A Qualitative Image Descriptor QIDL
Falomir Zoe · Frontiers in artificial intelligence and applications · 2017
A model for obtaining a real-world scene narrative using qualitative features of shape, colour, topology, location and size is presented in this paper (QIDL+N). Its main aim is describing the location of target objects with respect to known or unknown objects in a scene. The QIDL+N produces: (i) a logical description in Prolog for users to solve queries on the knowledge base built for each scene or for agents to reason about that scene; and (ii) a narrative in English language to read or listen to which may improve human-AmI-systems interaction, specially helping those users with special needs. A use case of a top desk scene is used to illustrate the approach and promising results are obtained.