Title
An importance measurement for video and its application to TV news items distillation
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.
Year
DOI
Venue
2004
10.1109/ICIP.2004.1418831
ICIP
Keywords
Field
DocType
semantics,video signal processing,video frames,audio importance measurement,event characteristics,syntax,video importance measurement,feature extraction,video shots,distillation ratios,tv news items distillation,detectable events,audio signal processing,long duration video clips,top down
Computer vision,Video processing,Video capture,Computer science,Feature extraction,PEVQ,Video tracking,Artificial intelligence,Audio signal processing,Video quality,Semantics
Conference
Volume
ISSN
ISBN
1
1522-4880
0-7803-8554-3
Citations 
PageRank 
References 
0
0.34
8
Authors
4
Name
Order
Citations
PageRank
Jin-hau Kuo111610.87
Chin-wei Fang200.34
Jen-huo Yeh300.34
Ja-ling Wu41569168.11