Object based refinement of motion vector fields applying probabilistic homogenization rules

This paper presents a new image analysis method, combining motion estimation and image segmentation. Whereas none of these methods, used on its own, delivers error free meta-information an appropriate combination leads to an orthogonalization of these errors. This method is applied to improve the qu...

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Bibliographic Details
Main Authors: Blume, H., Herczeg, G., Erdler, O., Noll, T.G.
Format: Conference Proceeding
Language:English
Subjects:
Applied sciences
Computer errors
Exact sciences and technology
Image edge detection
Image motion analysis
Image processing
Image quality
Image segmentation
Image texture analysis
Information, signal and communications theory
Modems
Motion estimation
Noise reduction
Signal and communications theory
Signal processing
Signal representation. Spectral analysis
Signal, noise
Telecommunications and information theory
Visualization
Online Access:Request full text
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Description
Summary:This paper presents a new image analysis method, combining motion estimation and image segmentation. Whereas none of these methods, used on its own, delivers error free meta-information an appropriate combination leads to an orthogonalization of these errors. This method is applied to improve the quality of motion vector fields.
DOI:10.1109/ICCE.2002.1014056