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Domain	Databases-Web-Information Retrieval-Reasoning
Domain - extra
Year	2014
Starting	september 2014
Status	Open
Subject	Lattice-based representation and reasoning for image understanding
Thesis advisor	ATIF Jamaleddine
Co-advisors	Isabelle Bloch, Telecom ParisTech
Laboratory	LRI A&O
Collaborations
Abstract	In this PhD project, we aim at addressing the challenging problem of high level scene understanding with a new methodological approach which integrates advantages of formal logics (description logics, formal concept analysis), and quantitative or semi-quantitative representations and reasoning in the image domain. High level scene understanding is the task of inferring semantics from image contents in a form which is close to and suitable for application domain decision-making. This semantics cannot be considered as being included explicitly in the image itself but rather depends on prior knowledge on the domain and on the context of use of the image. Model-based image understanding is a subfield where semantics inference is guided by a model e.g. a graph or an ontology. In this context, modeling imperfections of knowledge and information is also a key aspect.
Context
Objectives
Work program
Extra information
Prerequisite
Details	PhD_Proposal.pdf
Expected funding	Institutional funding
Status of funding	Expected
Candidates
user	jamal.atif
Created	Thursday 03 of April, 2014 18:20:32 CEST
LastModif	Thursday 03 of April, 2014 18:20:32 CEST

	filename	created	hits	filesize
	PhD_Proposal.pdf	03 Apr 2014 18:20	1872	101.30 Kb

Directrice
Nicole Bidoit
Assistante
Stéphanie Druetta
Conseiller aux thèses
Dominique Gouyou-Beauchamps

ED 427 - Université Paris-Sud
UFR Sciences Orsay
Bat 650 - aile nord - 417
Tel : 01 69 15 63 19
Fax : 01 69 15 63 87
courriel: ed-info at lri.fr