DocumentCode :
284819
Title :
Segmentation-based coding of motion difference and motion field images for low bit-rate video compression
Author :
Liu, Sam ; Hayes, Monson
Author_Institution :
Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
3
fYear :
1992
fDate :
23-26 Mar 1992
Firstpage :
525
Abstract :
A motion compensated video coding system that minimizes the overall system output bit rate by jointly compressing motion compensated difference (MCD) and motion displacement field (MDF) images is proposed. The MDF constructed from the set of motion vectors is treated as a vector-pixel image and coded to reduce the number of displacement vectors. The bit rates needed to adequately represent MCD and MDF images are interdependent. Thus, for optimal performance a motion compensated coding systems, both MCD and MDF images should be treated as a single unit. Based on the characteristics of these two types of images, a segmentation-based coder is developed. A split-and-merge segmentation algorithm is developed in a graph theoretic context to minimize a coding distortion function. Simulation results have demonstrated excellent performance from this coding system
Keywords :
data compression; image coding; image segmentation; motion estimation; video signals; distortion function minimisation; graph theoretic context; low bit-rate video compression; motion compensated difference images; motion compensated video coding; motion displacement field images; segmentation-based coder; split-and-merge segmentation algorithm; vector-pixel image; Bit rate; Contracts; Decorrelation; Discrete cosine transforms; ISDN; Image coding; Image segmentation; Transform coding; Video compression; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
ISSN :
1520-6149
Print_ISBN :
0-7803-0532-9
Type :
conf
DOI :
10.1109/ICASSP.1992.226160
Filename :
226160
Link To Document :
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