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Titolo:
Automatic shot change detection algorithm using multi-stage clustering forMPEG-compressed videos
Autore:
Song, BC; Ra, JB;
Indirizzi:
Korea Adv Inst Sci & Technol, Dept Elect Engn & Comp Sci, Taejon 305701, South Korea Korea Adv Inst Sci & Technol Taejon South Korea 305701 5701, South Korea
Titolo Testata:
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
fascicolo: 3, volume: 12, anno: 2001,
pagine: 364 - 385
SICI:
1047-3203(200109)12:3<364:ASCDAU>2.0.ZU;2-B
Fonte:
ISI
Lingua:
ENG
Keywords:
video classification; shot change detection; cut, fade, dissolve; feature extraction; MPEG-compressed videos; k-means clustering;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
21
Recensione:
Indirizzi per estratti:
Indirizzo: Song, BC Korea Adv Inst Sci & Technol, Dept Elect Engn & Comp Sci, Taejon 305701, South Korea Korea Adv Inst Sci & Technol Taejon South Korea 305701 th Korea
Citazione:
B.C. Song e J.B. Ra, "Automatic shot change detection algorithm using multi-stage clustering forMPEG-compressed videos", J VIS C IM, 12(3), 2001, pp. 364-385

Abstract

Automatic shot change detection has been recognized as an important research issue for video classification. This paper proposes an automatic clustering-based algorithm for shot change detection in MPEG-compressed videos with a small number of user-defined parameters. For accurate detection of abrupt and gradual shot changes, the proper selection and extraction of features are important. We first propose a fast edge image extraction scheme in the DCT domain on the basis of AC prediction. Then, by using the features extracted from the edge images and DC images, a two-stage clustering-based algorithm is proposed for shot change detection. In the first stage, the algorithm detects abrupt shot changes by employing two-means clustering on the 2-D feature space of histogram and pixel differences between two neighboringDC frames. In the next stage, it subsequently explores gradual shot changes between two adjacent abrupt shot changes by performing a two-step clustering scheme, which uses multiple features such as an edge energy diagram andseveral frame difference measures. Simulation results show that the proposed algorithm is fast and accurate. (C) 2001 Academic Press.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 31/03/20 alle ore 16:27:00