Introduction

-DUE to the rapidly growing amount of digital image data on the Internet and in digital libraries, there is a great need for large image database management and effective image retrieval tools.
-Content-based image retrieval (CBIR) is the set of tech niques for searching for similar images from an image database using automatically extracted image features. ....etc

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Active Learning Methods for Interactive Image Retrieval

Abstract:

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 clas ....etc

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Hi,
visit this page link for a brief introduction to this topic:
http://seminarsprojects.net/Thread-active-learning-methods-for-interactive-image-retrieval-image-processing ....etc

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a memory learning framework for effective image retrieval on ppt

Abstract

Most current content-based image retrieval systems are still incapable of providing users with their desired results. The major difficulty lies in the gap between low-level image features and high-level image semantics. To address the problem, this study reports a framework for effective image retrieval by employing a novel idea of memory learning. It forms a knowledge memory model to store the semantic information by simply accumulating user-provided interactions. A le ....etc

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active learning methods for interactive image retrieval ppt

Active learning methods for interactive image retrieval project are a 2008 cse project which is implemented in asp.net platform. In this project we cover the concept of image retrivel for searching images in database based on query concept.

In this paper we propose a content based image retrieval method which works on query based search. When user searches for images on search result using this method top most results in database are displayed to the user and it is followed by a inte ....etc

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i want all the details about this project named a memory learning framework for effective image retrieval including reports, ppt, code and help in various algorithms used in this project like gabor algorithm and distance euclidean matrix.
aditya kumar
B.E(4th year) ....etc

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to get information about the topic supervised learning of semantic classes for image annotation and retrieval full report ppt and related topic refer the page link bellow
http://seminarsprojects.net/Thread-supervised-learning-of-semantic-classes-for-image-anotation-and-retrieval ....etc

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Memory Learning Framework for Effective Image Retrieval on Medical images
IEE Transactions on Image Processing, Vol. 14, No. 4, April 2005
Language: Java

Abstract:
Most current content-based image retrieval systems are still incapable of providing users with their desired results. The major difficulty lies in the gap between low-level image features and high-level image semantics. To address the problem, this study reports a framework for effective image retrieval by employing a novel idea of memory learning. It forms a knowledge ....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, a lot of extensions are now being proposed to handle multim ....etc

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Abstract A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as
classification problems where each class is defined as the group of database images labeled with a common semantic label. It is
shown that, by establishing this one-to-one correspondence between semantic labels and semantic classes, a minimum probability of
error annotation and retrieval are feasible with algorithms that are 1) conceptually simple, 2) computationally efficient, and 3) do not
require prior sema ....etc

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