Adaptive Hybrid Picture Coding.
Abstract
This report consist of two parts. In part one, a time modified autoregressive model for interframe image coding is presented. This method is compared with previous work in the field of interframe image coding and it is shown that substantial simplifications occur when the nearest integer displacement is taken into account. It is demonstrated that when the between frame noise is minimal and the motion is pure translation or can be modelled by translation, enough information can be extracted from the predictor coefficients to determine the non-integer displacement with small error. In part two, a new concept for examining shapes as vectors in a shape space is described. The shape space is defined in terms of its properties and the importance of the independence of the size variable to the shape vectors, defined on this shape space, is stressed. Also, two theorems helpful in the process of comparing partial shapes to the complete shape are stated and proved. A new method for detecting the points on a shape which appear to dominate visual perception is described. This method, called the Adaptive Line of Sight method detects the dominant points on a shape even though they do not always occur on points of high curvature. With this method, the critical points, or dominant points, of the shape that are determined are based on a set of coordinate axes that are dependent on the shape itself. Therefore, the points determined are independent of size, rotation, or relative displacement.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 05, 1983
- Accession Number
- ADA129221
Entities
People
- Carl D. Bowling
- Richard A. Jones
- Yogendra Tejwani
Organizations
- University of Arkansas