Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668542
Funder
Australian Research Council
Funding Amount
$425,000.00
Summary
Multimedia Computing, Production, Management and Distribution for HDTV and its Applications. Australia is the first country to launch digital TV nationally. Increasingly, this platform will be used for consuming multimedia information; also the HDTV infrastructure is being applied to other domains such as telemedicine/e-Health to lower costs and improve effectiveness. For Australia to be a step ahead in the development of these applications that are beneficial to a wider community, we have to lo ....Multimedia Computing, Production, Management and Distribution for HDTV and its Applications. Australia is the first country to launch digital TV nationally. Increasingly, this platform will be used for consuming multimedia information; also the HDTV infrastructure is being applied to other domains such as telemedicine/e-Health to lower costs and improve effectiveness. For Australia to be a step ahead in the development of these applications that are beneficial to a wider community, we have to look forward and establish adequate infrastructure for the development of needed applications of the future. It is strongly believed that by doing so we can position ourselves ahead of other communities in anticipating and providing essential services to our modern society and this in turn will greatly benefit the Australian economy.Read moreRead less
Special Research Initiatives - Grant ID: SR0354584
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
ARC Research Network in Multimedia Technology and Applications (MTA). Multimedia Information Technology is becoming a major stream for modern computers, networks, and new platforms (e.g. embedded-systems, mobile-phones, PDAs, digital-TV) in various applications, including media production and e-healthcare where Australia has tremendous strengths. This proposal aims to bring top researchers in the related areas, including IT, Healthcare, Architecture and Visual-arts, to push a new technological w ....ARC Research Network in Multimedia Technology and Applications (MTA). Multimedia Information Technology is becoming a major stream for modern computers, networks, and new platforms (e.g. embedded-systems, mobile-phones, PDAs, digital-TV) in various applications, including media production and e-healthcare where Australia has tremendous strengths. This proposal aims to bring top researchers in the related areas, including IT, Healthcare, Architecture and Visual-arts, to push a new technological wave in Australia, to provide its value promised to Australian business, and to take international leadership in multimedia computing. Its outcome includes the formation of research teams, coordinated by a board, for 10 programs, and a CSCW-system & related website to facilitate the group work.Read moreRead less
Application Frameworks for Collaborative Learning. We will pioneer the use of key software engineering techniques - design patterns and application frameworks - to reduce the cost and improve the quality of online collaborative learning activities. For the first time, we will combine software engineering and educational knowledge to use design patterns to describe best practice for these activities in engineering terms; we will use application frameworks to aggregate these patterns and implement ....Application Frameworks for Collaborative Learning. We will pioneer the use of key software engineering techniques - design patterns and application frameworks - to reduce the cost and improve the quality of online collaborative learning activities. For the first time, we will combine software engineering and educational knowledge to use design patterns to describe best practice for these activities in engineering terms; we will use application frameworks to aggregate these patterns and implement them as a readily usable tool. The result will be a powerful new generation of stable collaborative eLearning tools with enhanced scalability, interoperability and adaptability.Read moreRead less
Indexing Large Video Databases to Support Efficient Query Processing. This project aims to develop breakthrough database technology that leverages the advances in video data capturing, computer vision based object recognition, multimedia tagging, large scale database systems and parallel processing, to provide the capability of managing massive video data with enriched semantic information and enabling database-like flexible and efficient video information search. It is expected to establish a n ....Indexing Large Video Databases to Support Efficient Query Processing. This project aims to develop breakthrough database technology that leverages the advances in video data capturing, computer vision based object recognition, multimedia tagging, large scale database systems and parallel processing, to provide the capability of managing massive video data with enriched semantic information and enabling database-like flexible and efficient video information search. It is expected to establish a new data management and processing foundation for big video data analytics.Read moreRead less
Big temporal graph processing in the Cloud. This project aims to develop efficient and scalable algorithms to process big temporal graphs in the Cloud. In particular, we will investigate three most representative types of queries over big temporal graphs including vertex-based queries, path-based queries, and subgraph-based queries. Expected outcomes of this project include theoretical foundations and scalable algorithms to process big temporal graphs as well as a system prototype for evaluation ....Big temporal graph processing in the Cloud. This project aims to develop efficient and scalable algorithms to process big temporal graphs in the Cloud. In particular, we will investigate three most representative types of queries over big temporal graphs including vertex-based queries, path-based queries, and subgraph-based queries. Expected outcomes of this project include theoretical foundations and scalable algorithms to process big temporal graphs as well as a system prototype for evaluation and to demonstrate the practical value. Success in this project should see significant benefits for many important applications such as cybersecurity, e-commerce, health and road networks.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100668
Funder
Australian Research Council
Funding Amount
$435,000.00
Summary
Towards Processing of Big Streaming Temporal Graphs. This project aims to develop efficient and scalable algorithms to process big streaming temporal graphs, which is in high demand for many data-intensive applications such as cybersecurity, crime monitoring, and e-marketing. In particular, I will investigate three most representative types of queries including vertex-based queries, path-based queries, and subgraph-based queries. Expected outcomes of this project include theoretical foundations ....Towards Processing of Big Streaming Temporal Graphs. This project aims to develop efficient and scalable algorithms to process big streaming temporal graphs, which is in high demand for many data-intensive applications such as cybersecurity, crime monitoring, and e-marketing. In particular, I will investigate three most representative types of queries including vertex-based queries, path-based queries, and subgraph-based queries. Expected outcomes of this project include theoretical foundations and scalable algorithms to process big streaming temporal graphs as well as a system prototype for evaluation and to demonstrate the practical value. Success in this project should see significant benefits for many important applications such as cybersecurity, e-commerce, health and social analysis.Read moreRead less
Next-Generation Distributed Graph Engine for Big Graphs. This project aims to develop an efficient and scalable distributed graph engine to process big graphs. In particular, we will investigate the foundations for the distributed real-time graph engine, focusing on graph storage and graph operators, and then provide solutions for a set of representative graph mining and query processing tasks. Expected outcomes of this project include theoretical foundations and a scalable real-time graph engin ....Next-Generation Distributed Graph Engine for Big Graphs. This project aims to develop an efficient and scalable distributed graph engine to process big graphs. In particular, we will investigate the foundations for the distributed real-time graph engine, focusing on graph storage and graph operators, and then provide solutions for a set of representative graph mining and query processing tasks. Expected outcomes of this project include theoretical foundations and a scalable real-time graph engine to process big graphs as well as a system prototype for evaluation and to demonstrate the practical value. Success in this project should see significant benefits for many important applications such as cybersecurity, e-commerce, health and road networks.Read moreRead less
Gesture-controlled interaction to enrich information access. This project is a study of gestural computing (enabled by sensors such as pressure mats, infra-red sensors and video tracking) which aims to move away from desk-bound, restrictive computing environments and towards computing that is more integral to the building structure and space itself. Linking gesture controllers and information sonification delivers a unique bridge between data and human interaction. Enriching the capacity to acce ....Gesture-controlled interaction to enrich information access. This project is a study of gestural computing (enabled by sensors such as pressure mats, infra-red sensors and video tracking) which aims to move away from desk-bound, restrictive computing environments and towards computing that is more integral to the building structure and space itself. Linking gesture controllers and information sonification delivers a unique bridge between data and human interaction. Enriching the capacity to access information in dense workplace environments is central to improved efficiency across the Australian workforce. Greater accuracy and enhanced techniques for controlling information in visually-overloaded work environments contribute to Australia's competitive leadership in a global marketplace.Read moreRead less
Service Ecosystems Management for Collaborative Process Improvement. Australian government agencies currently explore opportunities for streamlining their business processes. A promising approach relates to the improvement of cross-agency processes based on service-enabled technologies. This project will use requirements within Queensland Government for the design of a service ecosystem and methodological and management concepts to derive a general framework for intra-organisational ecosystems. ....Service Ecosystems Management for Collaborative Process Improvement. Australian government agencies currently explore opportunities for streamlining their business processes. A promising approach relates to the improvement of cross-agency processes based on service-enabled technologies. This project will use requirements within Queensland Government for the design of a service ecosystem and methodological and management concepts to derive a general framework for intra-organisational ecosystems. Though the focus will be on government processes, the project will generalise beyond this scope for a wider uptake of service ecosystems in Australian organisations. This will lead to reduced process costs and risks and will leverage the exploration of new revenue streams, e.g. shared services and reward schemes.Read moreRead less
New Graph Mining Technologies to Enable Timely Exploration of Social Events. This project aims to develop scalable and effective graph mining techniques for the timely exploration of social events that are the hottest happenings in online information networks. The research will primarily exploit the complex network structures and non-structural properties of streaming social data to report what is happening in a timely fashion. This project will lay the theoretical foundations of this emerging f ....New Graph Mining Technologies to Enable Timely Exploration of Social Events. This project aims to develop scalable and effective graph mining techniques for the timely exploration of social events that are the hottest happenings in online information networks. The research will primarily exploit the complex network structures and non-structural properties of streaming social data to report what is happening in a timely fashion. This project will lay the theoretical foundations of this emerging field to strengthen Australia’s world leadership role in data science. Practically, the novel theories and data analytics technologies developed will benefit the Australian economy and society by monitoring emergencies, tracking prevailing sentiments, and spotting investment opportunities through timely event responses.Read moreRead less