Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vecto ....Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vector conversion methods. It is expected to develop a framework where semantic labels and hyperlinks can be embedded in visual data automatically. It hopes to pioneer the creation of a web of images where the links are on image/video regions. New image simplification, stylisation, and non-photorealistic rendering methods are expected to be provided.Read moreRead less
Nonlinear Signal Processing: Optimisation and Tracking on Manifolds. Most hi-tech electronic devices must process signals. A mobile phone, for example, must encode, transmit, decode and receive voice signals. This project will use specialised mathematical theories applied in novel ways to advance the theoretical foundations of signal processing and develop better signal processing algorithms for practical applications. Companies with access to better signal processing algorithms have an edge ov ....Nonlinear Signal Processing: Optimisation and Tracking on Manifolds. Most hi-tech electronic devices must process signals. A mobile phone, for example, must encode, transmit, decode and receive voice signals. This project will use specialised mathematical theories applied in novel ways to advance the theoretical foundations of signal processing and develop better signal processing algorithms for practical applications. Companies with access to better signal processing algorithms have an edge over their competitors, and consumers benefit too from better and more advanced products.Read moreRead less
ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this te ....ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this team with the foremost international authorities and leading industry players in the area of sensor networks. This research network will guide collaborative research that will ensure Australia to play a world leading role in sensor network development and implementation.
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System Theoretical Aspects of Spatial Signal Processing. The aims of the project is to gain better understanding of spatial characteristics of wireless communication channels; and to apply spatial signal processing theory to design receivers for wireless systems. The expected outcomes of the projects are new system theory for spatial signal processing, a new spatial model to characterize wireless communication channels, categorize a relationship between scattering environment antenna spacing and ....System Theoretical Aspects of Spatial Signal Processing. The aims of the project is to gain better understanding of spatial characteristics of wireless communication channels; and to apply spatial signal processing theory to design receivers for wireless systems. The expected outcomes of the projects are new system theory for spatial signal processing, a new spatial model to characterize wireless communication channels, categorize a relationship between scattering environment antenna spacing and multi-element antenna system capacity, and novel use of multiple antennas to improve the performance of wireless systems. Success in this investigation could have wide applications in the development of future mobile and fixed wireless communication systems.Read moreRead less
Model-Based Approach to Adaptive Channel Coding and Estimation for Future Wireless Communication Systems. The project aims to maximise capacity, data rate and user mobility in wireless communication systems and will advance Australia's fundamental knowledge base in this field so that it stays at the forefront of international research in mobile communications. The application of research outcomes by the Australian telecommunications industry will improve the extent and quality of mobile networks ....Model-Based Approach to Adaptive Channel Coding and Estimation for Future Wireless Communication Systems. The project aims to maximise capacity, data rate and user mobility in wireless communication systems and will advance Australia's fundamental knowledge base in this field so that it stays at the forefront of international research in mobile communications. The application of research outcomes by the Australian telecommunications industry will improve the extent and quality of mobile networks, increasing network capacity and the number of mobile phone subscribers in Australia. This project will also optimise the use of mobile network resources (such as bandwidth and power) in next generation mobile networks, which in turn will result in faster and more reliable services such as wireless Internet access for business and private use.Read moreRead less
Spatial sound control for testing multi-channel audio devices. Spatial sound control for testing multi-channel audio devices. This project aims to test Alternative Listening Devices/Personal Sound Amplification Devices (PSAPs), multi-input audio devices fast replacing hearing aids due to their affordability and easy accessibility. With more consumers choosing PSAPs, proper testing is needed to assess the devices’ safety and benefit in real-life acoustic situations. This project will test PSAPs i ....Spatial sound control for testing multi-channel audio devices. Spatial sound control for testing multi-channel audio devices. This project aims to test Alternative Listening Devices/Personal Sound Amplification Devices (PSAPs), multi-input audio devices fast replacing hearing aids due to their affordability and easy accessibility. With more consumers choosing PSAPs, proper testing is needed to assess the devices’ safety and benefit in real-life acoustic situations. This project will test PSAPs in laboratory setups that use spatial audio processing techniques to mimic realistic acoustic environments, and develop theoretical frameworks to overcome existing limitations to accurate spatial sound reproduction. This research is expected to provide innovative solutions to safeguard Australia's future hearing health.Read moreRead less
Solve it or Ignore it? The Challenge of Alignment Distortion and Creating Next Generation Automatic Facial Expression Detection. The last two decades have seen an escalating interest in automating the coding of facial expressions. Despite this keen interest, the promise of computer vision systems to accurately code facial expressions in natural circumstances remains elusive. Our interdisciplinary team will research a new paradigm to account for facial alignment distortion directly rather than ai ....Solve it or Ignore it? The Challenge of Alignment Distortion and Creating Next Generation Automatic Facial Expression Detection. The last two decades have seen an escalating interest in automating the coding of facial expressions. Despite this keen interest, the promise of computer vision systems to accurately code facial expressions in natural circumstances remains elusive. Our interdisciplinary team will research a new paradigm to account for facial alignment distortion directly rather than aiming to achieve invariance to it. The project will also research new data agnostic feature compaction capabilities to enable scalable learning on the world’s largest and challenging expression dataset available to us through international collaboration. Tackling these two major open problems will make accurate coding of facial expressions in natural environments achievable.Read moreRead less
Signal Concentration, Robust Signal Processing and Information Theory on the Unit Sphere. This project will assist Australia in maintaining and elevating its international research role in the development of breakthrough signal processing techniques applied to mobile communication, geodesy, astronomy, defence and surveillance, and acoustic modeling of human hearing. The project's high impact contributions will advance Australia's knowledge base and through its applications attract industry inte ....Signal Concentration, Robust Signal Processing and Information Theory on the Unit Sphere. This project will assist Australia in maintaining and elevating its international research role in the development of breakthrough signal processing techniques applied to mobile communication, geodesy, astronomy, defence and surveillance, and acoustic modeling of human hearing. The project's high impact contributions will advance Australia's knowledge base and through its applications attract industry interest particularly in the development of improved instrumentation. The publication of outcomes will elevate Australia's research reputation. The project provides high quality research training for gifted postgraduate students and postdoctoral researchers.Read moreRead less
Multi-object Estimation for Live-Cell Microscopy. The objective of this project is to develop new tools for the inference of biological information from live-cell data to facilitate analysis of experiments and speed up discovery in cell biology. The new tools would provide reliable, consistent inference requiring no manual intervention and able to process large volumes of data in a timely manner. This would equip biologists with a vehicle that could move them closer to the goal of understanding ....Multi-object Estimation for Live-Cell Microscopy. The objective of this project is to develop new tools for the inference of biological information from live-cell data to facilitate analysis of experiments and speed up discovery in cell biology. The new tools would provide reliable, consistent inference requiring no manual intervention and able to process large volumes of data in a timely manner. This would equip biologists with a vehicle that could move them closer to the goal of understanding the mechanism behind biological processes.Read moreRead less