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
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
Connexion
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