Paper
22 March 1996 Spatial scalability in compressed domain
Author Affiliations +
Proceedings Volume 2668, Digital Video Compression: Algorithms and Technologies 1996; (1996) https://doi.org/10.1117/12.235445
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qingwen Hu and Sethuraman Panchanathan "Spatial scalability in compressed domain", Proc. SPIE 2668, Digital Video Compression: Algorithms and Technologies 1996, (22 March 1996); https://doi.org/10.1117/12.235445
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KEYWORDS
Image compression

Video compression

Video

Image quality

Information visualization

Visual compression

Visualization

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