Court-Based Volleyball Video Summarization Focusing on Rally Scene

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

In this paper, we propose a video summarization system for volleyball videos. Our system automatically detects rally scenes as self-consumable video segments and evaluates rally-rank for each rally scene to decide priority. In the priority decision, features representing the contents of the game are necessary; however such features have not been considered in most previous methods. Although several visual features such as the position of a ball and players should be used, acquisition of such features is still non-robust and unreliable in low resolution or low frame rate volleyball videos. Instead, we utilize the court transition information caused by camera operation. Experimental results demonstrate the robustness of our rally scene detection and the effectiveness of our rally-rank to reflect viewers' preferences over previous methods.

本文言語English
ホスト出版物のタイトルProceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017
出版社IEEE Computer Society
ページ179-186
ページ数8
ISBN(電子版)9781538607336
DOI
出版ステータスPublished - 2017 8月 22
イベント30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 - Honolulu, United States
継続期間: 2017 7月 212017 7月 26

出版物シリーズ

名前IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
2017-July
ISSN(印刷版)2160-7508
ISSN(電子版)2160-7516

Other

Other30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017
国/地域United States
CityHonolulu
Period17/7/2117/7/26

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学

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