2-scene comic creating system based on the distribution of picture state transition

Abstract

Understanding picture by computer has become one of the most important topics in computer science. However, there are few researches have been reported about human like picture understanding by computer. The main reason of difficulty is that lots of picture expressions contain more lyric aspect than natural language expressions. Comic is one of the best target of picture understanding researches because pictures in comics express simply and clearly story, therefore we can presume that pictures in comics have strong universality. Picture understanding is defined as understanding situations and estimating transition between current scene and next scene. In this paper, The novel method which generates pictures using prepared picture parts and image objects databases is proposed. We also show the 2-scene comics creating system using user inputs picture and propose the representation of picture state transition. © Springer International Publishing Switzerland 2014.