Technology Used

• Redis
• Python
• Haar Cascade Classifier
• OpenCV
• Flask and Jquery

Research Work Done

• Current work involves Image Search using MetaData or CBIR
• Working with CBIR gives preliminary but no accurate result for the samples
• There is currently no model present that clubs up CBIR, and Haar Cascade
• Our target will be to present one such model

Algorithm Used

CBIR Parameters to be used

COLOR: Image retrieval based on color actually means retrieval on color descriptors. Most commonly used color descriptors are the color histogram, color coherence vector, color correlogram, and color moments 

TEXTURE: Texture of an image is actually visual patterns that an image possesses and how they are spatially defined. Textures are represented by texels which are then placed into a number of sets, depending on how many textures are detected in the image. 

SHAPE:Shape in image does not mean shape of an image but it means that shape of a particular region or an object. Segmentation and edge detection are prominent tech- niques that can be used in shape detection 

Similarity Measurement :A similarity measurement is always selected to find how similar the two vectors are. The problem can be converted to computing the discrepancy between two vectors x,y ∈ Rd. There are three distance measurements: Euclidean, Mahalanobis, and chord distances 

Using Color

• Create a Database of Color features
• Gives user feasibility of own tag creation
• Used in wide scale application
• Create a proper bin model

Comparison between Color Histogram

Viola–Jones object detection framework

• Uses Haar feature-based cascade classifiers for Object Recognition.
• It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images.
• Need to meet large number of training samples is met by Adaboost Algorithm
• The paper says even 200 features provide detection with 95% accuracy

Proposed Architecture

WORK IMPLEMENTED

Using Viola-Jones framework we have implemented detection for several object

• Face detection using haar cascade face classifier
• Face and eye detection using haar cascade eye and frontalface classifier
• Hand detection using haar cascade hand classifier
• Car detection using haar cascade car classifier
• Used CBIR Feature to extract properties
• Add Image tagging facility
• Implement Upvote/Downvote algorithm
• Implemented Search Engine
• Implemented User Interface

Screenshots

Biblography:

• Open CV Official Documentation

• Research paper on Cascade-Classifier 

• Haar-Classifier Training Manual

• Research paper on Viola-Jones Framework 

• Casscade-Classifier Traning Module

• Hand Gesture Control Tutorial

• Research paper for Distributed System Image Processing

• About Map Reduce

• Hadoop Image Processing Interface

Project Hosted at:

Github

Thank you :)