Region-based video coder using edge flow segmentation and hierarchical affine region matching

Debargha Mukherjee; Yining Deng; Sanjit K. Mitra

doi:10.1117/12.298344

9 January 1998 Region-based video coder using edge flow segmentation and hierarchical affine region matching

Debargha Mukherjee, Yining Deng, Sanjit K. Mitra

Proceedings Volume 3309, Visual Communications and Image Processing '98; (1998) https://doi.org/10.1117/12.298344
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

The essential motivations, towards an object-based approach to video coding, include possible object-based coding scheme. In this work we present an region-based video coder which uses a segmentation map obtained from the previous reconstructed frame, thereby eliminating the need to transmit expensive shape information to the decoder. While the inspiration for this work is derived from previous work by Yokoyama et al, there are major differences between our work and the earlier effort, in the segmentation scheme employed, the motion model, and the handling of overlapped and uncovered regions. We use an edge flow based segmentation scheme, which appears to produce consistent segmentation results over a variety of natural images. Since it combines luminance, chrominance and texture information for image segmentation, it is well suited to segment real world images For motion compensation, we choose an affine model, and use hierarchical region-matching for accurate affine parameter estimation. Heuristic techniques are used to eliminate overlapped and uncovered regions after motion compensation. Extensive coding results of our implementation are presented.

Citation Download Citation

Debargha Mukherjee, Yining Deng, and Sanjit K. Mitra "Region-based video coder using edge flow segmentation and hierarchical affine region matching", Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); https://doi.org/10.1117/12.298344

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