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SeminarKonstantinos Ioannidis and Ioannis AndreadisIEEE TRANSACTIONS on Instrumentation And Measurement, VOL. 61, NO. 9, SEPTEMBER 2012Presented byShibudas K Subhashdas1/22IntroductionAn innovative technique for digital image stabilization (DIS) based on the Hilbert Huang transform (HHT)IntroductionProposed method in a NutshellLocal Motion Vector (LMV) EstimationHilbert Huang Transform( HHT)Empirical Mode Decomposition (EMD) processHilbert TransformDetect the unwanted Camera MotionExperimental ResultsConclusion
2/22
2Proposed method in a NutshellLocal Motion Vector (LMV) EstimationHilbert Huang Transform ( HHT)Empirical Mode Decomposition (EMD) processHilbert TransformDetect the unwanted Camera Motion
IntroductionProposed method in a NutshellLocal Motion Vector (LMV) EstimationHilbert Huang Transform( HHT)Empirical Mode Decomposition (EMD) processHilbert TransformDetect the unwanted Camera MotionExperimental ResultsConclusion
3/22Local Motion Vector (LMV) EstimationLMV represents the offset of specific image regions between two consecutive images (displacement vector)LMV includes intentional and unwanted motion of the cameraBlock based motion estimation used in LMV
IntroductionProposed method in a NutshellLocal Motion Vector (LMV) EstimationHilbert Huang Transform( HHT)Empirical Mode Decomposition (EMD) processHilbert TransformDetect the unwanted Camera MotionExperimental ResultsConclusion
4/22Local Motion Vector (LMV) EstimationThe criteria for selecting the best match is sum of absolute difference (SAD)
S(0,0)S(0,1)S(1,0)S(1,1)Current FrameIntroductionProposed method in a NutshellLocal Motion Vector (LMV) EstimationHilbert Huang Transform( HHT)Empirical Mode Decomposition (EMD) processHilbert TransformDetect the unwanted Camera MotionExperimental ResultsConclusion
5/22Previous FrameLocal Motion Vector (LMV) EstimationMinimum SAD value defines the displacement vector
Full search (FS) algorithm is used in this method
IntroductionProposed method in a NutshellLocal Motion Vector (LMV) EstimationHilbert Huang Transform( HHT)Empirical Mode Decomposition (EMD) processHilbert TransformDetect the unwanted Camera MotionExperimental ResultsConclusion
6/22Local Motion Vector (LMV) EstimationComparison of Full search (FS) algorithm with other search method
three step search algorithmFour step search algorithmDiamond search algorithmIntroductionProposed method in a NutshellLocal Motion Vector (LMV) EstimationHilbert Huang Transform( HHT)Empirical Mode Decomposition (EMD) processHilbert TransformDetect the unwanted Camera MotionExperimental ResultsConclusion
7/22Local Motion Vector (LMV) EstimationUsing LMV estimation - x(t) (displacement vector)
IntroductionProposed method in a NutshellLocal Motion Vector (LMV) EstimationHilbert Huang Transform( HHT)Empirical Mode Decomposition (EMD) processHilbert TransformDetect the unwanted Camera MotionExperimental ResultsConclusion
8/22Hilbert Huang Transform ( HHT)
Empirical Mode Decomposition (EMD) process
IntroductionProposed method in a NutshellLocal Motion Vector (LMV) EstimationHilbert Huang Transform( HHT)Empirical Mode Decomposition (EMD) processHilbert TransformDetect the unwanted Camera MotionExperimental ResultsConclusion
9/22Hilbert Huang Transform ( HHT)
Empirical Mode Decomposition (EMD) process
IntroductionProposed method in a NutshellLocal Motion Vector (LMV) EstimationHilbert Huang Transform( HHT)Empirical Mode Decomposition (EMD) processHilbert TransformDetect the unwanted Camera MotionExperimental ResultsConclusion
10/22Hilbert Huang Transform ( HHT)
Empirical Mode Decomposition (EMD) process Shifting Process
This will continue until value sum of difference (SD) reaches between 0.2 and 0.3
IntroductionProposed method in a NutshellLocal Motion Vector (LMV) EstimationHilbert Huang Transform( HHT)Empirical Mode Decomposition (EMD) processHilbert TransformDetect the unwanted Camera MotionExperimental ResultsConclusion
11/22Hilbert Huang Transform ( HHT)
Empirical Mode Decomposition (EMD) processIf 0.2