shot detection using image subtraction and histogram
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Shot detection using image subtraction and histogram comparison
Tran Quang AnhTran Thuong KhanhBui Ngo Da ThaoPham The Bao
Faculty of Mathematics and Computer Science University of Science, VNUHCM
Introduction Our solution Result Conclusion
Content
Introduction
Shot boundary
Shot BShot A
Using histogram ◦ Temporal color variation [1]
Using Non-histogram◦ Feature point [2]
Approaches
1. Jordi Mas, GarielFrenadez,Video shot boundary detection based on color histogram, Proceedings of the TRECVid Workshop, Gaithersburg, Maryland USA, 2003
2. Yousri Abdeljaoued, Touradj Ebrahimi, Charilaos Christopoulos2and Ignacio Mas Ivars, Proceeding of European Signal Processing Conference 1998
Our Solution
General idea
Frame A+b
Frame AImage
subtraction
HistogramComparison
One shot
Two shots
Image Subtraction
Frame A Frame B
Result Image
Histogram comparison
Histogram of frame A Histogram of frame B
ResultWe test base on database volume : 250GB include many kinds of videoComputer configuration : Core 2 Duo 2.2GHz , 3GB Ram, Win 7.Pro with Matlab version 2009Ra
Database Number of frames
Time Correct ratio Incorrect ratio
250GB 60 342 857 frames
1462857s 61% 39%
Conlucsion
Fast and simple solutionHigh accuracy with abrupt detection and some dissolve shot detections.
Having some error in dissolve detection .Having false shot.
Improving redundant detection. Building new methods
Future work
THANK YOU FOR YOUR ATTENTION
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