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

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...

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Main Authors: Mushtaque Ahmed Korai, Altaf Hussain Bouk, Abdul Hameed Sindhi
Format: Article
Language:English
Published: Yanbu Industrial College 2021-11-01
Series:Yanbu Journal of Engineering and Science
Online Access:https://doi.org/10.53370/001c.29615
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author Mushtaque Ahmed Korai
Altaf Hussain Bouk
Abdul Hameed Sindhi
author_facet Mushtaque Ahmed Korai
Altaf Hussain Bouk
Abdul Hameed Sindhi
author_sort Mushtaque Ahmed Korai
collection DOAJ
description 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.
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publishDate 2021-11-01
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series Yanbu Journal of Engineering and Science
spelling doaj-art-e8bf90f55c284a139063855ff2f055ab2025-08-20T01:48:02ZengYanbu Industrial CollegeYanbu Journal of Engineering and Science1658-53212021-11-0118110.53370/001c.29615Movie Genre Classification from RGB Movie Poster Image Using Deep Feed-forward NetworkMushtaque Ahmed KoraiAltaf Hussain BoukAbdul Hameed SindhiA 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.https://doi.org/10.53370/001c.29615
spellingShingle Mushtaque Ahmed Korai
Altaf Hussain Bouk
Abdul Hameed Sindhi
Movie Genre Classification from RGB Movie Poster Image Using Deep Feed-forward Network
Yanbu Journal of Engineering and Science
title Movie Genre Classification from RGB Movie Poster Image Using Deep Feed-forward Network
title_full Movie Genre Classification from RGB Movie Poster Image Using Deep Feed-forward Network
title_fullStr Movie Genre Classification from RGB Movie Poster Image Using Deep Feed-forward Network
title_full_unstemmed Movie Genre Classification from RGB Movie Poster Image Using Deep Feed-forward Network
title_short Movie Genre Classification from RGB Movie Poster Image Using Deep Feed-forward Network
title_sort movie genre classification from rgb movie poster image using deep feed forward network
url https://doi.org/10.53370/001c.29615
work_keys_str_mv AT mushtaqueahmedkorai moviegenreclassificationfromrgbmovieposterimageusingdeepfeedforwardnetwork
AT altafhussainbouk moviegenreclassificationfromrgbmovieposterimageusingdeepfeedforwardnetwork
AT abdulhameedsindhi moviegenreclassificationfromrgbmovieposterimageusingdeepfeedforwardnetwork