Integrated segmentation approach for video coding

Cassandra T. Swain; Tsuhan Chen

doi:10.1117/12.263237

10 January 1997 Integrated segmentation approach for video coding

Cassandra T. Swain, Tsuhan Chen

Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263237
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

This paper presents an integrated approach to segmenting moving foreground, where the moving foreground is of most interest to the viewer. Multiple cues are used-focus, intensity, and motion-in a two-layered neural network. Focus and motion measurements are taken from high frequency data, edges; whereas, intensity measurements are taken from low frequency date, object interiors. Combined, these measurements are used to segment a complete object. Results indicate that moving foreground can be segmented from stationary foreground and moving or stationary background. The neural network segments the entire object, both interior and exterior, in this integrated approach. Results also demonstrate that combining cues allows flexibility in both type and complexity of scenes. Integration of cues improves accuracy in segmenting complex scenes containing both moving foreground and background. Good segmentation yields bitrate savings when coding the object of interest, also called the video object in MPEG4. Our method combines simple measurements to increase segmentation robustness.

Citation Download Citation

Cassandra T. Swain and Tsuhan Chen "Integrated segmentation approach for video coding", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263237

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