Share Email Print
cover

Proceedings Paper

Adaptive embedding for reduced-complexity image and video compression
Author(s): Charles D. Creusere
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

An embedded coding algorithm crates a compressed bit stream which can be truncated to produce reduced resolution versions of the original image. This property allows such algorithms to precisely achieve fixed bit rates, reducing or eliminating the need for rate control in video transmission applications. Furthermore, embedded bit streams have a certain degree of innate error resistance and can also be used to facilitate unequal error protection. Unfortunately, embedded compression algorithms are relatively slow. In this paper, we introduce the concept of adaptive embedding in an effort to address this problem. Such embedding increases the speed of the algorithm by reducing the number of separate resolution layers contained within the bit stream. Since it is often impossible to effectively use the many layers created by existing embedded coders, sacrificing some of them to speed up the processing may be quite acceptable. We show here that adaptive embedding increase execution speed by 28 percent for fixed-rate video compression with only a 2 percent reduction in rate-distortion performance. Finally, we also introduce an alternate form of lossless compression which increases execution speed by another 6-10 percent at the expense of reconstruction quality.

Paper Details

Date Published: 9 January 1998
PDF: 10 pages
Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); doi: 10.1117/12.298361
Show Author Affiliations
Charles D. Creusere, Naval Air Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 3309:
Visual Communications and Image Processing '98
Sarah A. Rajala; Majid Rabbani, Editor(s)

© SPIE. Terms of Use
Back to Top