Searching for an object in a general image collection using current image retrieval systems, is still a problem. The retrieval results contain many unrelated images. In providing an effective and robust image database, objects in an image need to be extracted. Since the number of stored images can be very large, automation is an important aspect. Image indexing is a technique that extracts objects in an image automatically. The aim of this research is to propose a new object based indexing system based on extracting salient region representative from the image and categorising an image into different types
Image querying refers to the problem of finding objects that are relevant to a user query within ima...
An image retrieval methodology suited for search in large collections of heterogeneous images is pre...
[[abstract]]Content-based image retrieval has become more desirable for developing large image datab...
In this paper, we present a new and effective image indexing technique that extracts features direct...
Searching for an image in a database is important in different applications; hence, many algorithms ...
Abstract — Nowadays the WWW has rapidly growing with the expansion of image databases. From the huge...
In this study, a content based image retrieval (CBIR) system to query the objects in an image databa...
In Today's digital world vast amount of digital images are shared in online. When the number of...
This thesis focuses on Implicit Concept-based Image Indexing and Retrieval (ICIIR), and the developm...
We suggest a novel approach to combine visual saliency model and object recognition to provide a mor...
Convenient image capture techniques, inexpensive storage, and widely available dissemination methods...
This paper proposes an image retrieval system scheme based on salient region of interest. In our ret...
In this paper, a novel approach to image retrieval is presented. The proposed ap-proach employs a ti...
One of the basic problems in the creating of the Realistic Image Databases (RIDB) structure is the e...
A new system, the so-called MUVIS, is introduced for content-based indexing and retrieval for image ...
Image querying refers to the problem of finding objects that are relevant to a user query within ima...
An image retrieval methodology suited for search in large collections of heterogeneous images is pre...
[[abstract]]Content-based image retrieval has become more desirable for developing large image datab...
In this paper, we present a new and effective image indexing technique that extracts features direct...
Searching for an image in a database is important in different applications; hence, many algorithms ...
Abstract — Nowadays the WWW has rapidly growing with the expansion of image databases. From the huge...
In this study, a content based image retrieval (CBIR) system to query the objects in an image databa...
In Today's digital world vast amount of digital images are shared in online. When the number of...
This thesis focuses on Implicit Concept-based Image Indexing and Retrieval (ICIIR), and the developm...
We suggest a novel approach to combine visual saliency model and object recognition to provide a mor...
Convenient image capture techniques, inexpensive storage, and widely available dissemination methods...
This paper proposes an image retrieval system scheme based on salient region of interest. In our ret...
In this paper, a novel approach to image retrieval is presented. The proposed ap-proach employs a ti...
One of the basic problems in the creating of the Realistic Image Databases (RIDB) structure is the e...
A new system, the so-called MUVIS, is introduced for content-based indexing and retrieval for image ...
Image querying refers to the problem of finding objects that are relevant to a user query within ima...
An image retrieval methodology suited for search in large collections of heterogeneous images is pre...
[[abstract]]Content-based image retrieval has become more desirable for developing large image datab...