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Title: 1UML DIAGRAM 2ACTIVITY DIAGRAM 3USE CASE DIAGRAM OF CONTRUCTION PLUS
Page Link: 1UML DIAGRAM 2ACTIVITY DIAGRAM 3USE CASE DIAGRAM OF CONTRUCTION PLUS -
Posted By: rahul136
Created at: Friday 15th of April 2011 12:55:24 PM
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HI

This is Rahul from KIIT university .And after watching your website My work become very easy .Because I am developing project on Contruction + .So from your site I have taken lots of help.But I need

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2)ACTIVITY DIAGRAM
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Title: mask shape btc cbir source code in matlab
Page Link: mask shape btc cbir source code in matlab -
Posted By:
Created at: Saturday 29th of December 2012 01:19:15 AM
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Title: cbir color autocorrelogram code in matlab and algorithm
Page Link: cbir color autocorrelogram code in matlab and algorithm -
Posted By:
Created at: Thursday 03rd of January 2013 01:23:25 PM
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can you help me with algorithm and code logic of color autocorrelogram of an image...
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Title: cbir algorithm matlab
Page Link: cbir algorithm matlab -
Posted By:
Created at: Sunday 24th of March 2013 03:02:35 PM
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i want code for content based image retrieval using matlab & wavlet concept should be used in that.. ....etc

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Title: cbir matlab code free download
Page Link: cbir matlab code free download -
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Created at: Friday 19th of October 2012 08:51:56 PM
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Title: mask shape btc cbir source code in matlab
Page Link: mask shape btc cbir source code in matlab -
Posted By: ESRAAW
Created at: Saturday 29th of December 2012 01:31:39 AM
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Title: simple cbir matlab code
Page Link: simple cbir matlab code -
Posted By: shima2009
Created at: Monday 27th of May 2013 11:24:49 PM
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and also

how could i mak a simple CBIR system prototype using images from any CBIR database. Use grey level/color histogram features and Euclidean distance measure. ....etc

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Title: Fast Query Point Movement Techniques for Large CBIR Systems
Page Link: Fast Query Point Movement Techniques for Large CBIR Systems -
Posted By: electronics seminars
Created at: Saturday 12th of December 2009 09:08:37 PM
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ABSTRACT

Target search in content-based image retrieval (CBIR) systems refers to finding a specific (target) image such as a particular registered logo or a specific historical photograph. Existing techniques, designed around query refinement based on relevance feedback, suffer from slow convergence, and do not guarantee to find intended targets. To address these limitations, here propose several efficient query point movement methods. here prove that our approach is able to reach any given target image with fewer iterations in the worst and ....etc

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Title: Efficiently support concurrent queries in multiuser CBIR systems
Page Link: Efficiently support concurrent queries in multiuser CBIR systems -
Posted By: electronics seminars
Created at: Saturday 12th of December 2009 09:19:55 PM
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Abstract
Various techniques have been developed for different query types in content-based image retrieval systems such as sampling queries, constrained sampling queries, multiple constrained sampling queries, k-NN queries, constrained k-NN queries, and multiple localized k-NN queries. In this seminar , propose a generalized query model suitable for expressing queries of different types, and investigate efficient processing techniques for this new framework. We exploit sequential access and data sharing by developing new storage and query p ....etc

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Title: CBIR - Content Based Image Retrieval Using Shape Color Characteristics
Page Link: CBIR - Content Based Image Retrieval Using Shape Color Characteristics -
Posted By: seminar class
Created at: Wednesday 11th of May 2011 05:28:30 PM
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CBIR - Content Based Image Retrieval Using Shape & Color Characteristics
Introduction
Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of computer vision to the image retrieval problem, that is, the problem of searching for digital images in large databases.
Content-based means that the search will analyze the actual contents of the image. The term 'content' in this context might refer colors, shapes, textur ....etc

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