NDLI: Joint disparity motion estimation and segmentation for object oriented stereoscopic image coding

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Joint disparity motion estimation and segmentation for object oriented stereoscopic image coding

Content Provider	Semantic Scholar
Author	Yang, Cheng Hong Konrad, Janusz
Copyright Year	2007
Abstract	Rapport technique de l'INRS-T el ecommunications no. 97-05 This report describes the Ph.D thesis proposal of Cheng Hong Yang prepared under the supervision of Prof. Janusz Konrad and defended on April 18 1997 in front of a committee consisting of Prof. Summary This document describes a project aiming at the development of a new approach to video segmentation. In particular, in order to divide individual video frames into regions corresponding to objects from a 3-D scene, the proposed approach attempts to jointly exploit multiple sources of visual information, such as motion, disparity and luminance/color. The resulting segmentation is expected to nd applications in object-oriented coding of monoscopic and stereoscopic video sequences. The proposed approach is based on Markov random eld models linked together by the maximum a posteriori probability estimation criterion. In the formulation robust error functions are used to minimize the impact of outliers, while the optimization stage is based on a continuation method. Encouraging initial experimental results for the case of motion segmentation are demonstrated.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.bu.edu/vip/files/pubs/reports/Yang97-05inrs.pdf
Alternate Webpage(s)	http://www.inrs-telecom.uquebec.ca/users/viscom/english/research/local/reports/Yang97-05inrs.ps.gz
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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