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Scene Change Detection Algorithm for H.264 using Dynamic Threshold and Fast Motion Estimation Algorithm based on PSO
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 12 - Number 12 |
| Year of Publication: 2011 |
| Authors: S. Sreekanth, G.Hari Krishn, G.V.R. Sagar |
10.5120/1739-2364
|
S. Sreekanth, G.Hari Krishn, G.V.R. Sagar . Scene Change Detection Algorithm for H.264 using Dynamic Threshold and Fast Motion Estimation Algorithm based on PSO. International Journal of Computer Applications. 12, 12 ( January 2011), 7-12. DOI=10.5120/1739-2364
Abstract
The Most of the existed scene change detection algorithms use fixed thresholds for finding the scene change. These thresholds are obtained by empirically or they must be calculated before the detection after the whole sequence is obtained. If Videos having high scene complexity and variation, then the Performance of most scene change algorithms decreases considerably. In this paper, we study the correlation between local statistical characteristics, scene duration and scene change. Based on this analysis, we further propose and implement a scene change algorithm for H.264 codec, defining an automated, dynamic threshold model with fast motion estimation algorithm with low complexity which can efficiently trace scene changes.
References
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