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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I want the Project report on Content based image retrieval system. ....etc

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i am doing research in cbir. I wish to know how to connect database with matlab , how to index the feature vectors and images then how to retrieve. ....etc

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we require uml diagrams for Efficient Relevance Feedback for Content-Based Image Retrieval by Mining User Navigation Patterns.



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Submitted to:
Ms. Mamta Sakpal
Ms. Sushma Khatri
Ms. Preeti Jain

Submitted by:
Prakhar Jain (67)
Pranjal Solanki(69)
Prerna Sisodia(72)
Mr. Raman Bhati


1. Introduction

1.1 Purpose
In last few years the potential growth in digitization of images has occurred,with immense amount of information flowing and stored in the database of world wide web.the No. of users exploiting the WWW ha ....etc

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I want the UML diagrams for sketch4match content based image retrieval system using sketches.
so can i get the diagrams? ....etc

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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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IMPROVING PERFORMANCE OF CONTENT BASED IMAGE RETRIEVAL SYSTEM USING FEATURE PROCESSING AND RELEVANCE FEEDBACK



By
KHURRAM JAWAD
Supervised By
Mr Fazl-e-Basit



Abstract

Content based image retrieval (CBIR) system is responsible for searching image database for specific image features like, color, texture and shape. Feature Processing includes extracting different features from the images and then forming a weight vector from the extracted features by normalizing these features. ....etc

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ABSTRACT
We propose a new “content-free” image retrieval methodwhich attempts to exploit certain common tendencies thatexist among people’s interpretation of images from user feedbacks.The system simply accumulates records of user feedbackand recycles them in the form of collaborative filtering.We discuss various issues of image retrieval, argue forthe idea of content-free, and present results of experiment.The results indicate that the performance of content-freeimage retrieval improves with the number of accumulatedfeedbacks, o ....etc

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Presented By:
Jaya Krishna.P , Prem Kumar.M
Nimra College Of Engineering &Technology



Abstract



Interest in the potential of digital images has increased enormously over the

last few years, fuelled at least in part by the rapid growth of imaging on the World-Wide

Web. Users in many professional fields are exploiting the opportunities offered by the

ability to access and manipulate remotely-stored images ....etc

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