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Databases-Web-Information Retrieval-Reasoning

Domaine
Databases-Web-Information Retrieval-Reasoning
Domain - extra
Année
2014
Starting
september 2014
État
Open
Sujet
Lattice-based representation and reasoning for image understanding
Thesis advisor
ATIF Jamaleddine
Co-advisors
Isabelle Bloch, Telecom ParisTech
Laboratory
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
Détails
Télécharger PhD_Proposal.pdf
Expected funding
Institutional funding
Status of funding
Expected
Candidates
Utilisateur
jamal.atif
Créé
Jeudi 03 avril 2014 18:20:32 CEST
dernière modif.
Jeudi 03 avril 2014 18:20:32 CEST

Fichiers joints

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PhD_Proposal.pdf 03 Apr 2014 18:201872101.30 Kb


Ecole Doctorale Informatique Paris-Sud


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 à lri.fr