DocumentCode
296108
Title
Low bit rate coding of image sequences using neural networks
Author
Kalogeras, Dimitrios ; Kollias, Stefanos
Author_Institution
Div. of Comput. Sci., Nat. Tech. Univ. of Athens, Greece
Volume
4
fYear
1995
fDate
Nov/Dec 1995
Firstpage
1708
Abstract
Neural networks are proposed in this paper as an efficient means for extending international image image sequence coding standards to achieve low bit rates for transmission in modern communication systems. In particular a structured neural network architecture is proposed for adaptively selecting regions of interest (ROI) in the images to be coded; high compression is obtained by using different quantization in each selected region region category. Simulation results illustrate the performance of the technique using videoconference sequences
Keywords
image coding; image sequences; learning (artificial intelligence); neural net architecture; neural nets; international image image sequence coding standards; low bit rate coding; modern communication syste; neural networks; structured neural network architecture; videoconference sequences; Bit rate; Head; Image coding; Image reconstruction; Image sequences; Layout; Neural networks; Quantization; Video compression; Videoconference;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2768-3
Type
conf
DOI
10.1109/ICNN.1995.488877
Filename
488877
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