Multi-label movie genre detection from a movie poster using knowledge transfer learning
K Kundalia, Y Patel, M Shah - Augmented Human Research, 2020 - Springer
The task of predicting a movie genre from its poster can be very challenging owing to the
high variability of movie posters. A novel approach for the generation of a multi-label movie …
high variability of movie posters. A novel approach for the generation of a multi-label movie …
Leveraging long and short-term information in content-aware movie recommendation via adversarial training
Movie recommendation systems provide users with ranked lists of movies based on
individual's preferences and constraints. Two types of models are commonly used to …
individual's preferences and constraints. Two types of models are commonly used to …
Multilabel Genre Prediction Using Deep-Learning Frameworks
In this study, transfer learning has been used to overcome multilabel classification tasks. As
a case study, movie genre classification by using posters has been chosen. Six state-of-the …
a case study, movie genre classification by using posters has been chosen. Six state-of-the …
Movie genre classification using binary relevance, label powerset, and machine learning classifiers
Multi-label text classification (MLTC) is a technique to categorize texts into more than a
single category and used extensively in various real-life problems. Such classifications …
single category and used extensively in various real-life problems. Such classifications …
SigmoidF1: A smooth F1 score surrogate loss for multilabel classification
Multiclass multilabel classification is the task of attributing multiple labels to examples via
predictions. Current models formulate a reduction of the multilabel setting into either multiple …
predictions. Current models formulate a reduction of the multilabel setting into either multiple …
Poster-based multiple movie genre classification using inter-channel features
JA Wi, S Jang, Y Kim - IEEE Access, 2020 - ieeexplore.ieee.org
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 …
also growing. The genre of a movie supplies information on its overall content and has …
A multi-label movie genre classification scheme based on the movie's subtitles
Prediction of movie genres is an intriguing problem that has several applications in
designing recommendation systems for the audiences, analyzing movie box office …
designing recommendation systems for the audiences, analyzing movie box office …
Linear ordering problem based classifier chain using genetic algorithm for multi-label classification
One of the most challenging tasks in multi-label classification is to identify label
interdependence. Classifier Chain is the most prevalent method that utilizes label …
interdependence. Classifier Chain is the most prevalent method that utilizes label …
Indirect: Language-guided zero-shot deep metric learning for images
Abstract Common Deep Metric Learning (DML) datasets specify only one notion of similarity,
eg, two images in the Cars196 dataset are deemed similar if they show the same car model …
eg, two images in the Cars196 dataset are deemed similar if they show the same car model …
ASTS: attention based spatio-temporal sequential framework for movie trailer genre classification
Y Yu, Z Lu, Y Li, D Liu - Multimedia Tools and Applications, 2021 - Springer
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 …
diverse content and high-level sequential semantic concepts within the movie storyline …