Title :
Vector quantization of affine motion models
Author :
Jiandong Shen ; Wai-Yip Chan
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Abstract :
This paper presents an efficient motion compensation algorithm for low bit rate video coding. The motion field is modelled as a block-segmented affine motion field. Affine motion parameter estimation and quantization are performed in one step by searching a static VQ codebook. The codebook is designed using a GLA-like algorithm to minimize the motion compensation error. Furthermore, variable block size is used to allow more flexible bit allocation between motion coding and prediction error coding. Simulations on various test sequences show 0.8-2.0 dB PSNR gain over H.263 with advanced prediction mode enabled.
Keywords :
image sequences; motion compensation; motion estimation; rate distortion theory; vector quantisation; video coding; GLA-like algorithm; PSNR gain; affine motion models; affine motion parameter estimation; block-segmented affine motion field; flexible bit allocation; low bit rate video coding; motion coding; motion compensation algorithm; prediction error coding; static VQ codebook; test sequences; variable block size; vector quantization; Algorithm design and analysis; Bit rate; Gain; Motion compensation; PSNR; Parameter estimation; Predictive models; Testing; Vector quantization; Video coding;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.822971
