Image Classification and retrieval on the Basis of fusion of features

Project Title

Image Classification and retrieval on the Basis of fusion of features

Project Area of Specialization Artificial IntelligenceProject Summary

In this study project, our aim is to explore the research in the area of image classification that will be based on the fusion of mid-level image features.

Project Objectives

We aim to reduce the semantic gap between the feature representation and high-level visual concepts through a novel image representation that will be based on fusion of mid-level features to obtain higher classification accuracy.

Project Implementation Method

we have to study to the features and their computational cost that are already working for image classification. then we have to apply local and mid level features for our images dataset. After analyzing the complexity we merge some mid-level features that will produce better computational cost and high accuracy then the out put of their individual implication

Benefits of the Project

This research will definitely reduce computation cost of image classification and will also increase the classification accuracy.

Technical Details of Final Deliverable

The final deliverable is the new research that will point out the concept of new mid-level feature's fusion in the image classification and will highlight the benefits of this fusion in the form of high accuracy.

Final Deliverable of the Project Software SystemType of Industry IT Technologies OthersSustainable Development Goals Quality EducationRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	3000
Thesis Report	Miscellaneous	3	1000	3000