Soccer video summarization using enhanced logo detection

We propose an automatic soccer video summarization engine which relies on an improved algorithm for the detection of replay shots which delineate interesting events. Video shots are first detected using dominant color and histogram intersection methods. Replay shots are detected using an improved te...

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Bibliographic Details
Main Authors: Eldib, M.Y., Zaid, B., Zawbaa, H.M., El-Zahar, M., El-Saban, M.
Format: Conference Proceeding
Language:English
Subjects:
Bayesian methods
Engines
Event detection
event detection in soccer video
Gunshot detection systems
Hidden Markov models
Histograms
Information technology
Multimedia communication
replay detection
soccer video summarization
Testing
Watches
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Description
Summary:We propose an automatic soccer video summarization engine which relies on an improved algorithm for the detection of replay shots which delineate interesting events. Video shots are first detected using dominant color and histogram intersection methods. Replay shots are detected using an improved technique, then processed through a set of mid-level descriptors (goal-mouth and score board with other cinematic features) and finally fed into a rule-based classifier. The proposed summarization has been experimentally tested on 6 hours from 10 videos in total. The proposed logo-based replay detection technique achieves 100% recall with 96.3% precision. Interesting events such as goals are detected with 100% recall and 100% precision, attacks with 91.7% recall and 86.7% precision and other events such as (fouls, free kicks etc) with 90.8% recall and 95% precision.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2009.5413649