Add to ORKGA new algorithm is presented which approximates the perceived visual similarity between images. The images are initially trans-formed into a feature space which captures visual structure, tex-ture and color using a tree of filters. Similarity is the inverse of the distance in this perceptual feature space. Using this algorithm we have constructed an image database system which can perform example based retrieval on large image databases. Using carefully constructed target sets, which limit variation to only a single visual characteristic, retrieval rates are quantitatively compared to those of standard methods.
In this paper, we propose a method for calculating the similarity between two digital images. A glob...
Tsai C-Y, Chen ALP, Essig K. Efficient Image Retrieval Approaches for Different Similarity Requireme...
[[abstract]]The amount of pictorial data grows enormously with the expansion of the World Wide Web. ...
A new algorithm is presented which approximates the perceived visual similarity between images. The ...
[[abstract]]Content-based image retrieval has become more desirable for developing large image datab...
In this work, four major components of image database have been examined: image similarity, search-b...
In this paper, we presented a novel image representation method to capture the information about spa...
We propose a method to handle approximate searching by image content in large image databases. Image...
The retrieval of images from a large database of images is an important area of current research. He...
. In this paper, we discuss a number of new problems that arise in image databases, and that set the...
Most of the current image retrieval systems use »one-shot» queries to a database to retrieve similar...
Most of the current image retrieval systems use »one-shot» queries to a database to retrieve similar...
Retrieving the relevant images with respect to user query from a large image database is aim of the ...
Abstract: In the context of multimedia information mining growth, image retrieval has an important p...
In content-based retrieval systems, the goal of similarity search is to identify the k most similar ...
In this paper, we propose a method for calculating the similarity between two digital images. A glob...
Tsai C-Y, Chen ALP, Essig K. Efficient Image Retrieval Approaches for Different Similarity Requireme...
[[abstract]]The amount of pictorial data grows enormously with the expansion of the World Wide Web. ...
A new algorithm is presented which approximates the perceived visual similarity between images. The ...
[[abstract]]Content-based image retrieval has become more desirable for developing large image datab...
In this work, four major components of image database have been examined: image similarity, search-b...
In this paper, we presented a novel image representation method to capture the information about spa...
We propose a method to handle approximate searching by image content in large image databases. Image...
The retrieval of images from a large database of images is an important area of current research. He...
. In this paper, we discuss a number of new problems that arise in image databases, and that set the...
Most of the current image retrieval systems use »one-shot» queries to a database to retrieve similar...
Most of the current image retrieval systems use »one-shot» queries to a database to retrieve similar...
Retrieving the relevant images with respect to user query from a large image database is aim of the ...
Abstract: In the context of multimedia information mining growth, image retrieval has an important p...
In content-based retrieval systems, the goal of similarity search is to identify the k most similar ...
In this paper, we propose a method for calculating the similarity between two digital images. A glob...
Tsai C-Y, Chen ALP, Essig K. Efficient Image Retrieval Approaches for Different Similarity Requireme...
[[abstract]]The amount of pictorial data grows enormously with the expansion of the World Wide Web. ...