Semantic Interaction TV Based on Spatial Relations and Ontology

We propose a novel T-commerce model based on semantic interaction, as the TV broadcasting environment is moving to interactive digital TV such as IPTV, Hybrid TV, and Smart TV. The purpose of our work is to design and implement the system of our new T-commerce model. Thus, our system applies spatial relation rules and ontology for object recognition if a viewer is interested in one on the screen of TV program such as drama, movie, and news. All object information needs to be annotated in a TV program to identify the user selection. However, the effort must be reduced, as it costs too much. The program can be identified as an annotated item, a combination of known base area and spatial relations to the user selection, even though it does not have the exact position. The TV system can semantically interact with the user via this combination. A prototype system, semantic interaction TV, has been implemented to achieve this semantic interaction. Our case studies show that the proposed system is useful to T-commerce.