Title | ||
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An importance measurement for video and its application to TV news items distillation |
Abstract | ||
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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 |
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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 Kuo | 1 | 116 | 10.87 |
Chin-wei Fang | 2 | 0 | 0.34 |
Jen-huo Yeh | 3 | 0 | 0.34 |
Ja-ling Wu | 4 | 1569 | 168.11 |