CineChroma
Cinematic color palette extraction and analysis
Overview
CineChroma is a Python-based tool that extracts dominant color palettes from video frames to analyze visual patterns in cinema. It supports creative research, film studies, and automated aesthetic analysis.
Problem
Manual analysis of color composition across films is time-consuming and subjective, making large-scale visual trend analysis impractical.
Solution
CineChroma automates frame extraction using FFmpeg and applies clustering algorithms via OpenCV to identify dominant color distributions.
Technologies
Python FFmpeg OpenCV
Outcome
Enabled automated comparison of visual palettes across films and scenes, supporting both academic and creative workflows.