This paper presents a new method for image representation based on object-oriented graph structure used for formalizing the process of image retrieval based on content considering the information ex-tracted from the segmentation process and the semantic interpretation of this information. We used an image domain ontology for interpreting the image contents and constructed an Object Oriented Graphs (OOG) for describing each image. The instances of the ontology together with the OOG’s corresponding to the low level features extracted from the images after segmentation image are stored in an object-oriented database. The object-oriented native query system is used for the retrieval of the images from the database. Our technique, which combines...
In this paper a novel approach for generalized image retrieval based on semantic contents is present...
An object-oriented approach for semantic-based image retrieval is presented. The goal is to identify...
AbstractThis research proposes an ontology based image retrieval framework from a corpus of natural ...
In this paper, a novel approach to image retrieval is presented. The proposed ap-proach employs a ti...
This paper presents an experience of implementing an image retrieval system using a conceptual graph...
Abstract The design of a specialised query language for content based image retrieval provides a mea...
AbstractThe main limitations of the existing high level image retrieval approaches concern the high ...
We propose a structured approach to the problem of retrieval of images by content and present a desc...
Abstract:- A highly desirable function in image retrieval is that of finding images based on their s...
This paper presents an Object Manager that stores medical images as a data type of attributes that c...
An image retrieval methodology suited for search in large collections of heterogeneous images is pre...
We propose a structured approach to the problem of retrieval of images by content and present a desc...
The main obstacle to realize real semantic-based image retrieval is that semantic description of ver...
This thesis presents a novel paradigm known as the 'Pictorial Dictionary' for the content-based imag...
Content-based image indexing and retrieval (CBIR) system needs to consider several types of visual f...
In this paper a novel approach for generalized image retrieval based on semantic contents is present...
An object-oriented approach for semantic-based image retrieval is presented. The goal is to identify...
AbstractThis research proposes an ontology based image retrieval framework from a corpus of natural ...
In this paper, a novel approach to image retrieval is presented. The proposed ap-proach employs a ti...
This paper presents an experience of implementing an image retrieval system using a conceptual graph...
Abstract The design of a specialised query language for content based image retrieval provides a mea...
AbstractThe main limitations of the existing high level image retrieval approaches concern the high ...
We propose a structured approach to the problem of retrieval of images by content and present a desc...
Abstract:- A highly desirable function in image retrieval is that of finding images based on their s...
This paper presents an Object Manager that stores medical images as a data type of attributes that c...
An image retrieval methodology suited for search in large collections of heterogeneous images is pre...
We propose a structured approach to the problem of retrieval of images by content and present a desc...
The main obstacle to realize real semantic-based image retrieval is that semantic description of ver...
This thesis presents a novel paradigm known as the 'Pictorial Dictionary' for the content-based imag...
Content-based image indexing and retrieval (CBIR) system needs to consider several types of visual f...
In this paper a novel approach for generalized image retrieval based on semantic contents is present...
An object-oriented approach for semantic-based image retrieval is presented. The goal is to identify...
AbstractThis research proposes an ontology based image retrieval framework from a corpus of natural ...