Soccer event detection via collaborative multimodal feature analysis and candidate ranking
Joint Authors
Abd al-Halim, Alfian
Rajeswari, Mandava
Najad, Muhammad Abbas
Source
The International Arab Journal of Information Technology
Issue
Vol. 10, Issue 5 (30 Sep. 2013)10 p.
Publisher
Publication Date
2013-09-30
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Topics
Abstract EN
this paper present a framework for soccer event detection through collaborative analysis of the textual, visual and aural modalities.
The basic notion is to decompose a match video into smaller segments until ultimately the desired eventful segment is identified.
Simple features are considered namely the minute-by-minute reports from sports websites (i.
e.
text), the semantic shot classes of far and closeup-views (i.
e.
visual), and the low-level features of pitch and log-energy (i.
e.
audio).
The framework demonstrates that despite considering simple features, and by averting the use of labeled training examples, event detection can be achieved at very high accuracy.
Experiments conducted on ~30-hours of soccer video show very promising results for the detection of goals, penalties, yellow cards and red cards.
American Psychological Association (APA)
Abd al-Halim, Alfian& Rajeswari, Mandava& Najad, Muhammad Abbas. 2013. Soccer event detection via collaborative multimodal feature analysis and candidate ranking. The International Arab Journal of Information Technology،Vol. 10, no. 5.
https://search.emarefa.net/detail/BIM-311874
Modern Language Association (MLA)
Abd al-Halim, Alfian…[et al.]. Soccer event detection via collaborative multimodal feature analysis and candidate ranking. The International Arab Journal of Information Technology Vol. 10, no. 5 (Sep. 2013).
https://search.emarefa.net/detail/BIM-311874
American Medical Association (AMA)
Abd al-Halim, Alfian& Rajeswari, Mandava& Najad, Muhammad Abbas. Soccer event detection via collaborative multimodal feature analysis and candidate ranking. The International Arab Journal of Information Technology. 2013. Vol. 10, no. 5.
https://search.emarefa.net/detail/BIM-311874
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references.
Record ID
BIM-311874