image-based data retrieval
A REVIEW: FROM KEYWORD BASED IMAGE RETRIEVAL TO ONTOLOGY BASED IMAGE RETRIEVAL
... In the SubBytes phase, the data in the plaintext is substituted by some pre-defined values from a substitution box. The substitution box, which is used commonly, is AES substitution box (S-box table). Figure 1 ...
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An Effective Content Based Image Retrieval Technique using Color and Texture Feature
... of image mining techniques is discovering meaningful correlations and formulations from previously collected image ...data. Image clustering and finding the minimum distance among the images ...
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A REVIEW ON VARIOUS APPROACHES OF CBIR USING COLOR AND SHAPE BASED FEATURES
... Sensing Image Retrieval” Conventional relevance feedback (RF) schemes improve the performance of content-based image retrieval (CBIR) requiring the user to annotate a large number of ...
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Human Oriented Content Based Image Retrieval using Clustering and Interactive Genetic Algorithm
... digital image capturing devices enable to collect a large number of digital information and store them in computer readable ...manage data effectively and ...information retrieval system has ...
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Content Based Image Retrieval from Web Based Data Sources
... Search time is known as the time required to find relevant results after the query, here the file size does not matters for searching process. But the factor o0n which searching slightly depends upon the size of images ...
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TEXTURE PATTERN IN ABNORMAL MAMMOGRAMS CLASSIFICATION USING SUPERVISED MACHINE LEARNING TECHNIQUES
... The data processing process of the overall context based image retrieval system consists of a query interface and query ...context based image retrieval system, the method ...
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Content Based Medical Image Retrieval Using Fuzzy C- Means Clustering With Rf
... Content-based image retrieval is one of the techniques of image ...Content-based image retrieval system (CBIR) has been proposed by the medical community to manage the ...
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A Literature Review of Image Retrieval based On Semantic Concept
... example image retrieval system based on decision trees and rule induction was presented in [17] to annotate web image using combination of image feature and metadata, while in [18], a ...
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A generic framework for ontology-based information retrieval and image retrieval in web data
... An effective search query is one where the maximum number of keywords match the description of multiple images. The higher this intersection of keywords to description, the higher the chance of that particular ...
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The Impact of Education Decentralization on Education Output: A Cross Country Study
... contour based image structure for 3D reconstruction and partial ...raw image data set into the standard xml data ...xml data structure, object contour is the basic unit to ...
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Sketch based image retrieval on big visual data.
... A common tactic to discourage gradient collapse is to consider L2 normalization of the output layer prior to evaluation of eqn. (4.6) i.e. to enforce the two domains to lie upon the unit sphere. However, in this case we ...
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Content Based Image Retrieval Using Spatial Features
... on image retrieval have been published from different ...methods based on linguistic cues for both categorizing and searching, and experimental systems using visual cues for one or both of ...to ...
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A Review on Content Based Image Retrieval using Spatial Domain Based Features
... Content based image retrieval (CBIR), in which the process of retrieval of similar images from the database is proceeded on the basis of visual content of the given query ...the image ...
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A REVIEW: FROM KEYWORD BASED IMAGE RETRIEVAL TO ONTOLOGY BASED IMAGE RETRIEVAL
... Apriori [2] is the most established algorithm for finding frequent itemsets from a transactional dataset; however, it needs to scan the dataset many times and to generate many candidate itemsets. Unfortunately, when the ...
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A REVIEW: FROM KEYWORD BASED IMAGE RETRIEVAL TO ONTOLOGY BASED IMAGE RETRIEVAL
... Figure 2 show that malicious node M detects the existence of active route (S,A,E,D) between the source S and destination D. The malicious node M sends to the node A a route reply message (RREP) containing the spoofed ...
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A REVIEW: FROM KEYWORD BASED IMAGE RETRIEVAL TO ONTOLOGY BASED IMAGE RETRIEVAL
... A simulation Model using NS-2 simulator [24] has been designed to study the effect of the malicious nodes in the WSN using the geographic routing protocol. The simulation model consists of 50 nodes acting as client and ...
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A REVIEW: FROM KEYWORD BASED IMAGE RETRIEVAL TO ONTOLOGY BASED IMAGE RETRIEVAL
... The benchmark application was executed in all the six platforms and results of experiments are given below [12][1]. Results are carried out by changing parameters (number of agencies, number of itinerary performed by the ...
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A REVIEW: FROM KEYWORD BASED IMAGE RETRIEVAL TO ONTOLOGY BASED IMAGE RETRIEVAL
... Wireless Sensor Networks (WSNs) are the type of networks that are currently used in many applications. Some of these applications are critical and their information is very sensitive e.g. battle field and health care ...
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Privacy Issues in Content based Image Retrieval (CBIR) for Mobile Users, and a Proposed Solution
... as data derived from a “biometric identifier” such as “a retina or iris scan, fingerprint, voiceprint, or scan of hand or face ...the data are being collected, stored or ...the data to protect the ...
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Color Image Classification and Retrieval using Image mining Techniques
... employ image contents called, ‘features’ to enable the ...of image databases. Users can query example images based on some features such as texture, color, shape, region and ...target image ...
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