Open Access

Multiresolution Motion Estimation for Low-Rate Video Frame Interpolation

  • Hezerul Abdul Karim1Email author,
  • Michel Bister2 and
  • Mohammad Umar Siddiqi1
EURASIP Journal on Advances in Signal Processing20042004:204158

DOI: 10.1155/S1110865704403060

Received: 22 October 2003

Published: 18 September 2004

Abstract

Interpolation of video frames with the purpose of increasing the frame rate requires the estimation of motion in the image so as to interpolate pixels along the path of the objects. In this paper, the specific challenges of low-rate video frame interpolation are illustrated by choosing one well-performing algorithm for high-frame-rate interpolation (Castango 1996) and applying it to low frame rates. The degradation of performance is illustrated by comparing the original algorithm, the algorithm adapted to low frame rate, and simple averaging. To overcome the particular challenges of low-frame-rate interpolation, two algorithms based on multiresolution motion estimation are developed and compared on objective and subjective basis and shown to provide an elegant solution to the specific challenges of low-frame-rate video interpolation.

Keywords and phrases

low-rate video frame interpolation multiresolution motion estimation

Authors’ Affiliations

(1)
Faculty of Engineering, Multimedia University
(2)
Division of Engineering, The University of Nottingham

Copyright

© Abdul Karim et al. 2004