Paper
10 January 1997 MPEG-2/ECVQ look-ahead hybrid quantization and spatially scalable coding
Sadik D. Bayrakeri, Russell M. Mersereau
Author Affiliations +
Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263209
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Abstract
In this paper, a nonlinear approach to spatially scalable coding is developed. Within the context of the MPEG-2 scalable syntax, various decimation and prediction schemes are discussed for the interlaced and progressive format video processing. A novel spatio-temporal video interpolation technique is presented, which is used as the basic unit in the prediction schemes. In addition to the considerable scalability techniques, a lookahead quantization scheme is introduced for P- and B-type picture coding. The new quantization scheme results in further performance improvement by selective combination of the DCT domain scalar quantization and the spatial domain entropy- constrained vector quantization. The performance of the proposed scalable scheme is compared with that of the simulcast technique and the single layer coding. Remarkable performance improvement over the simulcast coding is achieved. While spatial scalability involves multi-layer coding, the new scalable scheme also achieves comparable or better performance that the single layer coding.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sadik D. Bayrakeri and Russell M. Mersereau "MPEG-2/ECVQ look-ahead hybrid quantization and spatially scalable coding", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263209
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication and 2 patents.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Video

Scalable video coding

Quantization

Temporal resolution

Image resolution

Computer programming

Motion estimation

Back to Top