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이순탁,김종성,강찬미,백중환,Lee Soon-Tak,Kim Jong-Sung,Kang Chan-Mi,Baek Joong-Hwan 한국융합신호처리학회 2005 융합신호처리학회 논문지 (JISPS) Vol.6 No.4
In this paper, we propose a character-based summarization algorithm using speaker identification method from the dialog in video. First, we extract the dialog of shots containing characters' face and then, classify the scene according to actor/actress by performing speaker identification. The classifier is based on the GMM(Gaussian Mixture Model) using the 24 values of MFCC(Mel Frequency Cepstrum Coefficient). GMM is trained to recognize one actor/actress among four who are all trained by GMM. Our experiment result shows that GMM classifier obtains the error rate of 0.138 from our video data.