Subjective explanations of pictures considering consistency between pictures

This paper describes the system that outputs linguistic expressions of pictures considering consistency of their contents and connections, where pictures are given in any order. Picture information obtained from given pictures is inputted into the system. The system gets descriptions of basic contents of each picture using neural network models, fuzzy reasoning and case-based reasoning. The connective relationships between pictures are also explained using case-based reasoning. If the contradictory relationships between pictures are obtained, they are eliminated from linguistic expressions. The system outputs linguistic expressions including basic contents of pictures and relationships between pictures. Finally, simulation experiments show that the presented system is useful.