Title :
Multi-resolution motion estimation
Author :
Conklin, Gregory J. ; Hemami, Sheila S.
Author_Institution :
Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
Abstract :
Spatial multi-resolution video sequences provide video at multiple frame sizes, allowing extraction of only the resolution or bit rate required by the user. This paper proposes fine-to-coarse motion estimation (ME) for multi-resolution video coding. While coarse-to-fine ME, used in previously proposed coding themes, can provide a better estimate at the coarsest resolution, it is outperformed by fine-to-coarse ME at finer resolutions due to the inability of coarse-to-fine ME to accurately track motion at finer resolutions. At the finest resolution, fine-to-coarse ME provides a PSNR improvement of up to 1 dB, for the sequences tested, and better visual quality at all resolutions. In addition, fine-to-coarse ME provides more accurate and thus more compressible motion estimates
Keywords :
data compression; image resolution; image sequences; motion estimation; video coding; PSNR; bit rate; compressible motion estimates; fine to coarse motion estimation; multiple frame sizes; multiresolution motion estimation; multiresolution video coding; spatial multiresolution video sequences; visual quality; Bit rate; Decoding; Delay; Motion estimation; Signal resolution; Spatial resolution; Tracking; Video coding; Video compression; Video sequences;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.595389