Automatic multi-level summarizations generation based on basic semantic unit for sports video

Authors:
Chen Jianyun;Zhao Xinyu;Duan Miyi;Wu Tingting;Lao Songyang
Affiliations:
Beijing Institute of Graphics, PRC;Beijing Institute of Graphics, PRC;Beijing Institute of Graphics, PRC;Beijing Institute of Graphics, PRC;National University of Defense and Technology, Changsha, PRC
Venue:
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Year:
2006

Citing 4
Cited 0

Structure analysis of soccer video with domain knowledge and hidden Markov models

Pattern Recognition Letters - Video computing
Automatic replay generation for soccer video broadcasting

Proceedings of the 12th annual ACM international conference on Multimedia
Unsupervised soccer video abstraction based on pitch, dominant color and camera motion analysis

Proceedings of the 12th annual ACM international conference on Multimedia
Detection of slow-motion replay segments in sports video for highlights generation

ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03

Quantified Score

Hi-index	0.00

Visualization

Abstract

Sports video has been widely studied due to its tremendous commercial potentials. Despite encouraging results from various specific sports games, it is almost impossible to extend a summarization system for a new sports game due to the lack of sports video modeling. In this paper, we automatically generate multi-level summarizations for sports video based on Basic Semantic Unit (BSU), which is specially presented for sports video and can be extended to a new sports game. The results of the preliminary experiments indicate that our work provides a generic, novel and effective solution for automatic multi-level sports video summarizations.