Share Email Print

Proceedings Paper

Motion vector estimation using spatiotemporal prediction and its application to video coding
Author(s): Robert M. Armitano; Ronald W. Schafer; Frederick L. Kitson; Bhaskaran Vasudev
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Block based motion estimation is an efficient interframe predictor, making it an important component in video coding schemes. A significant portion of a video codec's computational budget however, is allocated to the task of computing motion vectors. For low bit-rate video coding applications such as teleconferencing, motion vector information occupies a substantial percentage of the available channel bandwidth. In this paper we present a method that accelerates motion vector computation by using spatio-temporal prediction to bias the search (in a statistical sense) towards the most probable direction of the motion using object trajectories from previously computed frames. Furthermore, since the motion vectors are linearly predicted, they can be coded efficiently. Linear predictive motion vector coding compares favorably to other motion estimation methods and can be incorporated within existing video compression standards.

Paper Details

Date Published: 22 March 1996
PDF: 12 pages
Proc. SPIE 2668, Digital Video Compression: Algorithms and Technologies 1996, (22 March 1996); doi: 10.1117/12.235424
Show Author Affiliations
Robert M. Armitano, Georgia Institute of Technology (United States)
Ronald W. Schafer, Georgia Institute of Technology (United States)
Frederick L. Kitson, Hewlett-Packard Labs. (United States)
Bhaskaran Vasudev, Hewlett-Packard Labs. (United States)

Published in SPIE Proceedings Vol. 2668:
Digital Video Compression: Algorithms and Technologies 1996
Vasudev Bhaskaran; Frans Sijstermans; Sethuraman Panchanathan, Editor(s)

© SPIE. Terms of Use
Back to Top