Development of Automatic Generating System of Motion-Pictograms from Still-Pictograms

Pictograms convey meaning through graphic symbols; however, static pictograms have limitations, prompting research into animated pictograms (motion pictograms). While motion pictograms offer intuitive comprehension, their limited adoption results from higher production costs than their static counterparts. A potential solution to enhance motion pictogram adoption involves automating the generation process from still images using artificial intelligence. In this study, a pretrained model identified key constraints and challenges. Experimental results underscore the effectiveness of motion pictograms, emphasizing their advantages and paving the way for broader adoption and improved accessibility.