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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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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Abstract:
In todayâ„¢s era most of the application systems are in use in the area of Mobile Computing, Geographic Information Systems (GIS) and Geographical Positioning Systems (GPS). These are generally based on JAVA. Vector maps (e.g. road maps) are widely used in a variety of applications such as Geographic Information Systems (GIS), Intelligent Transportation Systems (ITS) and Mobile Computing. However, large size of vector maps is the one of the reasons which affects these systems. The problem of usage and application in these systems ....etc

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Hii,..PAL....
I need the project which you've done..!!
Please getback to my mail;
as early as possible....I'm working on it...And it would be additive for me if I get through the whole project....Give me access by mailing it at
[email protected] ....etc

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pFusion: A P2P Architecture for Internet-Scale Content-Based Search and Retrieval

Abstract”The emerging Peer-to-Peer (P2P) model has become a very powerful and attractive paradigm for developing Internet-scale systems for sharing resources, including files and documents. The distributed nature of these systems, where nodes are typically located across different networks and domains, inherently hinders the efficient retrieval of information. In this paper, we consider the effects of topologically aware overlay construction techniques o ....etc

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request:sir please send me full information about this project and ppt if possible what are the active methods for interactive image retrieval

my project abstract:
title:active learning methods for interactive image retrieval

RGB BASED IMAGE SEARCH ENGINE


Abstract:

Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, ....etc

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sir please send ppt , code etc for hairis : automatic image registration through histogram based image segmentation
mail id : [email protected] ....etc

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Image Search Engine.

The image searching technology is similar to the websearching. But the spider crawler will take care of only images.

The keywords for the image search are based on the filename of the image, the page link text pointing to the image, and text adjacent to the image. When the crawler encountered an image, a thumbnail will be cached along with the keywords and orginal url.

When searching for an image each matching image is displayed. Then when clicking on a thumbnail, the image is displayed in a frame at the top of the ....etc

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What is the meaning of image utility in active learning methods for interactive image retrieval based on RETIN strategy? ....etc

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ACTIVE LEARNING METHODS FOR INTERACTIVE IMAGE RETRIEVAL - IMAGE PROCESSING

Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensions are now being proposed to handle multimedia applications. This paper provides algorithms within a statistical framework to extend active learning for online content-based image retrieval (CBIR). The classification framework is presented with experiments to compare several powerful cla ....etc

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