Share Email Print

Proceedings Paper

Edge-based block matching technique for video motion estimation
Author(s): Richard Y. Han; Avideh Zakhor
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

An important part of most video compression techniques is displacement vector estimation, which in many situations is achieved by Block Matching Algorithms (BMA). Traditional BMA uses costly integer arithmetic on 8-bit images to minimize a Mean Absolute Error (MAE) criterion that determines the displacement estimate. In this paper, we present an approach for motion estimation based on binary edge images. Specifically, we assign an intensity gradient vector to each edge pixel and apply BMA to the gradient vector. Our approach can potentially reduce the complexity of the VLSI implementation of motion estimation algorithms. We present simulation results comparing this technique to traditional BMA over several 50-frame sequences.

Paper Details

Date Published: 1 June 1991
PDF: 14 pages
Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); doi: 10.1117/12.45399
Show Author Affiliations
Richard Y. Han, Univ. of California/Berkeley (United States)
Avideh Zakhor, Univ. of California/Berkeley (United States)

Published in SPIE Proceedings Vol. 1452:
Image Processing Algorithms and Techniques II
Mehmet Reha Civanlar; Sanjit K. Mitra; Robert J. Moorhead, Editor(s)

© SPIE. Terms of Use
Back to Top