Adaptive Vector Filters for the Restoration of Digital Colour Images. Colour image restoration has very important applications in colour cameras, robotic navigation, video security systems, multimedia communications, and digital TV broadcast. Conventional vector filters have difficulty in simultaneously achieving three major objectives: noise suppression, detail preservation, and chromaticity retention. This project aims at formulating and evaluating novel adaptive filters to accomplish the th ....Adaptive Vector Filters for the Restoration of Digital Colour Images. Colour image restoration has very important applications in colour cameras, robotic navigation, video security systems, multimedia communications, and digital TV broadcast. Conventional vector filters have difficulty in simultaneously achieving three major objectives: noise suppression, detail preservation, and chromaticity retention. This project aims at formulating and evaluating novel adaptive filters to accomplish the three objectives simultaneously. Theoretical basis will be investigated for devising different adaptive filters to restore colour images and video sequences contaminated by various types of noise. The new filters will provide significant improvement over exiting techniques, yielding better tools and packages for colour image processing and restoration applications.Read moreRead less
Low-complexity Video Coding for Wireless Multimedia Sensor Networks. This project develops frontier technologies to capture and transmit videos by miniaturised sensing devices. It will improve Australia's telemetric surveillance capabilities and benefit defence, law enforcement, traffic control, and wildlife inhabitant monitoring agencies. It will enable the telecommunication industry to support quality video conferencing with mobile phones and the computer games industry to develop rich virtua ....Low-complexity Video Coding for Wireless Multimedia Sensor Networks. This project develops frontier technologies to capture and transmit videos by miniaturised sensing devices. It will improve Australia's telemetric surveillance capabilities and benefit defence, law enforcement, traffic control, and wildlife inhabitant monitoring agencies. It will enable the telecommunication industry to support quality video conferencing with mobile phones and the computer games industry to develop rich virtual reality games. The Australian health industry will be able to provide ubiquitous healthcare services through improved telemedicine and medical imaging with emerging technologies such as edible cameras. The project will also enable Australia to lead the world in setting up video coding standards for sensor networks.Read moreRead less
Modelling and Removal of Noise and Artefacts in Surveillance and Security Video for Forensic Image Analysis and Enhancement. This project spearheads research in advanced digital image and video processing technology, placing Australia at the forefront of both theoretical and applied research to safeguard Australia. It tackles fundamental issues identified in our earlier research in this area and consulting work for Victoria and NSW Police Departments in forensic investigations since 2000. Althou ....Modelling and Removal of Noise and Artefacts in Surveillance and Security Video for Forensic Image Analysis and Enhancement. This project spearheads research in advanced digital image and video processing technology, placing Australia at the forefront of both theoretical and applied research to safeguard Australia. It tackles fundamental issues identified in our earlier research in this area and consulting work for Victoria and NSW Police Departments in forensic investigations since 2000. Although the main investigation focuses on video surveillance and security systems for public safety, policing, crime prevention and border control, the outcomes of the investigation will have other applications, including digital photography for fine-art, medical imaging, picture archiving and communication systems for telemedicine and rural healthcare systems.Read moreRead less
Information Delivery from Segmented Textual Data Streams. This project will contribute to the advancement of ICT innovation in Australia by developing a robust, reusable language understanding engine. The technology will be tailored to web applications, in the form of a conceptually-aware web search engine capable of tracking cross-document dialogues and identifying the core semantic thread of the dialogue. It will place Australia at the forefront of next-generation language technology developme ....Information Delivery from Segmented Textual Data Streams. This project will contribute to the advancement of ICT innovation in Australia by developing a robust, reusable language understanding engine. The technology will be tailored to web applications, in the form of a conceptually-aware web search engine capable of tracking cross-document dialogues and identifying the core semantic thread of the dialogue. It will place Australia at the forefront of next-generation language technology development, with applications in areas including concept-based multi-document summarisation and email surveillance.Read moreRead less
Multiview video coding using cuboid data compression. This project investigates novel approaches to multiview video coding that use new data compression techniques and explicit occlusion handling. These new approaches complement the state-of-the-art, improving interactivity with instantaneous view change and VCR functionality, reducing encoding complexity, and increasing compression efficiency.
Discovering justified knowledge from data. Knowledge discovery from data has assumed a critical role in numerous areas of science, commerce and public administration. However, its effectiveness is limited by the undesirable propensity of current techniques to make many false, as well as real, discoveries. This research will rectify that problem, a critical outcome given the potential cost of making decisions or setting policy using flawed information. For example, it may prevent the adoption of ....Discovering justified knowledge from data. Knowledge discovery from data has assumed a critical role in numerous areas of science, commerce and public administration. However, its effectiveness is limited by the undesirable propensity of current techniques to make many false, as well as real, discoveries. This research will rectify that problem, a critical outcome given the potential cost of making decisions or setting policy using flawed information. For example, it may prevent the adoption of ineffective strategies for addressing land degradation; inappropriately targeted public health expenditure; expensive development and clinical trialing of drugs which prove ineffective; and wasted police and security investigations into unfounded suspicions of criminal or terrorist activity.Read moreRead less
Structural-functional connectivity in the brain. This project aims to develop magnetic resonance imaging analysis methods to non-invasively study brain connectivity. Recent advances in imaging can comprehensively describe the brain’s complex network of functional and structural connections (the brain ‘connectome’). This project will simultaneously investigate structural and functional connectivity, and characterise the dynamic properties of the connectome using graph-theoretic approaches. This p ....Structural-functional connectivity in the brain. This project aims to develop magnetic resonance imaging analysis methods to non-invasively study brain connectivity. Recent advances in imaging can comprehensively describe the brain’s complex network of functional and structural connections (the brain ‘connectome’). This project will simultaneously investigate structural and functional connectivity, and characterise the dynamic properties of the connectome using graph-theoretic approaches. This project should give neuroscientists computational tools to comprehensively map the network architecture of the human brain.Read moreRead less
Constraint-based Reasoning for Multi-agent Pathfinding. Automation is a transformative technology for logistics -- using robots to manipulate inventory allows warehouses to be more efficient, and larger-scale, than ever before. But doing this in practice requires efficient, reliable methods for coordinating ever-larger fleets of robots. These problems are extremely difficult, and current approaches either scale poorly or give weak or no guarantees on solution quality. The project will develop t ....Constraint-based Reasoning for Multi-agent Pathfinding. Automation is a transformative technology for logistics -- using robots to manipulate inventory allows warehouses to be more efficient, and larger-scale, than ever before. But doing this in practice requires efficient, reliable methods for coordinating ever-larger fleets of robots. These problems are extremely difficult, and current approaches either scale poorly or give weak or no guarantees on solution quality. The project will develop transformative approaches to multi-agent pathfinding which can handle industrial size problems, and handle all of the complications that arise in practical applications. This will deliver improved cost-effectiveness and productivity to automated warehouse logistics and other agent coordination problems.Read moreRead less
Methodologies for face recognition under varying imaging conditions. Face recognition systems are heavily dependent on the nature of the input to the system. Variability in appearance due to changes in illumination, expression, pose, etc. can reduce the recognition results of the existing systems. The aim of this project is to develop new techniques to improve the recognition accuracy in natural environment where unwanted image variations exist. The development of such techniques will be of grea ....Methodologies for face recognition under varying imaging conditions. Face recognition systems are heavily dependent on the nature of the input to the system. Variability in appearance due to changes in illumination, expression, pose, etc. can reduce the recognition results of the existing systems. The aim of this project is to develop new techniques to improve the recognition accuracy in natural environment where unwanted image variations exist. The development of such techniques will be of great importance to Australia's security and safety. The outcome of this research will provide the first steps towards formulating the next generation recognition systems that will improve the suitability of the face recognition for use in security, surveillance, intelligent robotics, banking, and smart environments.Read moreRead less
Towards realistic verbal interactions between people and computers-a probabilistic approach. This project aims to facilitate natural spoken interactions between people and computer systems, addressing obstacles to the acceptance of these systems. We will investigate computational models for relevant aspects of spoken dialogue, which will be implemented in computer systems for diverse tasks (for example, home devices and phone-enabled services).