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Title: srs of cbir system
Page Link: srs of cbir system -
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Created at: Thursday 08th of November 2012 03:29:19 AM
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Title: mask shape btc cbir source code in matlab
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Created at: Saturday 29th of December 2012 01:19:15 AM
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Title: 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: 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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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: free project regarding cbir with coding
Page Link: free project regarding cbir with coding -
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Created at: Wednesday 06th of December 2017 07:45:25 PM
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Hi am vinoth i would like to get details on free project regarding cbir with coding ..My friend Justin said free project regarding cbir with coding will be available here and now i am living at  erode......... and i last studied in the college arts ......... and now am doing my final year MCA ....i need help on .....asap ....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: 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: Fast Query Point Technique for CBIR
Page Link: Fast Query Point Technique for CBIR -
Posted By: ramsrekha
Created at: Friday 23rd of December 2011 02:00:32 AM
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Title: Content-based image retrieval CBIR System
Page Link: Content-based image retrieval CBIR System -
Posted By: project topics
Created at: Thursday 22nd of April 2010 02:48:46 AM
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Content-based image retrieval

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, textures, or any other information that can be derived from the image itself. Without ....etc

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