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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Hi,
I need to use FCC in multi-spectral image using Matlab for my project ....etc

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a. Reconstructing Orientation Field From Fingerprint Minutiae to Improve Minutiae-Matching Accuracy
b. Learning Scene Context for Multiple Object Tracking
b. Continuous Stereo Self-Calibration by Camera Parameter Tracking
c. Active Mask Segmentation of Fluorescence Microscope Images
d. A Unified Relevance Feedback Framework for Web Image Retrievel
e. A Shearlet Approach to Edge Analysis and Detection
f. A New Statistical Detector for DWT-Based Additive Image
g. A New Look to Multi channel Blind Image Deconvolution
h. A High-Capacity ....etc

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To get project report and source code of specific image processing projects topic please browse through http://studentbank.in/topic-electronics-electrical-instrumentation-applied-electronics-project-ideas


a. IMPLEMENTATION OF BQ ALGORITHM & ARITHMETIC CODING FOR DATA COMPRESSION.
b. NOISE CLEANING USING AVERAGING, MEDIAN AND ROTATING FILTERS & CONTRAST ENHANCEMENT USING GAMMA CORRECTION OF DIGITAL TRUE COLOR IMAGES
c. IMPLEMENTATION OF EDGE DETECTION TECHNIQUES USING MATLAB
d. IMPLEMENTATION OF SPATIAL ....etc

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1. Design of a New Security Protocol
2. Neural classifier with feature extraction
3. Lazy Flooding: A New Technique for Information
4. Competitor Mining with the Web
5. SensorNetworks Using Neural Networks
6. Dissemination in Distributed Network
7. Multimedia Clip Generation from Documents for Browsing on Mobile Devices
8. A Dynamic Clustering and Energy Efficient Routing Technique for Sensor Networks
9. Incentive-Based Scheduling for Market-Like Computational Grids
10. A Swarm-Intelligence-Based Protocol for Data Acquisition in Ne ....etc

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1. A synopsis of recent work in edge detection using the DWT
2. Automated estimation of the upper surface of the diaphragm in 3-D CT images
3. Adaptive bilateral filter for sharpness enhancement and noise removal
4. Phase shifting for Non-separable 2D Hear wavelets
5. Universal Impulse noise filter based on Genetic programming
6. Efficient Non-local mean for De-noising of Textural patterns
7. Dynamic De-noising of tracking sequences
8. Analysis and compensation of rolling shutter effect
9. Coherent multi-scale image processing using dua ....etc

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1.Weighted Adaptive Lifting-Based Wavelet Transform for Image Coding
2.A Run-Based Two-Scan Labeling Algorithm
3.Using Spanning Graphs for Efficient Image Registration
4.Continuous Sampling in Mutual-Information Registration
5.Universal Impulse Noise Filter Based on Genetic Programming
6.An Efficient Phase and Object Estimation Scheme for Phase-Diversity Time Series Data
7.A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
8.A Sparsity-Enforcing Method for Learning Face Features
9.A Fast Multil ....etc

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1. Novel Area-Efficient FPGA Architectures For Fir Filtering With Symmetric Signal Extension.
2. A VLSI Progressive Coding For Wavelet-Based Image Compression.
3. Spread Spectrum Image Watermarking With Digital Design.
....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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a) Implementation of image restoration.
b) Implementation of color optimization.
c) Image blur reduction using adaptive tonal correction
d) Image enhancement using histogram techniques
e) Implementation of visual cryptography using DH method.
f) Image segmentation and texture extraction for Number Recognition system.
g) Implementation of reverse watermarking system
h) Image denoising using DWT
i) Image denoising using ROF method.
j) Implementation of IMAGE steganography using LSB
k) JPEG compression using DCT.
l) Multi resolution w ....etc

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