Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/14402
Title: Event detection in soccer video based on audio/visual keywords
Authors: KANG YULIN
Keywords: Video Indexing Event Detection Shot Classification
Issue Date: 2-Dec-2004
Source: KANG YULIN (2004-12-02). Event detection in soccer video based on audio/visual keywords. ScholarBank@NUS Repository.
Abstract: In this thesis, we propose a multi-modal two-level event detection framework and demonstrate it on soccer videos. We use a mid-level representation called Audio and Visual Keyword (AVK) that can be learned and detected in video segments. AVKs are intended to summarize the video segment in the text form and each of them has its semantic meaning. In our thesis, nine visual keywords and three audio keywords are defined and classified to facilitate highlight detection in soccer videos. Based on AVK, a two-level computational system that realizes the framework achieves good performance on soccer video event detection.
URI: http://scholarbank.nus.edu.sg/handle/10635/14402
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
thesis.pdf2.1 MBAdobe PDF

OPEN

NoneView/Download

Page view(s)

196
checked on Dec 2, 2017

Download(s)

220
checked on Dec 2, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.