2017/04/07 by Yuta Matsuzaki, Kazushige Okayasu, Matsuzaki, Yuta +13
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Video Analysis and Summarization #cs.CV
paper · pdf · doi:10.48550/arxiv.1704.02199
4 pages, 4 figures
arxiv created 2017/04/07 · openalex publication_date 2017/04/07 · arxiv updated 2017/04/10 · openalex created_date 2017/04/28 · openalex updated_date 2026/07/28
In this paper, we aim to estimate the Winner of world-wide film festival from the exhibited movie poster. The task is an extremely challenging because the estimation must be done with only an exhibited movie poster, without any film ratings and box-office takings. In order to tackle this problem, we have created a new database which is consist of all movie posters included in the four biggest film festivals. The movie poster database (MPDB) contains historic movies over 80 years which are nominated a movie award at each year. We apply a couple of feature types, namely hand-craft, mid-level and deep feature to extract various information from a movie poster. Our experiments showed suggestive knowledge, for example, the Academy award estimation can be better rate with a color feature and a facial emotion feature generally performs good rate on the MPDB. The paper may suggest a possibility of modeling human taste for a movie recommendation.