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Edge Histogram Descriptor (EHD) of Mpeg-7 for Image Retrieval

Edge Histogram Descriptor (EHD) of MPEG-7 family is explained. It is shown that EHD is one of the effective visual descriptors which focuses on the spatial edge distribution in an image. EHD mainly captures five types of edge orientations such as Vertical, Horizontal, Diagonal 45, Diagonal 135 and isotropic.
This EHD is compact in size and is just length of 80 points. If the global bin is also attached then it becomes of size 85. Due to the small size, it is suitable for fast image search. In this video, Theory of EHD, its implementation in MATLAB and its effectiveness in image retrieval is shown.

This video has the following contents:
* What is Content-Based Image Retrieval (CBIR)? 
* MPEG-7 Visual Descriptors.
* Edge Histogram Descriptor (EHD).
* Steps to compute EHD.
* MATLAB Code for implementing EHD.
* Applying EHD on images and interpreting the outcome.
* Using EHD for image retrieval.

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