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A Context-Aware Image Generation Method for Assisted Design of Movie Posters Using Generative Adversarial Network.
- Source :
- Journal of Circuits, Systems & Computers; Sep2023, Vol. 32 Issue 13, p1-16, 16p
- Publication Year :
- 2023
-
Abstract
- Considering the continuous development of the film industry and the improvement of the living standard among people, movies have gradually come to the civilians. A good movie poster can effectively reflect the content of the movie, attract the audience, stimulate the demand and achieve a good publicity effect. The current movie poster design work is mainly carried out by professional designers, which requires a lot of time and labor cost. In this paper, we propose a context-aware image generation method for assisted design of movie posters using generative adversarial network (named as MPAD-CIP for short). First, the basic information and visual contents of the movie are perceived, and the representative images are extracted, with the use of convolution operations. Then, a backbone network of deep convolutional generative neural network is formulated to generate images for summary of movies. The backbone network is composed of two components: a generator and a discriminator. Their combination realizes the computer-assisted movie poster design by sensing visual context. In the experimental part, the proposed MPAD-CIP method is compared with several benchmark models to demonstrate that the posters generated by this paper are more realistic and versatile, and some of the generated posters are exhibited. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02181266
- Volume :
- 32
- Issue :
- 13
- Database :
- Complementary Index
- Journal :
- Journal of Circuits, Systems & Computers
- Publication Type :
- Academic Journal
- Accession number :
- 169947300
- Full Text :
- https://doi.org/10.1142/S021812662350233X