Title :
Noise-robust recursive motion estimation for H.263-based videoconferencing systems
Author :
Olivieri, S. ; Albani, L. ; de Haan, G.
Author_Institution :
Philips Res. Lab., Monza, Italy
Abstract :
The key element in realizing low cost real-time software implementations of a H.263 videoconferencing system is a fast motion estimation algorithm, which only slightly decreases coding efficiency. We propose a spatio-temporal recursive estimator that combines an excellent coding efficiency with a high computational efficiency. Experimentally, the new algorithm proves to be comparable to full-search block matching when encoding typical videoconferencing sequences in presence of additive noise, even though the computational burden has been greatly reduced
Keywords :
image sequences; motion estimation; recursive estimation; teleconferencing; video coding; H.263-based videoconferencing systems; additive noise; coding efficiency; high computational efficiency; low cost real-time software implementations; recursive motion estimation; spatio-temporal recursive estimator; videoconferencing sequences; Additive noise; Computational efficiency; Costs; Encoding; Motion estimation; Noise robustness; Real time systems; Recursive estimation; Software algorithms; Teleconferencing;
Conference_Titel :
Multimedia Signal Processing, 1999 IEEE 3rd Workshop on
Conference_Location :
Copenhagen
Print_ISBN :
0-7803-5610-1
DOI :
10.1109/MMSP.1999.793860