Title :
Dense motion field reduction for motion estimation
Author :
Deever, Aaron ; Hemami, Sheila S.
Author_Institution :
Center for Appl. Math., Cornell Univ., Ithaca, NY, USA
Abstract :
A new approach to motion estimation/compensation is presented that uses a morphological pyramidal representation of a dense motion field. The dense field is reduced and coded in a rate-distortion-optimized fashion, in that the compensated frame produced by the encoded motion for a given number of bits minimizes the energy of the residual frame. Relative to standard block-based techniques, the resulting compensated frames are of higher quality while the motion provides a better representation of "true" motion. Additionally, the motion representation delineates objects well. As such, this technique is useful in low-rate applications and in forthcoming object-based techniques.
Keywords :
image representation; mathematical morphology; motion compensation; motion estimation; rate distortion theory; video coding; compensated frames; dense motion field reduction; encoded motion; low-rate applications; morphological pyramidal representation; motion compensation; motion estimation; motion representation; object-based techniques; rate-distortion optimisation; residual frame; video compression; Image motion analysis; Layout; Mathematics; Maximum likelihood detection; Motion compensation; Motion estimation; Nonlinear filters; Optical filters; Sampling methods; Video compression;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.751402