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