DocumentCode :
432536
Title :
An importance measurement for video and its application to TV news items distillation
Author :
Kuo, Jin-Hau ; Fang, Chin-Wei ; Yeh, Jen-Hao ; WU, JA-LING
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume :
1
fYear :
2004
fDate :
24-27 Oct. 2004
Firstpage :
621
Abstract :
The paper presents a method to distill the important frames and shots from long duration video clips. It is based on a voluntary choice by the subject (i.e. a top down approach). First, we introduce the concept of importance measurement. We use some predefined detectable events to represent the importance inferred from the semantics of the syntax. Since the event characteristics depend largely on the video sources, we choose news program videos as our analyzing focus. Then we calculate the importance measurement of frames and shots, respectively. Experiments show that a good subjective test result for news items distillation can be obtained, and the average distillation ratios of frames and shots are 13.18% and 41.23%, respectively.
Keywords :
audio signal processing; feature extraction; video signal processing; TV news items distillation; audio importance measurement; detectable events; distillation ratios; event characteristics; long duration video clips; semantics; syntax; video frames; video importance measurement; video shots; Application software; Computer science; Focusing; Humans; Laboratories; Multimedia communication; Streaming media; TV; Testing; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-8554-3
Type :
conf
DOI :
10.1109/ICIP.2004.1418831
Filename :
1418831
Link To Document :
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