Motion modeling and video processing

Knowledge of motion fields is crucial to several applications such as video coding, image scene analysis and noise reduction. Estimation of this field is frequently done using constraints such as smoothness deduced from physical considerations of the process generating the video. Smoothness of motion is a qualitative statement regarding local relationships of elements of this field. In this work, our primary focus is on quantitatively modeling the relationships between elements of the motion field at spatial neighborhoods of pixels and in filtering of motion. These are accomplished by generalizing popular techniques in statistical signal processing--autoregressive (AR) models and moving average (MA) filtering. First, we show an equivalence between estimates from AR models (output of MA filtering) to the solution of a weighted least squares problem. This least squares problem is then generalized to enable modeling (filtering) of motion fields. Our AR model for motion is significantly different from previous approaches in that instead of computing motion at a pixel as a linear combination of motion at a spatial neighborhood of pixels, we compute the motion at a pixel using the observable data (i.e., pixel intensities) directly. An extension of this temporal AR model to a joint spatiotemporal model is also presented. Applications to interframe estimation reveal that interframe prediction accuracy is improved over previous methods by as much as 37%.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Rajagopalan, Rajesh

Contributors dc:contributor

• Orchard, Michael T.

• Engineering, Electronics and Electrical

Statement dc:rights

• Copyright 1996 Rajagopalan, Rajesh

Language dc:language

eng

Identifier

9780591200416
AAI9712412
(UMI)AAI9712412

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/22674