A Highlight Extraction and Classification Scheme for Baseball Video

• Main Authors: Chi-Heng Lan, 藍啟恆
• Other Authors: Po-Chyi Su
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/44970043853095230475

碩士 === 國立中央大學 === 資訊工程研究所 === 97 === This　paper　presents　a　practical　highlight　extraction　and　classification　schemes　for　baseball　videos.　The　approach　relies　on　precise　detections　of　transition　effects　inserted　at　the　beginning　and　the　end　of　the　replays　in　the　game,　which　demonstrate　the　game　highlights.　It　is　worth　noting　that　the　complexity　of　the　highlight　extraction　procedure　should　be　limited　since　it　is　an　auxiliary　function　of　a　digital　video　recorder.　Therefore,　in　the　proposed　system,　the　features　of　MPEG　compressed　videos　are　used　for　subsequent　processing　to　archive　efficiency.　The　properties　of　transition　effects　are　exploited　so　that　the　effects　can　be　accurately　retrieved　for　locating　the　video　segments　of　replays.　Next,　the　pitching　view,　which　is　the　starting　point　of　every　play　in　baseball　games,　will　be　extracted　via　Support　Vector　Machine　(SVM).　The　contents　of　the　play　can　then　be　analyzed　and　classified　to　determine　their　types　or　exciting　levels.　We　classify　the　extracted　highlight　segments　by　using　Hidden　Markov　model　(HMM).　Experimental　results　show　that　the　accuracy　is　good　enough　to　achieve　the　practical　highlight　extraction　for　baseball　videos.