research-article

Video generation method based on user's tendency of viewpoint selection for multi-view video contents

Authors:

Yuki Muramatsu,

Takatsugu Hirayama,

Kenji MaseAuthors Info & Claims

AH '14: Proceedings of the 5th Augmented Human International Conference

Article No.: 1, Pages 1 - 4

https://doi.org/10.1145/2582051.2582052

Published: 07 March 2014 Publication History

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Abstract

A multi-view video makes it possible for users to watch video contents, for example, live concerts or sports events, more freely from various viewpoints. However, the users need to select a camera that captures a scene from their own preferred viewpoint at each event. In this paper, we propose a video generation method based on the user's View Tendency, which is a tendency of viewpoint selection according to the user-dependent interest for multi-view video content. The proposed method learns the View Tendency by Support Vector Machine (SVM) using several measures such as the geometric features of an object. Then, this method estimates the consistency of each viewpoint with the learned View Tendency and integrates the estimation results to obtain a temporal sequence of the viewpoints. The proposed method enables the users to reduce the burden of viewpoint selection and to watch the viewpoint sequence that reflects the interest as viewing assistance for the multi-view video content.

References

[1]

Hirayama, T., Marutani, T., Tanoue, D., Tokai, S., Fels, S., and Mase, K. Agent-assisted multi-viewpoint video viewer and its gaze-based evaluation. The 6th Workshop on Eye Gaze in Intelligent Human Machine Interaction (2013).

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[2]

Iwatsuki, A., Hirayama, T., and Mase, K. Analysis of soccer coach's eye gaze behavior. International Workshop on Advanced Sensing/Visual Attention and Interaction (2013).

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Lou, Jian-Guang, Cai, Hua, Li, and Jiang. A real-time interactive multi-view video system. In Proceedings of the 13th annual ACM international conference on Multimedia (2005), 161--170.

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[4]

Marutani, T., Mase, K., Fujii, T., and Kawamoto, T. Multi-view video contents viewing system by synchronized multi-view streaming architecture. In Proceedings of the 20th ACM international conference on Multimedia (2012), 1277--1278.

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Mase, K., Niwa, K., and Marutani, T. Socially assisted multi-view video viewer. In Proceedings of the 13th international conference on multimodal interfaces (2011), 319--322.

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Shen, C., Zhang, C., and Fels, S. A multi-camera surveillance system that estimates quality-of-view measurement. IEEE International Conference on Image Processing (2007), III--193.

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Cited By

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Meena PKumar HKumar Yadav S(2023)A review on video summarization techniquesEngineering Applications of Artificial Intelligence10.1016/j.engappai.2022.105667118:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.engappai.2022.105667
Hussain TMuhammad KDing WLloret JBaik Sde Albuquerque V(2021)A comprehensive survey of multi-view video summarizationPattern Recognition10.1016/j.patcog.2020.107567109:COnline publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1016/j.patcog.2020.107567
Hussain TMuhammad KSer JBaik Sde Albuquerque V(2020)Intelligent Embedded Vision for Summarization of Multiview Videos in IIoTIEEE Transactions on Industrial Informatics10.1109/TII.2019.293790516:4(2592-2602)Online publication date: Apr-2020
https://doi.org/10.1109/TII.2019.2937905
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Index Terms

Video generation method based on user's tendency of viewpoint selection for multi-view video contents
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
      1. Virtual reality
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Mixed / augmented reality
      2. Virtual reality

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Published In

AH '14: Proceedings of the 5th Augmented Human International Conference

March 2014

249 pages

ISBN:9781450327619

DOI:10.1145/2582051

General Chair:
Tsutomu Terada
Kobe University, Japan
,
Program Chairs:
Masahiko Inami
Keio University, Japan
,
Kai Kunze
Osaka Prefecture University, Japan
,
Takuya Nojima
University of Electro-communications, Japan

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: 07 March 2014

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National Institute of Information and Communications Technology (NICT)
Strategic Information and Communications R&D Promotion Program of Japanese Ministry of Internal Affairs and Communications

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AH '14

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MEET IN KOBE 21st Century

AH '14: 5th Augmented Human International Conference

March 7 - 8, 2014

Kobe, Japan

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Overall Acceptance Rate 121 of 306 submissions, 40%

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Meena PKumar HKumar Yadav S(2023)A review on video summarization techniquesEngineering Applications of Artificial Intelligence10.1016/j.engappai.2022.105667118:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.engappai.2022.105667
Hussain TMuhammad KDing WLloret JBaik Sde Albuquerque V(2021)A comprehensive survey of multi-view video summarizationPattern Recognition10.1016/j.patcog.2020.107567109:COnline publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1016/j.patcog.2020.107567
Hussain TMuhammad KSer JBaik Sde Albuquerque V(2020)Intelligent Embedded Vision for Summarization of Multiview Videos in IIoTIEEE Transactions on Industrial Informatics10.1109/TII.2019.293790516:4(2592-2602)Online publication date: Apr-2020
https://doi.org/10.1109/TII.2019.2937905
WANG XHARA KENOKIBORI YHIRAYAMA TMASE K(2018)Personal Viewpoint Navigation Based on Object Trajectory Distribution for Multi-View VideosIEICE Transactions on Information and Systems10.1587/transinf.2017EDP7122E101.D:1(193-204)Online publication date: 2018
https://doi.org/10.1587/transinf.2017EDP7122
Wang XEnokibori YHirayama THara KMase KAlameda-Pineda XRedi MSoleymani MSebe NChang SGosling S(2017)User Group based Viewpoint Recommendation using User Attributes for Multiview VideosProceedings of the Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes10.1145/3132515.3132523(3-9)Online publication date: 27-Oct-2017
https://dl.acm.org/doi/10.1145/3132515.3132523
Wang XNakano YAndré ENishida TMorency LBusso CPelachaud C(2016)Viewing support system for multi-view videosProceedings of the 18th ACM International Conference on Multimodal Interaction10.1145/2993148.2997613(527-531)Online publication date: 31-Oct-2016
https://dl.acm.org/doi/10.1145/2993148.2997613
Wang XHara KEnokibori YHirayama TMase KHanjalic ASnoek CWorring MBulterman DHuet BKelliher AKompatsiaris YLi J(2016)Personal Multi-view Viewpoint Recommendation based on Trajectory Distribution of the Viewing TargetProceedings of the 24th ACM international conference on Multimedia10.1145/2964284.2967265(471-475)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1145/2964284.2967265

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Context-Dependent Viewpoint Sequence Recommendation System for Multi-view Video

User Group based Viewpoint Recommendation using User Attributes for Multiview Videos

Generation of high-quality depth maps using hybrid camera system for 3-D video

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