Using explicit ontologies in KBS development
International Journal of Human-Computer Studies
Digital Image Processing
Show&Tell: A Semi-Automated Image Annotation System
IEEE MultiMedia
Content Based Analysis for Video from Snooker Broadcasts
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Semantic annotation of soccer videos: automatic highlights identification
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Composing cardinal direction relations
Artificial Intelligence
Qualitative Spatial Representation and Reasoning: An Overview
Fundamenta Informaticae - Qualitative Spatial Reasoning
Evaluation of shape similarity measurement methods for spine X-ray images
Journal of Visual Communication and Image Representation
Hi-index | 0.00 |
The wide use of the Internet and the increasingly improvement of communication technologies have led users to need to manage multimedia information. In particular, there is an ample consensus about the necessity of new computational systems capable of processing images and “understand” what they contain. Such systems would ideally allow to retrieve multimedia content, to improve the way of storing it or to process the images to get some information interesting for the user. This paper presents a methodology for semi-automatically extracting knowledge from 2D still visual multimedia content, that is, images. The knowledge is acquired through the combination of several approaches: computer vision (to get and to analyse low level features), qualitative spatial analysis (to obtain high level information from low level features), ontologies (to represent knowledge), and MPEG-7 (to describe the information in a standard-way and make the system capable of performing queries and retrieve multimedia content).