National audienceIn this paper, we propose an implementation in the encrypted domain of a content based image retrieval (CBIR) method. It allows a physician to retrieve the most similar images to a query image in an outsourced database while preserving data confidentiality. Image retrieval is based on image signatures we build in the hormomorphically encrypted wavelet transform domain. Experimental results show it is possible to achieve retrieval performance as good as if images were processed nonencrypted
Many investigators are incorporating medical image feature analysis into computer-aided diagnosis (C...
Content Based Image Retrieval (CBIR) is an evolving topic under image processing. Retrieval on medic...
89 p.Retrieving images from a large collection of a variety of general images is a challenging probl...
National audienceIn this paper, we propose an implementation in the encrypted domain of a content ba...
International audienceIn this paper, we propose a secure implementation of a content-based image ret...
International audienceIn this paper we propose a content based image retrieval method for diagnosis ...
Content-based image retrieval (CBIR) makes use of image features, such as color and texture, to inde...
International audienceWe propose in this article a Content-Based Image Retrieval method for diagnosi...
Abstract — Content-based visual information retrieval (CBVIR) or Content-based image retrieval (CBIR...
Image analysis has gained popularity in the medical field as there are many illnesses which require ...
Building effective content-based image retrieval (CBIR) systems involves the combination of image cr...
Content based image retrieval (CBIR) become a challenging problem due to large size of the image dat...
Content-based image retrieval (CBIR) has been widely used in many applications. Large storage and co...
Abstract. In this paper we introduce a new secure cryptographic scheme, named IES-CBIR, specifically...
The content-based image retrieval (CBIR) has been widely studied along with the increasing importanc...
Many investigators are incorporating medical image feature analysis into computer-aided diagnosis (C...
Content Based Image Retrieval (CBIR) is an evolving topic under image processing. Retrieval on medic...
89 p.Retrieving images from a large collection of a variety of general images is a challenging probl...
National audienceIn this paper, we propose an implementation in the encrypted domain of a content ba...
International audienceIn this paper, we propose a secure implementation of a content-based image ret...
International audienceIn this paper we propose a content based image retrieval method for diagnosis ...
Content-based image retrieval (CBIR) makes use of image features, such as color and texture, to inde...
International audienceWe propose in this article a Content-Based Image Retrieval method for diagnosi...
Abstract — Content-based visual information retrieval (CBVIR) or Content-based image retrieval (CBIR...
Image analysis has gained popularity in the medical field as there are many illnesses which require ...
Building effective content-based image retrieval (CBIR) systems involves the combination of image cr...
Content based image retrieval (CBIR) become a challenging problem due to large size of the image dat...
Content-based image retrieval (CBIR) has been widely used in many applications. Large storage and co...
Abstract. In this paper we introduce a new secure cryptographic scheme, named IES-CBIR, specifically...
The content-based image retrieval (CBIR) has been widely studied along with the increasing importanc...
Many investigators are incorporating medical image feature analysis into computer-aided diagnosis (C...
Content Based Image Retrieval (CBIR) is an evolving topic under image processing. Retrieval on medic...
89 p.Retrieving images from a large collection of a variety of general images is a challenging probl...