Title :
Image segmentation for facial image coding of videophone sequences
Author :
Herodotou, Nicos ; Venetsanopoulos, Anastasios N.
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
Abstract :
A method to extract the facial area of videophone sequences is discussed. The proposed technique utilizes the distribution of skin colours in the colour space to obtain an initial segmentation followed by several successive post-processing operations to yield the final result. This approach is robust with regards to facial shape, size, orientation, or motion and can be implemented at a low computational complexity. The motivation is to enable a video coding scheme to place a greater emphasis on the facial region in a videophone sequence in order to produce a perceptually higher quality in the coded images. Experimental results are presented for a series of CIF format frames from two videophone sequences
Keywords :
computational complexity; feature extraction; image colour analysis; image segmentation; image sequences; video coding; videotelephony; CIF format frames; coded images; colour space; computational complexity; facial area; facial image coding; facial shape; image segmentation; motion; orientation; post-processing operations; size; skin colours; video coding scheme; videophone sequences; Data mining; Educational institutions; Focusing; Image coding; Image reconstruction; Image segmentation; Robustness; Shape; Skin; Uniform resource locators;
Conference_Titel :
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location :
Santorini
Print_ISBN :
0-7803-4137-6
DOI :
10.1109/ICDSP.1997.628032