large-scale image databases
Analysis of existing CBIR Systems: improvements and validation Using Color Features
... Content-based image retrieval is a technique which utilizes visual contents to search images from large scale image databases according to user ...content-based image retrieval ...
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A Quick Survey on latest Content Based Image Retrieval Systems(CBIRS)
... digital image is composed of pixels, and information about brightness of the image and RGB triples are used to encode color ...desired image in large image database is done ...
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Image Retrieval from an Engineering Database using Shape and Depth Feature
... ontent-based image retrieval (CBIR) is used to describe the experiments into automatic retrieval of images from a ...a large collection on the basis of features such as color, texture and shape that can be ...
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Effective Graph-Based Content--Based Image Retrieval Systems for Large-Scale and Small-Scale Image Databases
... an image into five different regions according to the importance of the content in each region ...an image likely contains the most important visual content, the upper and lower regions normally contain the ...
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Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation
... very large-scale medical image ...from large raw text data. Our work shows the feasibility of large-scale learning and prediction in electronic patient records available in most ...
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A Graph based Web Image Annotation for Large Scale Image Retrieval
... web image annotation method, we conducted extensive experiments on five image ...five image databases as follows: 1) the 6000-image database containing COREL images; 2) the ...
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Large Scale Image Clustering Based on Camera Fingerprints : A Survey
... little databases, yet it is ease back due to the count of the probability likelihood, which includes every one of the individuals in the participation panel and needs to be ascertained for each class label and ...
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Searching Large Scale Image Collections
... of databases involved vary from hundreds of thousands to potentially millions of images, but they could conceivably reach ...probe image containing an object of interest, e.g., an image of a book ...
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Distributed Image Processing using Different Techniques in Hadoop
... the image process applications that use the Hadoop MapReduce framework are extremely complicated and impose a staggering learning ...Hadoop Image process Framework, that hides the extremely technical ...
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Large-scale tissue histopathology image segmentation based on feature pyramid
... visual databases, such as ImageNet, with more than 10 million images and more than 20,000 cat- egories [9], which enable CNN to learn a rich and varied feature description from these ...the image ...
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Large Scale Image Classification using High Performance Clustering
... support large-scale computer vision, not computer vision ...of image classification on large-scale online social photo ...each image as a histogram over the vocabulary, and then ...
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Large Scale Online Learning of Image Similarity Through Ranking
... For large scale data, where man-in-the-loop experiments are prohibitively costly, relative similarities can be extracted from analyzing pairs of images that are returned in response to the same text query ...
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Large Scale Image Classification using High Performance Clustering
... of large-scale clustering, applying it to cluster features from large collections of 7 million social images, with each feature represented as a point in a high dimensional vector space, into 1 ...
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Large-scale development, characterization, and cross-amplification of EST–SSR markers in Chinese chive
... In the present study, the mean distance between the identified EST-SSRs (19.8 kb) suggests that EST-SSRs are less prevalent in Chinese chive than in many other crops (Ding et al., 2015) but more prevalent than in its ...
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CNN-RNN: A Large-scale Hierarchical Image Classification Framework
... each image into 1D spatial sequences by concatenating the CNN features of different regions, and utilized RNN to learn the spatial dependencies of image ...the image-label ...
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The development of large-scale de-identified biomedical databases in the age of genomics—principles and challenges
... active large-scale projects generating enormous databases of complex biomedical ...information. Large-scale population genomics projects proliferating in the second decade of the ...
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DBDTSO: Decentralized Bandwidth and Deployment Time Savingoriented VM Image Management Mechanism for IaaS
... centralized image file management mechanism, which is being adapted by current dominant commercial IaaS ...novel image file management mechanism, the DBDTSO, which is a decentralized and historical ...
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Region of interest-based image retrieval techniques: a review
... (ROI) image retrieval ...and databases used in image retrieval process are being ...an image that is considered important or a selected certain area of the image is what defines a ...
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Large Scale Image Classification using High Performance Clustering
... of large-scale clustering, applying it to cluster large collections of 10-100 million social images, each represented as a point in a high dimensional (up to 2048) vector space, into 1-10 million ...
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Large Scale Image Processing Using Distributed and Parallel Architecture
... based large-scale images processing, which exhibit high reliability and scalability in distributed and parallel ...massive image database. In today’s highly digitalized world large volume of ...
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