DocumentCode :
2704811
Title :
Tempo-based MTV-Style Home Video Authoring
Author :
Lee, Shih-Hung ; Wang, Shen-Zheng ; Kuo, C. C Jay
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA
fYear :
2005
fDate :
Oct. 30 2005-Nov. 2 2005
Firstpage :
1
Lastpage :
4
Abstract :
Automatic authoring of MTV-style home video using visual and music tempo analysis is studied in this work. In the proposed system, the input home video is first segmented into shots by low level features such as the color histogram difference. Then, three types of tempo analysis are conducted; namely, music, global visual (the frame level) and local visual (the facial expression level) tempo analysis. For local visual tempo analysis, we propose a scheme to compute the facial tension from a sequence of facial appearance variation. Finally, the authoring methodology is presented, which consists of music and visual tempo matching to product MTV-style video. Experiments are conducted using baby home video with encouraging results obtained
Keywords :
face recognition; image matching; image segmentation; music; video signal processing; MTV-style home video; automatic authoring; home video segmentation; music tempo analysis; visual analysis; visual tempo matching; Algorithm design and analysis; Computer science; Face detection; Histograms; Home computing; Humans; Layout; Pediatrics; Performance evaluation; Video equipment; MTV; home video; tempo analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing, 2005 IEEE 7th Workshop on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9288-4
Electronic_ISBN :
0-7803-9289-2
Type :
conf
DOI :
10.1109/MMSP.2005.248593
Filename :
4014014
Link To Document :
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