Article

Real time advertisement insertion in baseball video based on advertisement effect

Authors:

Yiqun Li,

Kong Wah Wan,

Xin Yan,

Changsheng XuAuthors Info & Claims

MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia

Pages 343 - 346

https://doi.org/10.1145/1101149.1101221

Published: 06 November 2005 Publication History

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Abstract

In this paper, we propose a novel method to detect baseball video scene for commercial advertisement insertion. The method uses the criteria based on better advertisement effect to generate a set of rules. From these rules, proper timing (starting time and ending time) and location are identified to insert the advertisement in the broadcast baseball video automatically. The proper timing is detected based on the consistent existence of simple background objects in the video for a period of time. The proper location is identified by less-informative-region detection in the video. The rules make sure that the critical information of the video is not blocked by the advertisement and the advertisement is always stable, clear and viewable on the stationary background of the video. The experimental results are encouraging.

References

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Zhang ZChen SWang ZYang J(2024)PlaneSeg: Building a Plug-In for Boosting Planar Region SegmentationIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2023.326254435:8(11486-11500)Online publication date: Aug-2024
https://doi.org/10.1109/TNNLS.2023.3262544
Song XXu BJiang Y(2021)Predicting Content Similarity via Multimodal Modeling for Video-In-Video AdvertisingIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2020.297992831:2(569-581)Online publication date: Feb-2021
https://doi.org/10.1109/TCSVT.2020.2979928
Nguyen NZuniga ALee HHui PFlores HNurmi P(2020)(M)ad to See Me?Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33973244:2(1-26)Online publication date: 15-Jun-2020
https://dl.acm.org/doi/10.1145/3397324
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Index Terms

Real time advertisement insertion in baseball video based on advertisement effect
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

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Information

Published In

MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia

November 2005

1110 pages

ISBN:1595930442

DOI:10.1145/1101149

General Chairs:
Hongjiang Zhang
Microsoft Research Asia, China
,
Tat-Seng Chua
National University of Singapore, Singapore
,
Program Chairs:
Ralf Steinmetz
Technische Universitat Darmstadt, Germany
,
Mohan Kankanhalli
National University of Singapore, Singapore
,
Lynn Wilcox
FXPAL

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: 06 November 2005

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MM05

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MM05: 2005 13th Annual ACM International Conference on Multimedia

November 6 - 11, 2005

Hilton, Singapore

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MULTIMEDIA '05 Paper Acceptance Rate 49 of 312 submissions, 16%;

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

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Cited By

View all

Zhang ZChen SWang ZYang J(2024)PlaneSeg: Building a Plug-In for Boosting Planar Region SegmentationIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2023.326254435:8(11486-11500)Online publication date: Aug-2024
https://doi.org/10.1109/TNNLS.2023.3262544
Song XXu BJiang Y(2021)Predicting Content Similarity via Multimodal Modeling for Video-In-Video AdvertisingIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2020.297992831:2(569-581)Online publication date: Feb-2021
https://doi.org/10.1109/TCSVT.2020.2979928
Nguyen NZuniga ALee HHui PFlores HNurmi P(2020)(M)ad to See Me?Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33973244:2(1-26)Online publication date: 15-Jun-2020
https://dl.acm.org/doi/10.1145/3397324
Li JGong XLi B(2020)End-to-End Texture-Aware and Depth-Aware Embedded Advertising for VideosProceedings of the 2020 6th International Conference on Computer and Technology Applications10.1145/3397125.3397133(57-61)Online publication date: 14-Apr-2020
https://dl.acm.org/doi/10.1145/3397125.3397133
Zhang HJi YHuang WLiu L(2019)Sitcom-star-based clothing retrieval for video advertising: a deep learning frameworkNeural Computing and Applications10.1007/s00521-018-3579-x31:11(7361-7380)Online publication date: 1-Nov-2019
https://dl.acm.org/doi/10.1007/s00521-018-3579-x
Wong HAkar OCuevas ETabian IRavichandran DFu ICarter C(2019)Markerless Augmented Advertising for Sports VideosComputer Vision – ACCV 2018 Workshops10.1007/978-3-030-21074-8_39(494-509)Online publication date: 19-Jun-2019
https://doi.org/10.1007/978-3-030-21074-8_39
Liu MNie LWang XTian QChen B(2018)Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary LearningIEEE Transactions on Image Processing10.1109/TIP.2018.287536328:3(1235-1247)Online publication date: 2-Nov-2018
https://dl.acm.org/doi/10.1109/TIP.2018.2875363
Mei TLi LTian XTao DNgo C(2018)PageSenseIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2016.259870228:1(254-266)Online publication date: 1-Jan-2018
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Zhang HJi YHuang WLiu L(2018)Sitcom-Stars Oriented Video Advertising via Clothing RetrievalDatabase Systems for Advanced Applications10.1007/978-3-319-91458-9_39(638-646)Online publication date: 12-May-2018
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Wang SZhang HAn YYe YZhang YLi Y(2016)Clothes Advertising by Targeting Principal Actors in Video2016 9th International Conference on Service Science (ICSS)10.1109/ICSS.2016.10(7-14)Online publication date: Oct-2016
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