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DAUIN - GR-04 - DATABASE AND DATA MINING GROUP - DBDM

Color grading style classification through Vectorscopes and CNNs

keywords COMPUTER VISION, SUPERVISED DEEP LEARNING, COLOR G

Reference persons TANIA CERQUITELLI

External reference persons VACCHETTI BARTOLOMEO (https://www.dauin.polito.it/it/personale/scheda/(nominativo)/bartolomeo.vacchetti)

Research Groups DAUIN - GR-04 - DATABASE AND DATA MINING GROUP - DBDM

Thesis type DATA ANALYSIS & MODELING

Description Color has a deep impact on the viewer's perception of a movie. This project aims to characterize the different color styles of films in relation to their genre using vectorscopes. A vectorscope is a commonly used tool for color grading and color correction. The student will:

++ create a vectorscope dataset
++ train a neural network to test the methodology
++ analyze and interpret the results

See also  https://smartdata.polito.it/creativity-injection-into-ai-powered-multimedia-storyboards/

Required skills Python programming, image processing, Machine Learning techniques


Deadline 31/07/2023      PROPONI LA TUA CANDIDATURA




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