JOINT OPTIMIZATION OF REPRESENTATION MODEL AND FRAME SEGMENTATION FOR GENERIC VIDEO COMPRESSION

被引:13
作者
REUSENS, E
机构
[1] Signal Processing Laboratory, Swiss Federal Institute of Technology
关键词
MULTIMODEL REPRESENTATION; OPTIMAL RESOURCES ALLOCATION; GENERICITY;
D O I
10.1016/0165-1684(95)00075-O
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper describes a new image sequence compression system capable of efficiently representing any type of visual data at very low bit-rate. The coder presents a flexible structure open to evolution. Thanks to a perfect rate and frame quality control, buffer regulation issue is solved. The technique relies on the joint optimization of two degrees of freedom, namely adaptive representation model and adaptive frame support partition. Optimization is performed in a rate-distortion sense and is based on the theory of optimal resources allocation. System performances are evaluated in a particular environment, namely at very low bit-rate in the framework of video-telephony applications. Simulation results demonstrate the efficiency of the system over bit-rates ranging from 4.6 to 32 kbit/s.
引用
收藏
页码:105 / 117
页数:13
相关论文
共 11 条
[1]  
Barnsley, Fractals Everywhere, (1988)
[2]  
Everett, Generalized lagrange multiplier method for solving problems of optimum allocation of ressources, Operations Research, 11, pp. 399-417, (1963)
[3]  
Gray, Source Coding Theory, (1990)
[4]  
Huang, Schultheiss, Block quantization of correlated gaussian random variables, IEEE Transactions on Communications, 11 CS, pp. 289-296, (1963)
[5]  
Jacquin, Image coding based on a fractal theory of iterated contractive image transformations, IEEE Trans. Image Process., 1, pp. 18-30, (1992)
[6]  
Kaufman, Rousseeuw, Finding Groups in Data, (1990)
[7]  
Press, Teukolsky, Vetterling, Flannery, Numerical Recipes in C: The Art of Scientific Computing, (1992)
[8]  
Ramchandran, Vetterli, Best wavelet packet bases using rate-distortion criteria, IEEE Internat. Symp. on Circuits and Systems, 2, pp. 971-974, (1992)
[9]  
Segall, Bit allocation and encoding for vector sources, IEEE Transactions on Information Theory, 22 IT, 2, pp. 162-169, (1976)
[10]  
Shoham, Gersho, Efficient bit allocation for an arbitrary set of quantizers, IEEE Trans. Acoust. Speech Signal Process., 36, 9, pp. 1445-1453, (1988)