International audienceThis paper presents an efficient method for the implementation of an image search system invariant to rotation. This method consists of applying circular masks of different size on the image, and extracting the color descriptor from the visible region on the mask, and then combining a texture descriptor for more precision. In our work, we have used the color histogram and histogram of local binary patterns. The experimentation of this approach gave excellent results for color rotation-invariant image retrieval
In this paper, viewpoint independent image retrieval by color-metric pattern-card matching is presen...
In this paper, we propose a novel color image retrieval approach by using an effective fusion of two...
In this paper, we present a new approach for retrieving similar images based on color-spatial featur...
International audienceThis paper presents an efficient method for the implementation of an image sea...
In content-based image retrieval systems, the texture in the query image may appear at a different s...
[[abstract]]This paper proposes two kinds of image features. One feature is the spatial-histogram fe...
Abstract—The conventional color histogram retrieval method is prone to lo se the spatial information...
Image retrieval is a standard method used to search a digital image in large image databases. One o...
This paper presents a detailed comparative study of 4 rotation invariant texture analysis methods. H...
Abstract With the rapid development of information technology, the sizes of digital libraries become...
In the context of content-based image retrieval from large databases, traditional systems typically ...
A novel technique for Content based image retrieval (CBIR) that employs color histogram and color mo...
. Texture-based image retrieval is a very difficult task, especially for retrieving images of natura...
Abstract—This paper presents a statistical view of the texture retrieval problem by combining the tw...
International audienceMost image encodings achieve orientation invariance by aligning the patches to...
In this paper, viewpoint independent image retrieval by color-metric pattern-card matching is presen...
In this paper, we propose a novel color image retrieval approach by using an effective fusion of two...
In this paper, we present a new approach for retrieving similar images based on color-spatial featur...
International audienceThis paper presents an efficient method for the implementation of an image sea...
In content-based image retrieval systems, the texture in the query image may appear at a different s...
[[abstract]]This paper proposes two kinds of image features. One feature is the spatial-histogram fe...
Abstract—The conventional color histogram retrieval method is prone to lo se the spatial information...
Image retrieval is a standard method used to search a digital image in large image databases. One o...
This paper presents a detailed comparative study of 4 rotation invariant texture analysis methods. H...
Abstract With the rapid development of information technology, the sizes of digital libraries become...
In the context of content-based image retrieval from large databases, traditional systems typically ...
A novel technique for Content based image retrieval (CBIR) that employs color histogram and color mo...
. Texture-based image retrieval is a very difficult task, especially for retrieving images of natura...
Abstract—This paper presents a statistical view of the texture retrieval problem by combining the tw...
International audienceMost image encodings achieve orientation invariance by aligning the patches to...
In this paper, viewpoint independent image retrieval by color-metric pattern-card matching is presen...
In this paper, we propose a novel color image retrieval approach by using an effective fusion of two...
In this paper, we present a new approach for retrieving similar images based on color-spatial featur...