A convolutional neural networks based approach for clustering of emotional elements in art design.

ABSTRACT: The rapid advancement of industrialization has sparked the emergence of diverse art and design theories. As a trailblazer in the realm of industrial art and design theory, visual communication has transcended the boundaries of merely arranging and combining individual elements. Embracing the potential of artificial intelligence technology, the extraction of multidimensional abstract data and the acceleration of the art design process have gained considerable momentum. This study delves into the abstract emotional facets within the methodology of visual communication art design. Initially, convolutional neural networks (CNN) are employed to extract expressive features from the poster's visual information. Subsequently, these features are utilized to cluster emotional elements using a variat

SUBMITTER: Rui X 

PROVIDER: S-EPMC10495934 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature