Share Email Print

Proceedings Paper

Spatial scalability in compressed domain
Author(s): Qingwen Hu; Sethuraman Panchanathan
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The large quantity of data associated with visual information necessitates the use of compression techniques. In this paper, we propose a novel approach (compressed domain technique) to implement spatial scalability directly on the compressed image/video data. In contrast to the spatial domain technique (baseline for comparison), the proposed technique removes the unnecessary decompression and re-compression procedures. The computational complexity is greatly reduced by using certain approximations. We note that depending on the image/video content, only marginal quality degradation (almost unnoticeable subjectively) may be introduced. Simulation results confirm the substantial reductions in computational complexity of the proposed technique at a comparable performance to the spatial domain technique.

Paper Details

Date Published: 22 March 1996
PDF: 9 pages
Proc. SPIE 2668, Digital Video Compression: Algorithms and Technologies 1996, (22 March 1996); doi: 10.1117/12.235445
Show Author Affiliations
Qingwen Hu, Univ. of Ottawa (Canada)
Sethuraman Panchanathan, Univ. of Ottawa (Canada)

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