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Content Based Image Retrieval (CBIR) using Wavelet Features, CLD and EHD of MPEG-7

A Content-Based Image Retrieval (CBIR) system is implemented. This CBIR utilizes Color Layout Descriptor (CLD) for colour feature extraction and Wavelets and Edge Histogram Descriptor (EHD) for extraction of texture features.
This CBIR uses a feature vector of just length of 181 and it also shows enough robustness against distorted input images.
The implementation is done in MATLAB.

This video has the following contents:
* What is Content-Based Image Retrieval (CBIR)? 
* CLD and EHD as feature vectors.
* Use of Wavelets for features extraction.
* Image Databases used for image retrieval.
* Training Procedure and Testing Procedure.
* Performance Parameters for a CBIR system.
* MATLAB code of complete CBIR system.

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