Lossy techniques for motion vector encoding

Mihai Sipitca; Vijay K. Madisetti

doi:10.1117/12.233253

27 February 1996 Lossy techniques for motion vector encoding

Mihai Sipitca, Vijay K. Madisetti

Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233253
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States

Abstract

In this paper we investigate the advantages of using lossy encoding of the motion vectors (MV). This is done in the context of accommodating a larger amount of MV information that results if one uses a smaller size of the macroblock (MB). After estimating the improvement in the displaced frame difference (DFD) variance associated with the decrease of the size of the MB to 8 for salesman QCIF sequence, we look at the lossy DCT performance in the context of rate-distortion trade off. A theoretical argument in favor of the Walsh Hadamard transform is made and the experimental results back up the assumption that it performs better than the DCT. The influence of the size of the kernel is also investigated. A combination of the WHT with lossy techniques imbedded in the MV estimation process that improve the MV field redundancy is proved to perform best for the lossy transform case. Then, we look at VQ encoding of the MVs and the results are compared with the transform case in terms of rate- distortion performance and flexibility.

Citation Download Citation

Mihai Sipitca and Vijay K. Madisetti "Lossy techniques for motion vector encoding", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233253

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available