This paper considers the problem of leveraging multiple sources of information or data
modalities (eg, images and text) in neural networks. We define a novel model called gated …

We propose to achieve movie genre classification based only on movie poster images. A
deep neural network is constructed to jointly describe visual appearance and object …

As the scale of the film industry grows, the demand for well-established movie databases is
also growing. The genre of a movie supplies information on its overall content and has …

Demand forecasting a film's opening weekend box office revenue is a difficult and complex
task that decision-makers face due to a lack of historical data and various complex factors …

In this paper, we present the framework, SEMPD (the Semantic Extraction of Movie poster
based on fundamental of poster Design) for multi-label genre classification in the state of …

Classification of movies into genres from the accompanying promotional materials such as
posters is a typical multi-label classification problem. Posters usually highlight a movie …

The poster of a movie is an essential tool in the film industry and a well-designed poster can
be pivotal towards the success of a movie. To ensure that a movie poster is designed to …

Movies can belong to more than one genre, so the problem of determining the genres of a
movie from its poster is a multi-label classification problem. To solve the multi-label problem …

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 …

In this study, we outline our efforts to create classifiers for microbial images, particularly
targeting diplococci images captured through microscopy of live (dynamic) samples. Our …