Semantic Event Detection in Baseball Videos
Date Issued
2004
Date
2004
Author(s)
Liang, Chih-Hao
DOI
en-US
Abstract
We can easily capture and use the digital content since the high-speed network and the digital devices have appeared and get popular. The huge amount of digital content causes the users much of time and many of spaces to deal with them. Therefore, how to effectively use the information contained in the digital content and establish an efficient content management tool is an important issue. Powerful tools will appeal users to use the digital content frequently and help them save much time. The primary step to establish an useful management tool is based on the understanding of the characteristics of digital content.
Sports program is one of the most popular programs and the interesting segments always appeal a lot of audiences to collect. A huge number of sports videos spread over the networks and occupy much storage space in the digital devices. The summaries of videos can provide users previews and reduce the burdens of downloading redundant videos. If the digital content management tools can analyze the videos and establish a well-defined video index, users can review and store the videos more effectively.
The focus of this thesis is on the analysis and application of baseball videos. We propose some methods to detect meaningful baseball events in the videos. The event-contained segments are the most interesting subjects in the videos, and the events also reflect the progresses of the game.
Subjects
棒球
意義
事件
影片
event
semantic
video
baseball
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-93-R91922014-1.pdf
Size
23.31 KB
Format
Adobe PDF
Checksum
(MD5):6aafbdd4966cbb87c5a8180573a97d05