Note:This thesis proposes a new paradigm for a modular computer vision system for segmenting and interpreting real world pictures. The system is both data directed and knowledge based. This paradigm exhibits the properties of extensibility, modularity, and model/analysis separability. The system consists of two associative memories and several independent processes. The first, a SHORT TERM MEMOPY (STM), maintains the current data and deductions about the scene under analysis. The second, a LONG TERM MEMORY (LTM), is the embodiment of the relevant information (syntactic, semantic and pragmatic) about the image domains to be analyzed. Both memories are designed as relational databases and are completely separate from the analysis processes. T...
Abstract: Problem statement: This study deals with object recognition based on image segmentation an...
Current Knowledge Distillation (KD) methods for semantic segmentation often guide the student to mim...
This paper suggests an approach to the semantic image analysis for application in computer vision sy...
A vision system is described which uses a semantic network model and a distributed control structure...
The present thesis describes a system for automatic off-line scene analysis of individual images and...
International audienceBuilding general-purpose image segmentation systems is a central concern for m...
This research evolves from the analysis of a system devoted to cytologic image segmentation and impl...
A major problem in robotics vision is the segmentation of images of natural scenes in order to under...
Le traitement d’images est un axe de recherche très actif depuis des années. L’interprétation des im...
(20 pages (limit: 20 pages)) Abstract: We present a modular architecture for image understanding and...
Image segmentation is a highly scene dependent and problem dependent decision making or pattern reco...
154 pagesOver the course of the last decades, we have witnessed the significant progress of machine ...
This paper discusses in detail the behavior of the different classification on image segmentation da...
International audienceA knowledge-based system that automates the execution of image segmentation pr...
Note:The thesis develops a model for the classification of images, employing conventionally recogniz...
Abstract: Problem statement: This study deals with object recognition based on image segmentation an...
Current Knowledge Distillation (KD) methods for semantic segmentation often guide the student to mim...
This paper suggests an approach to the semantic image analysis for application in computer vision sy...
A vision system is described which uses a semantic network model and a distributed control structure...
The present thesis describes a system for automatic off-line scene analysis of individual images and...
International audienceBuilding general-purpose image segmentation systems is a central concern for m...
This research evolves from the analysis of a system devoted to cytologic image segmentation and impl...
A major problem in robotics vision is the segmentation of images of natural scenes in order to under...
Le traitement d’images est un axe de recherche très actif depuis des années. L’interprétation des im...
(20 pages (limit: 20 pages)) Abstract: We present a modular architecture for image understanding and...
Image segmentation is a highly scene dependent and problem dependent decision making or pattern reco...
154 pagesOver the course of the last decades, we have witnessed the significant progress of machine ...
This paper discusses in detail the behavior of the different classification on image segmentation da...
International audienceA knowledge-based system that automates the execution of image segmentation pr...
Note:The thesis develops a model for the classification of images, employing conventionally recogniz...
Abstract: Problem statement: This study deals with object recognition based on image segmentation an...
Current Knowledge Distillation (KD) methods for semantic segmentation often guide the student to mim...
This paper suggests an approach to the semantic image analysis for application in computer vision sy...