The amount of adult content on the Internet grows daily. Much of the pornographic content is
unconstrained and freely-available for all users, requiring parents to make use of parental …

The task of labeling movies according to their corresponding genre is a challenging
classification problem, having in mind that genre is an immaterial feature that cannot be …

In this paper, we propose a novel approach for classifying both the sentiment and the
language of tweets. Our proposed architecture comprises a convolutional neural network …

Automatic movie trailer genre classification is a challenging task because trailers have more
diverse content and high-level sequential semantic concepts within the movie storyline …

This research delves into the concept of color grading in film, focusing on how color
influences the emotional response of the audience. The study commenced by recalling state …

Nowadays there are more than 250 million visually-impaired people worldwide and mobility
autonomy in outdoor environments is perhaps the greatest challenge they have to face …

The movie domain is one of the most common scenarios to test and evaluate recommender
systems. These systems are often implemented through a collaborative filtering model …

This paper proposes a novel neural network architecture for multi-label movie genre
classification based on the textual synopsis of the movie. We design an architecture that …

There is a constant influx of movies every year in the entertainment industry. A crucial
ingredient that helps movies succeed at the box office is its trailer. A trailer helps a viewer …

Accessing to the best matching multimedia data is a trending topic due to the enormous
amount of demand from people for movies, online TV series, videos etc. Advertising …