Results 11 to 20 of about 297,026 (361)
Personalized Movie Recommendations Based on a Multi-Feature Attention Mechanism with Neural Networks
Mathematics, 2023 With the rapid growth of the Internet, a wealth of movie resources are readily available on the major search engines. Still, it is unlikely that users will be able to find precisely the movies they are more interested in any time soon.
Ming Guo +2 more
exaly +2 more sources
International Journal of Computer Vision, 2017 Audio Description (AD) provides linguistic descriptions of movies and allows visually impaired people to follow a movie along with their peers. Such descriptions are by design mainly visual and thus naturally form an interesting data source for computer vision and computational linguistics.
Anna Rohrbach +7 more
openaire +4 more sources
Long Movie Clip Classification with State-Space Video Models [PDF]
European Conference on Computer Vision, 2022 Most modern video recognition models are designed to operate on short video clips (e.g., 5-10s in length). Thus, it is challenging to apply such models to long movie understanding tasks, which typically require sophisticated long-range temporal reasoning.
Md. Mohaiminul Islam, Gedas Bertasius
semanticscholar +1 more source
AutoAD: Movie Description in Context [PDF]
Computer Vision and Pattern Recognition, 2023 The objective of this paper is an automatic Audio Description (AD) model that ingests movies and outputs AD in text form. Generating high-quality movie AD is challenging due to the dependency of the descriptions on context, and the limited amount of ...
Tengda Han +5 more
semanticscholar +1 more source
MovieFactory: Automatic Movie Creation from Text using Large Generative Models for Language and Images [PDF]
ACM Multimedia, 2023 In this paper, we present MovieFactory, a powerful framework to generate cinematic-picture (3072x1280), film-style (multi-scene), and multi-modality (sounding) movies on the demand of natural languages. As the first fully automated movie generation model
Junchen Zhu +8 more
semanticscholar +1 more source
Movie101: A New Movie Understanding Benchmark [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 To help the visually impaired enjoy movies, automatic movie narrating systems are expected to narrate accurate, coherent, and role-aware plots when there are no speaking lines of actors.
Zihao Yue +5 more
semanticscholar +1 more source
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions [PDF]
Computer Vision and Pattern Recognition, 2021 The recent and increasing interest in video-language research has driven the development of large-scale datasets that enable data-intensive machine learning techniques.
Mattia Soldan +6 more
semanticscholar +1 more source
Efficient Movie Scene Detection using State-Space Transformers [PDF]
Computer Vision and Pattern Recognition, 2022 The ability to distinguish between different movie scenes is critical for understanding the storyline of a movie. However, accurately detecting movie scenes is often challenging as it requires the ability to reason over very long movie segments.
Md. Mohaiminul Islam +4 more
semanticscholar +1 more source
Alexandria Engineering Journal, 2022 The construction of ecological civilization education for art education in China's colleges and universities is based on the ecological environment. After understanding the basic situation of students, it cultivates college students' artistic exercise ...
Feifei Zhang, Junkun Yang
doaj +1 more source
GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation [PDF]
Expert systems with applications, 2021 Research about recommender systems emerges over the last decade and comprises valuable services to increase different companies' revenue. Several approaches exist in handling paper recommender systems.
Zahra Zamanzadeh Darban +1 more
semanticscholar +1 more source