Title :
Image sequence analysis using a spatio-temporal coding for automatic lipreading
Author :
Baig, Abdul Rauf ; Séguier, Renaud ; Vaucher, Gilles
Author_Institution :
Signal Process. & Neural Networks Team, Supelec, Cesson Sevigne, France
Abstract :
In this paper we present the details of a processing technique utilised to extract parameters from the images of a talking person´s mouth region. These parameters are converted into impulse sequences for a given series of images. Spatio-temporal (ST) coding of the impulses provide an input to a spatio-temporal neural network architecture. The system is tested on a French digit recognition task and the results obtained are given. The overall procedure is sufficiently simple to allow us to make plans for its realisation as a real-time system
Keywords :
face recognition; feature extraction; image coding; image sequences; neural net architecture; parameter estimation; real-time systems; speech recognition; French digit; automatic lipreading; digit recognition task; image sequence analysis; image series; impulse sequences; neural network architecture; parameter extraction; real-time system; spatio-temporal coding; Cameras; Color; Crosstalk; Hydrogen; Image coding; Image sequence analysis; Lips; Mouth; Neural networks; Speech recognition;
Conference_Titel :
Image Analysis and Processing, 1999. Proceedings. International Conference on
Conference_Location :
Venice
Print_ISBN :
0-7695-0040-4
DOI :
10.1109/ICIAP.1999.797652
