Demo of Content Based Image Retrieval, implemented by Python and Tornado.

Image descriptors

• perceptual hash, otsu hash
• gray/rgb/yuv/hsv histograms
• GIST
• HoG and LSH (built by kmeans clustering)
• SIFT and LSH (built by kmeans clustering)
• Dense SIFT

Distance functions

• hamming distance (L0)
• norm0 distance (L0)
• abs distance (L1)
• eculidean distance (L2)

Simple re-ranking

• blending: mix results
• ensembling: weighted sum

Code structure

• util/: feature descriptors, feature and lsh preparation
• app/: http server, matching and retrieval
• templates/: html templates
• static/: datasets, js, css
• conf: log.conf, and for feature data
• logs: for log data
• settings.py: http port, common setting
• urls.py: url path

Run

• python main.py
• access http://localhost:19999/cbir