Extraction of Resource Descriptors for Distributed Content Based Image Retrieval
نویسندگان
چکیده
Content based retrieval from distributed libraries raises new and challenging issues with respect to retrieval from a single repository. In particular, an effective management of distributed libraries develops upon three main processes: resource description (extraction of descriptors that qualify the content of a given archive), resource selection (given a user query, select the resources that contain relevant documents) and results merging (organize and present items returned by individual libraries). So far, these issues have been mainly addressed for text archives. In this paper, we propose a novel approach to the extraction and verification of resource descriptions for distributed collections of images.
منابع مشابه
A Novel Method for Content Base Image Retrieval Using Combination of Local and Global Features
Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...
متن کاملA Novel Method for Content Base Image Retrieval Using Combination of Local and Global Features
Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...
متن کاملImage retrieval using the combination of text-based and content-based algorithms
Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input...
متن کاملContent Based Radiographic Images Indexing and Retrieval Using Pattern Orientation Histogram
Introduction: Content Based Image Retrieval (CBIR) is a method of image searching and retrieval in a database. In medical applications, CBIR is a tool used by physicians to compare the previous and current medical images associated with patients pathological conditions. As the volume of pictorial information stored in medical image databases is in progress, efficient image indexing and retri...
متن کاملUnsupervised Extraction of Salient Region-Descriptors for Content Based Image Retrieval
Several content based image retrieval systems use region-based descriptors of salient regions to represent the image content. In this application domain, no perfect pixel wise segmentation is required, but instead, a stable and unsupervised extraction of salient region-descriptors is needed which might be generally applicable. Accordingly, in this paper an algorithm is proposed which combines l...
متن کامل