Advertising Movie Evaluation System using UNISAL Transfer Learning

Abstract

Advertising movie evaluation system with UNISAL based saliency map estimation which is customized via transfer learning is proposed for movie creators in an advertising agency company to improve movie quality from viewpoint of advertising effect. The proposal provides saliency map of advertising movie candidates as objective viewpoint of audiences as like an internet user for implementation of smooth discussions with clients in video production process. Internet user’s viewpoint is shown clearly as movies with saliency map is output by the proposal, which is confirmed via two actual movie directors’ evaluation. The proposal opens new stage in advertising movie production process such as confirmation of users’ viewpoint for advertising movie blueprint and leads more effective directions.