<p>Image retrieval result shows a reduction of the semantic gap using automatic image annotation on the semantic category “Flowers” of the Corel-1000 image collection (images used in the figure are similar but not identical to the original images used in the study due to copyright issue, and is therefore for illustrative purposes only).</p
In this paper, it,e propose a novel strategy at an abstract level bv combining textual and visual cl...
Content-based image retrieval (CBIR) is a difficult area of research in multimedia systems. The rese...
A content-based image retrieval (CBIR) system works on the low-level visual features of a user input...
<p>The retrieved images show a reduction of the semantic gap in response to the query image taken fr...
Semantic annotation of images is an important research topic on both image understanding and databas...
This paper attempts to review and characterise the problem of the semantic gap in image retrieval an...
The semantic gap is often regarded as a major problem in the eld of image retrieval research. In thi...
<p>Sample of images from different semantic categories of the Corel-1000 and Corel-1500 image collec...
Nowadays, more and more images are available. However, to find a required image for an ordinary user...
Image retrieval is analogous to conventional text-based querying of databases except that both the q...
The performance of Content Based Image Retrieval (CBIR) is limited because of the Semantic Gap (SG)....
Purpose – To provide a better-informed view of the extent of the semantic gap in image retrieval, an...
<p>(a) Semantic gap-Corel images of two different semantic categories (i.e. “Mountains” and “Beach”)...
This paper describes an ongoing project which seeks to contribute to a wider understanding of the re...
This paper attempts to review and characterise the problem of the semantic gap in image retrieval an...
In this paper, it,e propose a novel strategy at an abstract level bv combining textual and visual cl...
Content-based image retrieval (CBIR) is a difficult area of research in multimedia systems. The rese...
A content-based image retrieval (CBIR) system works on the low-level visual features of a user input...
<p>The retrieved images show a reduction of the semantic gap in response to the query image taken fr...
Semantic annotation of images is an important research topic on both image understanding and databas...
This paper attempts to review and characterise the problem of the semantic gap in image retrieval an...
The semantic gap is often regarded as a major problem in the eld of image retrieval research. In thi...
<p>Sample of images from different semantic categories of the Corel-1000 and Corel-1500 image collec...
Nowadays, more and more images are available. However, to find a required image for an ordinary user...
Image retrieval is analogous to conventional text-based querying of databases except that both the q...
The performance of Content Based Image Retrieval (CBIR) is limited because of the Semantic Gap (SG)....
Purpose – To provide a better-informed view of the extent of the semantic gap in image retrieval, an...
<p>(a) Semantic gap-Corel images of two different semantic categories (i.e. “Mountains” and “Beach”)...
This paper describes an ongoing project which seeks to contribute to a wider understanding of the re...
This paper attempts to review and characterise the problem of the semantic gap in image retrieval an...
In this paper, it,e propose a novel strategy at an abstract level bv combining textual and visual cl...
Content-based image retrieval (CBIR) is a difficult area of research in multimedia systems. The rese...
A content-based image retrieval (CBIR) system works on the low-level visual features of a user input...