/twinspect-clip-pch

A comprehensive benchmarking framework for evaluating near-duplicate matching and similarity search of text, audio, image, and video content based on compact binary codes.

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

Twinspect with Additional CLIP Principal Component Hashing

Benchmark based on Twinspect.

This algorithm represents an innovative approach, integrating CLIP with the methodologies outlined in the paper by Yusuke Matsushita and Toshikazu Wada [1].

Reference

[1] Matsushita, Y., & Wada, T. (2009). Principal component hashing: An accelerated approximate nearest neighbor search. In Advances in Image and Video Technology: Third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009. Proceedings 3 (pp. 374-385). Springer Berlin Heidelberg.