Stabilization Technique for Region-of-Interest Trajectories Made from Video Watching Manipulations
Summary :
Due to the recent progress made in camera and network environments, on-line video services enable people around the world to watch or share high-quality HD videos that can record a wider angle without losing objects' details in each image. As a result, users of these services can watch videos in different ways with different ROIs (Regions of Interest), especially when there are multiple objects in a scene, and thus there are few common ways for them to transfer their impressions for each scene directly. Posting messages is currently the usual way but it does not sufficiently enable all users to transfer their impressions. To transfer a user's impressions directly and provide users with a richer video watching experience, we propose a system that enables them to extract their favorite parts of videos as ROI trajectories through simple and intuitive manipulation of their tablet device. It also enables them to share a recorded trajectory with others after stabilizing it in a manner that should be satisfactory to every user. Using statistical analysis of user manipulations, we have demonstrated an approach to trajectory stabilization that can eliminate undesirable or uncomfortable elements due to tablet-specific manipulations. The system's validity has been confirmed by subjective evaluations.
- Publication
- IEICE TRANSACTIONS on Information Vol.E97-D No.2 pp.266-274
- Publication Date
- 2014/02/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E97.D.266
- Type of Manuscript
- PAPER
- Category
- Human-computer Interaction
Authors
Daisuke OCHI
NTT Corporation
Hideaki KIMATA
NTT Corporation
Yoshinori KUSACHI
NTT Corporation
Kosuke TAKAHASHI
NTT Corporation
Akira KOJIMA
NTT Corporation
Keyword
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Daisuke OCHI, Hideaki KIMATA, Yoshinori KUSACHI, Kosuke TAKAHASHI, Akira KOJIMA, "Stabilization Technique for Region-of-Interest Trajectories Made from Video Watching Manipulations" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 2, pp. 266-274, February 2014, doi: 10.1587/transinf.E97.D.266.
Abstract: Due to the recent progress made in camera and network environments, on-line video services enable people around the world to watch or share high-quality HD videos that can record a wider angle without losing objects' details in each image. As a result, users of these services can watch videos in different ways with different ROIs (Regions of Interest), especially when there are multiple objects in a scene, and thus there are few common ways for them to transfer their impressions for each scene directly. Posting messages is currently the usual way but it does not sufficiently enable all users to transfer their impressions. To transfer a user's impressions directly and provide users with a richer video watching experience, we propose a system that enables them to extract their favorite parts of videos as ROI trajectories through simple and intuitive manipulation of their tablet device. It also enables them to share a recorded trajectory with others after stabilizing it in a manner that should be satisfactory to every user. Using statistical analysis of user manipulations, we have demonstrated an approach to trajectory stabilization that can eliminate undesirable or uncomfortable elements due to tablet-specific manipulations. The system's validity has been confirmed by subjective evaluations.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E97.D.266/_p
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@ARTICLE{e97-d_2_266,
author={Daisuke OCHI, Hideaki KIMATA, Yoshinori KUSACHI, Kosuke TAKAHASHI, Akira KOJIMA, },
journal={IEICE TRANSACTIONS on Information},
title={Stabilization Technique for Region-of-Interest Trajectories Made from Video Watching Manipulations},
year={2014},
volume={E97-D},
number={2},
pages={266-274},
abstract={Due to the recent progress made in camera and network environments, on-line video services enable people around the world to watch or share high-quality HD videos that can record a wider angle without losing objects' details in each image. As a result, users of these services can watch videos in different ways with different ROIs (Regions of Interest), especially when there are multiple objects in a scene, and thus there are few common ways for them to transfer their impressions for each scene directly. Posting messages is currently the usual way but it does not sufficiently enable all users to transfer their impressions. To transfer a user's impressions directly and provide users with a richer video watching experience, we propose a system that enables them to extract their favorite parts of videos as ROI trajectories through simple and intuitive manipulation of their tablet device. It also enables them to share a recorded trajectory with others after stabilizing it in a manner that should be satisfactory to every user. Using statistical analysis of user manipulations, we have demonstrated an approach to trajectory stabilization that can eliminate undesirable or uncomfortable elements due to tablet-specific manipulations. The system's validity has been confirmed by subjective evaluations.},
keywords={},
doi={10.1587/transinf.E97.D.266},
ISSN={1745-1361},
month={February},}
Copy
TY - JOUR
TI - Stabilization Technique for Region-of-Interest Trajectories Made from Video Watching Manipulations
T2 - IEICE TRANSACTIONS on Information
SP - 266
EP - 274
AU - Daisuke OCHI
AU - Hideaki KIMATA
AU - Yoshinori KUSACHI
AU - Kosuke TAKAHASHI
AU - Akira KOJIMA
PY - 2014
DO - 10.1587/transinf.E97.D.266
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2014
AB - Due to the recent progress made in camera and network environments, on-line video services enable people around the world to watch or share high-quality HD videos that can record a wider angle without losing objects' details in each image. As a result, users of these services can watch videos in different ways with different ROIs (Regions of Interest), especially when there are multiple objects in a scene, and thus there are few common ways for them to transfer their impressions for each scene directly. Posting messages is currently the usual way but it does not sufficiently enable all users to transfer their impressions. To transfer a user's impressions directly and provide users with a richer video watching experience, we propose a system that enables them to extract their favorite parts of videos as ROI trajectories through simple and intuitive manipulation of their tablet device. It also enables them to share a recorded trajectory with others after stabilizing it in a manner that should be satisfactory to every user. Using statistical analysis of user manipulations, we have demonstrated an approach to trajectory stabilization that can eliminate undesirable or uncomfortable elements due to tablet-specific manipulations. The system's validity has been confirmed by subjective evaluations.
ER -
English
