Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/890
Title: Video segmentation and compression using hierarchies of gaussian mixture models
Authors: Yazbek, George
Mokbel, Chafic 
Chollet, Gérard
Affiliations: Department of Electrical Engineering 
Keywords: Layout
Video sequences
Spatiotemporal phenomena
Video coding
Binary trees
Region 5
Merging
Subjects: Video compression
Stochastic processes
Entropy
Issue Date: 2007
Part of: 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
Start page: 1009
End page: 1012
Conference: International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 (15-20 April 2007 : Honolulu, USA) 
Abstract: 
We present a new method that permits arbitrary region description in video sequence using a reduced number of bits allowing promising results in video compression. A robust unsupervised 3D (2D + t) segmentation is used to detect arbitrary regions for motion compensated video coding. The video sequence is first modeled using a Gaussian mixture model where each pixel, defined by its spatiotemporal position and its color vector is supposed to be generated by one of the mixture components. This permits to segment the video sequence into objects each one modeled by one Gaussian distribution. Grouping the mixtures in a binary tree defines a hierarchical representation of the video objects and a gradual segmentation. This segmentation is then used for region description in a motion compensated video coder. This provides a large improvement in motion bits budget. When compared to a H.264 video coder, promising results were obtained.
URI: https://scholarhub.balamand.edu.lb/handle/uob/890
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Electrical Engineering

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