Title :
Efficient image segmentation for region-based motion estimation and compensation
Author :
Salgado, Luis ; García, Narciso ; Menéndez, José M. ; Rendón, Enrique
Author_Institution :
Image Process. Group, Univ. Politecnica de Madrid, Spain
fDate :
10/1/2000 12:00:00 AM
Abstract :
An intra-frame segmentation strategy to assist region-based motion estimation and compensation is presented. It is based on the multiresolution application of a histogram clustering and a probabilistic relaxation-labeling algorithm, followed by a local gradient-based bottom-up merging procedure. Specially suited for region-based video coding, it strongly differs from other proposals in that it generates arbitrary shaped image regions with pixel accuracy at a low computational cost, while allowing full reconstruction of the segmentation at the decoder without the transmission of any region description information
Keywords :
computational complexity; gradient methods; image resolution; image segmentation; motion compensation; motion estimation; video coding; arbitrary shaped image region; computational cost; decoder; histogram clustering; image segmentation; intra-frame segmentation strategy; local gradient-based bottom-up merging procedure; multiresolution application; pixel accuracy; probabilistic relaxation-labeling algorithm; reconstruction; region-based motion estimation; region-based video coding; Clustering algorithms; Computational efficiency; Histograms; Image generation; Image segmentation; Merging; Motion estimation; Pixel; Proposals; Video coding;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on