)10.1109/IESPC.2019.8902395(243-251)Online publication date: Mar-2019
https://doi.org/10.1109/IESPC.2019.8902395
Zhang CLiu DWu XZhao GShyu MPeng Q(2016)Near-Duplicate Segments based news web video event miningSignal Processing10.1016/j.sigpro.2015.08.002120:C(26-35)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1016/j.sigpro.2015.08.002
Kato KIde IDeguchi DMurase HRedi JRudinac S(2015)Generation of a Video Summary on a News Topic Based on SNS Responses to News StoriesProceedings of the Fourth International Workshop on Crowdsourcing for Multimedia10.1145/2810188.2810189(21-26)Online publication date: 30-Oct-2015
https://dl.acm.org/doi/10.1145/2810188.2810189
Zhang TXu C(2014)Cross-Domain Multi-Event Tracking via CO-PMHTACM Transactions on Multimedia Computing, Communications, and Applications10.1145/260263310:4(1-19)Online publication date: 4-Jul-2014
https://dl.acm.org/doi/10.1145/2602633
Kato KIde IDeguchi DMurase HKankanhalli MRueger SManmatha RJose Jvan Rijsbergen K(2014)Estimation of the Representative Story Transition in a Chronological Semantic Structure of News TopicsProceedings of International Conference on Multimedia Retrieval10.1145/2578726.2578800(487-490)Online publication date: 1-Apr-2014
https://dl.acm.org/doi/10.1145/2578726.2578800
Zhang CWu XShyu MPeng Q(2013)Adaptive association rule mining for web video event classification2013 IEEE 14th International Conference on Information Reuse & Integration (IRI)10.1109/IRI.2013.6642526(618-625)Online publication date: Aug-2013
https://doi.org/10.1109/IRI.2013.6642526
Zhang CWu XShyu MPeng Q(2013)A Novel Web Video Event Mining Framework with the Integration of Correlation and Co-Occurrence InformationJournal of Computer Science and Technology10.1007/s11390-013-1377-628:5(788-796)Online publication date: 17-Sep-2013
https://doi.org/10.1007/s11390-013-1377-6
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