Context based image retrieval
TEXTURE PATTERN IN ABNORMAL MAMMOGRAMS CLASSIFICATION USING SUPERVISED MACHINE LEARNING TECHNIQUES
... of context based image retrieval to extract audio features and the face image features in the video ...a context based image retrieval system using ...
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Context Driven Concept Based Image Retrieval
... are based on gathering knowledge from multi-modal content analysis, machine learning, information retrieval, and user interaction (Chang, Ma, & Smeulders, ...in image search is bridging the ...
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A REVIEW: FROM KEYWORD BASED IMAGE RETRIEVAL TO ONTOLOGY BASED IMAGE RETRIEVAL
... spatial context modeling is used to provide performance improvement in semantic related image ...of image samples [23]. There are other issues in image retrieval such as problems of ...
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Significance of Context Sensitiveness in Content based Image Retrieval System and Bridging the Semantic Gap
... text retrieval system users are free to compose queries using several words but this not the case with image retrieval where the user is usually asked to provide a query image or a ...an ...
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Human Oriented Content Based Image Retrieval using Clustering and Interactive Genetic Algorithm
... Content-based image retrieval (CBIR), also known as query by image content (QBIC) is the application of computer vision techniques to image retrieval problem, that is, problem of ...
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Secure Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories
... Content-based image retrieval (CBIR) is also known as query by image content and content-based visual information retrieval is the use of computer vision to the image ...
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IMAGE REFINING AND TRACKING
... enter image, search, indexing is performed and then start comparing the images one by ...for image comparison which fulfills exact requirements according to the user Content Based Image ...
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CONTENT BASED IMAGE RETRIEVAL SYSTEM
... the image rather than the metadata such as tags, descriptions, and/or keywords associated with the ...Content-based image retrieval, a methodology which uses visual contents to search images ...
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Privacy Issues in Content based Image Retrieval (CBIR) for Mobile Users, and a Proposed Solution
... of image retrieval utilize some method of adding meta data such as keywords, captioning, title or descriptions to the images so that retrieval can be performed over the annotation ...manual ...
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Online Full Text
... in image, held in Florence. Since then, the application of image database management technique became an area of research that attracted many ...each image (Text Based Image ...
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An Effective Content Based Image Retrieval Technique using Color and Texture Feature
... the image rather than the metadata such as keywords, tags, or descriptions associated with the ...this context might refer to colors, shapes, textures, or any other information that can be derived from the ...
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Content Based MRI Brain Image Retrieval - A Retrospective
... Text Based Image retrieval is a typical and tradition method for retrieving images [4]. Here user needs to type a series of keyword and images in these databases are annotated using keywords; the ...
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The Impact of Education Decentralization on Education Output: A Cross Country Study
... Algorithms to tune the fuzzy membership functions. GAs are optimization algorithms which are inspired by natural evolution. The basic idea is to maintain a population of chromosomes over time through a process of ...
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A Literature Review of Image Retrieval based On Semantic Concept
... Ontology-based image retrieval is an effective approach to bridge the semantic gap because it is more focused on capturing semantic content which has the potential to satisfy user requirements ...
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A New Approach for Enhancing Image Retrieval using Neutrosophic Sets
... with sup T = t_sup , inf T = t_inf , sup I = i_sup, inf I = i_inf, sup F = f_sup, inf F = f_inf and n_sup = t_sup+i_ sup+ f_sup, n_inf = t_inf +i_inf + f_inf. x_sup specifies the superior limits of the subsets, and x_inf ...
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A REVIEW: FROM KEYWORD BASED IMAGE RETRIEVAL TO ONTOLOGY BASED IMAGE RETRIEVAL
... Another novel Geocast protocol was introduced by [23]. This Geocast protocol transmits packets within a definite geographical region. The proposed method uses a multicast tree to connect the Geocast nodes. The ...
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A REVIEW: FROM KEYWORD BASED IMAGE RETRIEVAL TO ONTOLOGY BASED IMAGE RETRIEVAL
... Other than the GPS, there are many schemes/algorithms that are recently proposed for localization in WSNs. These schemes could be classified into range-based and range-free schemes as shown in Figure 1. Our ...
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A REVIEW: FROM KEYWORD BASED IMAGE RETRIEVAL TO ONTOLOGY BASED IMAGE RETRIEVAL
... Grasshopper: Grasshopper is a mobile agent platform that has been designed in conformance with MASIF and FIPA standards. It is distributed commercially by Enago Mobile. The platform is implemented in Java. It supports ...
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A REVIEW: FROM KEYWORD BASED IMAGE RETRIEVAL TO ONTOLOGY BASED IMAGE RETRIEVAL
... Illustrated in Table 2, the network diameter is 5, the length of hash chain n’s value is 20, i is the sequence number, and j is the metric, which is number of hops to destination. Because hi=H(hi¡1), given hi it is easy ...
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A REVIEW: FROM KEYWORD BASED IMAGE RETRIEVAL TO ONTOLOGY BASED IMAGE RETRIEVAL
... Hadoop is an open source framework, created as an open source implementation of Google MapReduce architecture, based on Java language, sponsored by Apache Software Foundation. The Apache Hadoop software library ...
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