Movie Genre Classification from RGB Movie Poster Image Using Deep Feed-forward Network

Abstract

A movie poster image is one of the important media in the filmmaking process, providing valuable information about the movie, such as movie titles, characters, and genres. Identifying a movie genre from a poster can be a daunting task, as it can relate to multiple genres. To solve this problem, this paper uses a deep feedforward neural network to classify movie genres from movie poster images. In this regard, we used and trained a state-of-the-art InceptionV3 deep neural network. The network is trained on our dataset consisting of 36,423 movie poster images taken from the IMDB website, which is categorized into 28 genres. The model predicts the top three classes with the highest probability of a particular movie poster.

Analysis of Visual Elements on the Movie Poster Suzume

“…With the many awards the film "Suzume" already receiving, the study will review how a promotional movie display was made to attract the interested people to see it (Bin et al, 2019). This promotional film suzume no tajimare poster design shows not only the visual but also the poster image was impressed tell of the character suzume and to include some of the scenes seen on his movie promotional posters (Korai et al, 2021). So the writer was intrigued by the movie poster to find out the meaning the visual elements had on the movie poster (Iftikhar et al, 2019).…”