Fixed and variable-length segment vocoders for very low bitrate speech coding. Reliable and secure voice communication is an important aspect of military and defence operations. In order to reduce the possibility of interception, low power transmitters are normally used for radio communications, where the bandwidth is often very low. Military voice communication, therefore, requires the coding of speech at very low bitrates. Our research proposal aims to develop speech coders that can operate ....Fixed and variable-length segment vocoders for very low bitrate speech coding. Reliable and secure voice communication is an important aspect of military and defence operations. In order to reduce the possibility of interception, low power transmitters are normally used for radio communications, where the bandwidth is often very low. Military voice communication, therefore, requires the coding of speech at very low bitrates. Our research proposal aims to develop speech coders that can operate at lower bitrates and reproduce speech of high quality and intelligibility. This is highly beneficial to the defence forces of Australia as it will permit the use of high-grade encryption technology to improve the security of transmission.Read moreRead less
Parametric coding of acoustic fields using models of auditory sensitivity. The project represents cutting edge research in the field of soundfield recording, audio compression and reproduction. The introduction of explicit acoustic field theory to the field of audio compression is a substantive and innovative change that not only furthers the knowledge base in the field but also provides a framework for contributions in related fields such as auditory prosthetics and noise cancellation. The most ....Parametric coding of acoustic fields using models of auditory sensitivity. The project represents cutting edge research in the field of soundfield recording, audio compression and reproduction. The introduction of explicit acoustic field theory to the field of audio compression is a substantive and innovative change that not only furthers the knowledge base in the field but also provides a framework for contributions in related fields such as auditory prosthetics and noise cancellation. The most obvious benefits will be international acclaim and the opportunity to patent, develop and ultimately export technology and systems. Outcomes from the project will benefit consumers and facilitate diverse industries within Australia ranging from health management to the consumer electronics and entertainment industry. Read moreRead less
A New Paradigm for the Representation and Distribution of High Dimensional Multimedia Content. The proposed project involves cutting edge research in a field of great international significance. The most obvious benefits will be international acclaim and the potential to patent, develop and ultimately export technology and systems for the distribution of high dimensional multimedia content. Outcomes from the project may support the growth of surveillance and networking equipment industries wit ....A New Paradigm for the Representation and Distribution of High Dimensional Multimedia Content. The proposed project involves cutting edge research in a field of great international significance. The most obvious benefits will be international acclaim and the potential to patent, develop and ultimately export technology and systems for the distribution of high dimensional multimedia content. Outcomes from the project may support the growth of surveillance and networking equipment industries within Australia. One application considered explicitly within the project is the demonstration of a new surveillance oriented approach to both distance education and pre-recorded educational content, based upon dense multimedia sampling and our proposed paradigm for efficient distribution to interactive clients.Read moreRead less
New Signal Transforms for Multimedia Applications. This project targets at important yet challenging problems for reliable transmission and efficient processing of digital multimedia. The solutions to these problems will not only contribute to our fundamental understanding of digital visual information, but also lead to new commercial opportunities. Hence, the project is clearly within the ARC priority research area 3: Frontier Technologies Frontier Technologies for Building and Transforming Aus ....New Signal Transforms for Multimedia Applications. This project targets at important yet challenging problems for reliable transmission and efficient processing of digital multimedia. The solutions to these problems will not only contribute to our fundamental understanding of digital visual information, but also lead to new commercial opportunities. Hence, the project is clearly within the ARC priority research area 3: Frontier Technologies Frontier Technologies for Building and Transforming Australian Industries. Also, as multimedia market is one of the highest growth segments within the information technology industry, the project is directly in the information and communication technologies (ICT), whose national importance was recognized by the Federal Government. 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
From Universal Induction to Intelligent Systems. The dream of creating artificial devices that (out)reach human intelligence is an old one. What makes this challenge so interesting? A solution would have enormous implications for our society, and there are arguments that the AI problem might be solved within a couple of decades. Specialized intelligent systems are actually already pervasive (finger print, handwriting, speech, and face recognition; spam filtering; search engines; computer chess; ....From Universal Induction to Intelligent Systems. The dream of creating artificial devices that (out)reach human intelligence is an old one. What makes this challenge so interesting? A solution would have enormous implications for our society, and there are arguments that the AI problem might be solved within a couple of decades. Specialized intelligent systems are actually already pervasive (finger print, handwriting, speech, and face recognition; spam filtering; search engines; computer chess; robots). This decade the first presumably complete mathematical theory of AI has been proposed. By working out this theory, this project will significantly contribute to the foundations of inductive inference and AI, and ultimately lead to smarter software and intelligent systems.Read moreRead less
Adaptation of Vision Model to Perceptual Digital Picture Compression. This project spearheads research in the next generation digital picture compression technology, placing Australia an undisputed leader in this area of frontier technology. It will generate intellectual property and software prototype systems, which can be readily transferred into a vast number of visual communication and service applications, feeding into and rejuvenating national high-tech industries. These applications incl ....Adaptation of Vision Model to Perceptual Digital Picture Compression. This project spearheads research in the next generation digital picture compression technology, placing Australia an undisputed leader in this area of frontier technology. It will generate intellectual property and software prototype systems, which can be readily transferred into a vast number of visual communication and service applications, feeding into and rejuvenating national high-tech industries. These applications include digital photography for fine art, medical imaging, picture archive and communication systems for telemedicine and rural health care systems, high quality digital picture, video and cinematic experience, crime prevention, border control, security and surveillance systems.Read moreRead less
A Novel Framework for Optimised Ensemble Classifier. The project aims to develop a novel framework for creating an optimised ensemble classifier that will improve data analysis and the accuracy of many real-world applications such as document analysis, robotics and medical diagnosis. The project plans to develop and investigate novel methods for generating diverse training environment layers, base classifiers and fusion of classifiers. It also plans to design a multi-objective evolutionary algor ....A Novel Framework for Optimised Ensemble Classifier. The project aims to develop a novel framework for creating an optimised ensemble classifier that will improve data analysis and the accuracy of many real-world applications such as document analysis, robotics and medical diagnosis. The project plans to develop and investigate novel methods for generating diverse training environment layers, base classifiers and fusion of classifiers. It also plans to design a multi-objective evolutionary algorithm-based search obtain the optimal number of layers, clusters and base classifiers. The expected outcomes of the proposed framework are advances in classifier learning. The final outcome may be novel methods which will bring in diversity during the learning of the base classifiers and provide an optimal ensemble classifier for real-world applications.Read moreRead less
An automated system for the analysis of road safety and conditions. This project aims to develop an automated system for the analysis of road safety and conditions. Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will develop deep learning based neural network techniques which can learn and classify roadside objects so that video data can be automatically analysed all ....An automated system for the analysis of road safety and conditions. This project aims to develop an automated system for the analysis of road safety and conditions. Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will develop deep learning based neural network techniques which can learn and classify roadside objects so that video data can be automatically analysed allowing the estimation of the proximity of objects for road safety and rating. The expected outcome will be new identification techniques and software which can be incorporated with road data collection systems.Read moreRead less
Deep Learning Architecture with Context Adaptive Features for Image Parsing. This project aims to develop a novel deep learning network architecture with contextual adaptive features for image parsing that can improve the object detection accuracy in real-world applications. A number of innovative methods for deep learning, contextual features and network parameter selection will be developed and investigated. The impact of the proposed architecture and features will be improved object-detection ....Deep Learning Architecture with Context Adaptive Features for Image Parsing. This project aims to develop a novel deep learning network architecture with contextual adaptive features for image parsing that can improve the object detection accuracy in real-world applications. A number of innovative methods for deep learning, contextual features and network parameter selection will be developed and investigated. The impact of the proposed architecture and features will be improved object-detection accuracy and advances in deep learning network architecture for image parsing. The intended outcomes are deep learning network architecture, contextual feature extraction techniques and network parameter optimisation techniques for image parsing.Read moreRead less