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

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