Skip to content

anthonyrouss/image-analysis-project

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Image Analysis Assignment

This project is an implementation of image analysis techniques inspired by the paper "Multimedia Retrieval through Unsupervised Hypergraph-based Manifold Ranking". The goal is to explore and apply unsupervised hypergraph-based manifold ranking for image retrieval tasks.

Experiment Results

Our dataset consisted of images categorized into two classes: cats (label=0) and dogs (label=1).

image image image

Special thanks to

References

  • D. C. G. Pedronette, L. P. Valem, J. Almeida and R. da S. Torres, "Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. DOI: 10.1109/TIP.2019.2920526.

About

A university assignment implementing unsupervised hypergraph-based manifold ranking for image analysis.

Topics

Resources

License

Stars

Watchers

Forks

Languages