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
Development of a three dimensional audio-visual next generation speech recognition system. To overcome the disadvantages of current Audio-Visual Speech Recognition Systems, we propose a set of robust algorithms in three dimensional computer vision and speech processing. The proposed system will have far-reaching implications in various areas, for example, human-machine interaction for speech recognition in automated dialog systems and voice-to-text conversions.
Discovery Early Career Researcher Award - Grant ID: DE120100802
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Developing novel concepts for improved safety in aircraft emergency situations. The outcomes of this project will enable the creation of an emergency system that can improve visual situation awareness in emergency landing scenarios by investigating novel detection, control and planning algorithms. The project will contribute significantly to Australia's share in technologies for aircraft automation.
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
Raising the Internet's Quality of Service through improved congestion management. This project aims to develop methods for improving the service quality of the internet by better management of congestion. Improved service quality will be evident to internet users in the form of reduced delay and data loss. The proposed research is significant because as well as improving service quality, it will facilitate delivery of internet services over poor quality communications infrastructure such as is p ....Raising the Internet's Quality of Service through improved congestion management. This project aims to develop methods for improving the service quality of the internet by better management of congestion. Improved service quality will be evident to internet users in the form of reduced delay and data loss. The proposed research is significant because as well as improving service quality, it will facilitate delivery of internet services over poor quality communications infrastructure such as is present in many remote and regional areas of Australia. It also will result in more efficient utilisation of telecommunications infrastructure. The project will deliver implementations in the form of software which is easily installed in any computer.Read moreRead less
A unified framework for analyzing the timescale of interest for traffic measurements, modelling and performance analysis. The revenue generated from traditional telecommunication services is continuing to drop. New value-added services such as multimedia services become the fastest growing revenue-generating sector in Australia's telecommunications industry. The ubiquitous presence of scaling behaviour in network traffic presents a big challenge for delivering better Quality-of-Service (QoS) whi ....A unified framework for analyzing the timescale of interest for traffic measurements, modelling and performance analysis. The revenue generated from traditional telecommunication services is continuing to drop. New value-added services such as multimedia services become the fastest growing revenue-generating sector in Australia's telecommunications industry. The ubiquitous presence of scaling behaviour in network traffic presents a big challenge for delivering better Quality-of-Service (QoS) which is demanded by the new services. A complete understanding of the scaling behaviour and its impact is very important. This research addresses a key problem of defining the timescale range of interest for the scaling behaviour. The research outcome benefits a number of areas, which are all critical for developing enhanced QoS support and better network management.Read moreRead less
Neural Activity Shaping for Retinal and Cochlear Implants. This project aims to develop methods to control and optimise the spatial patterns of neural activity evoked by neural prostheses in order to improve the resolution of neuroprostheses. A major problem for neural prostheses is that the electrical current used to stimulate neurons causes a diffuse spread of activity in the neural tissue, which limits the resolution of the device. For patients this translates into limitations in sound qualit ....Neural Activity Shaping for Retinal and Cochlear Implants. This project aims to develop methods to control and optimise the spatial patterns of neural activity evoked by neural prostheses in order to improve the resolution of neuroprostheses. A major problem for neural prostheses is that the electrical current used to stimulate neurons causes a diffuse spread of activity in the neural tissue, which limits the resolution of the device. For patients this translates into limitations in sound quality, in the case of cochlea implants, or visual acuity, for retinal implants. The outcome of the project will be algorithms that optimally choose the currents on each electrode so as to shape neural activity at the finer resolution of electrode spacing rather than the coarser resolution of current spread.Read moreRead less
A lossy compression paradigm for sensory neural coding. By applying new interdisciplinary theoretical results, this research aims to enhance our understanding of how the ear turns sounds into electrical signals in the presence of high levels of random noise. Socio-economic benefits to Australia include: (i) contributions to the knowledge base of theoretical neuroscience, and communications systems, enhancing Australia's reputation for cutting-edge research; (ii) strengthening of European interna ....A lossy compression paradigm for sensory neural coding. By applying new interdisciplinary theoretical results, this research aims to enhance our understanding of how the ear turns sounds into electrical signals in the presence of high levels of random noise. Socio-economic benefits to Australia include: (i) contributions to the knowledge base of theoretical neuroscience, and communications systems, enhancing Australia's reputation for cutting-edge research; (ii) strengthening of European international collaborations; (iii) outcomes that will ultimately impact on improved designs for bionic ears and future biomedical prosthetics; and (iv) commercialisation and technology transfer opportunities, via the transfer of results to wireless artificial sensor networks.Read moreRead less
Advancing System Identification using Modern Optimisation Methods. This project lies within an ARC Research Priority Area. Namely, "Frontier Technologies". It involves the development of new technologies and fundamental theory that take data records from physical or abstract systems and generate mathematical models for use in prediction, control and diagnosis of the underlying system. In light of this, the project also lies within the ARC Research Priority Area of "Smart Information Use",
New Approaches for the Estimation of Complex Dynamic System Models. This project lies within an ARC defined Research Priority Area.
Namely, "Frontier Technologies". It is directed towards taking
available data records from physical and other processes, ranging from
petrochemical plant outputs to share market values, and using them to
determine equations that allow for the prediction, diagnosis, and
control of the underlying determining systems. As such, it lies
within the ARC identified ....New Approaches for the Estimation of Complex Dynamic System Models. This project lies within an ARC defined Research Priority Area.
Namely, "Frontier Technologies". It is directed towards taking
available data records from physical and other processes, ranging from
petrochemical plant outputs to share market values, and using them to
determine equations that allow for the prediction, diagnosis, and
control of the underlying determining systems. As such, it lies
within the ARC identified area of "Smart Information Use", but has further
potential to foster new approaches and new technologies, by way of the
improved system modelling, prediction and diagnosis capabilities it will provide.Read moreRead less