Semantic Image Access with Intelligent User Interaction. Collaborating with the world class Microsoft Research lab on this project will put Australia in the leading position in the field of visual information access, foster new applications to enhance and accelerate visually enabled e-Research, and strengthen Australian ICT. This project will achieve significant advances in image access ranging from the personal level to the professional level, which will power Microsoft search technologies and ....Semantic Image Access with Intelligent User Interaction. Collaborating with the world class Microsoft Research lab on this project will put Australia in the leading position in the field of visual information access, foster new applications to enhance and accelerate visually enabled e-Research, and strengthen Australian ICT. This project will achieve significant advances in image access ranging from the personal level to the professional level, which will power Microsoft search technologies and bring enormous economic benefits to Australia. The advances will encourage Australians to widely use visual information. The benefits of this project can also reach the area of Safeguarding Australia by intelligently and automatically collecting and analyzing massive images.Read moreRead less
Multi-resolution spatial query processing. The cost of spatial query processing is directly related to spatial data complexity and accuracy. While spatial data is often stored in a database with the highest level of detail available, not all applications require the same level of detail. Recognising the difficulties of multiple representations of spatial data, in this project we propose to use multi-resolution data structures as a new foundation for efficient, application-dependent, on-demand de ....Multi-resolution spatial query processing. The cost of spatial query processing is directly related to spatial data complexity and accuracy. While spatial data is often stored in a database with the highest level of detail available, not all applications require the same level of detail. Recognising the difficulties of multiple representations of spatial data, in this project we propose to use multi-resolution data structures as a new foundation for efficient, application-dependent, on-demand derivation of data at different resolution levels. The systematic approach adopted in this project has the potential to deliver performance improvement that previous algorithm-level-only research cannot match.Read moreRead less