DocumentCode :
2029672
Title :
Efficient quadtree coding of images and video
Author :
Sullivan, Gary J. ; Baker, Richard L.
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
fYear :
1991
fDate :
14-17 Apr 1991
Firstpage :
2661
Abstract :
The authors describe the theory needed to construct quadtree data structures which optimally allocate rate, given a set of quantizers. A Lagrange multiplier method finds these optimal rate allocations with no monotonicity restrictions. The theory is used to derive a new quadtree construction method which uses a stepwise search to find the overall optimal quadtree structure. The search can be driven with either actual measured quantizer performance or ensemble average predicted performance. This theory is then applied to the design of an interframe hybrid video coding system using a quadtree with vector quantization
Keywords :
data compression; encoding; picture processing; trees (mathematics); video signals; Lagrange multiplier method; ensemble average predicted performance; interframe hybrid video coding system; measured quantizer performance; optimal rate allocations; quadtree coding; quadtree data structures; stepwise search; vector quantization; video coding; Costs; Data structures; Distortion measurement; Image analysis; Image coding; Image segmentation; Image storage; Lagrangian functions; Vector quantization; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
ISSN :
1520-6149
Print_ISBN :
0-7803-0003-3
Type :
conf
DOI :
10.1109/ICASSP.1991.150949
Filename :
150949
Link To Document :
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