Theory and applications of three dimensional fractal transformations. The purpose of this project is to develop the theory and algorithms for a new class of continuous mappings between fractals. Outcomes include a better understanding of fractals, substantially better algorithms for fractal compression and many new applications.
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
A general Bayesian multilinear analysis framework for human behaviour recognition. Smart information use is essential for effective video surveillance in order to guard against accidents, fight crime and combat terrorism. In this project advanced probabilistic methods will be applied to visual surveillance information, to warn of impending accidents and to track criminals and terrorists and predict their behaviours.
Internet-distributed television: cultural, industrial and policy dynamics. This project aims to investigate the impact of global subscription video-on-demand platforms on national television markets. The rise of subscription video streaming has created significant challenges for Australian and international broadcast, media and cultural policy frameworks, which are struggling to keep up with audience viewing practices. This project will provide a comparative analysis of how governments are respo ....Internet-distributed television: cultural, industrial and policy dynamics. This project aims to investigate the impact of global subscription video-on-demand platforms on national television markets. The rise of subscription video streaming has created significant challenges for Australian and international broadcast, media and cultural policy frameworks, which are struggling to keep up with audience viewing practices. This project will provide a comparative analysis of how governments are responding and investigating the implications for debates about local content, local screen production, and media diversity. The project will provide an analysis of original production and programming strategies to identify new forms of trans-national media flow. The project will advance an understanding of media globalisation and provide media regulators options and opportunities for a convergent media policy environment.Read moreRead less
Holobody: Advancing the Future of Mixed Reality Technologies. This project aims to advance our understanding and use of mixed reality technologies by pioneering a new approach to interaction in virtual systems that recognises, capitalises on, and expands the potential of the human body as a human-machine interface. The project expects to apply the unique, embodied methodologies of dance and movement technology, integrated with customised software, advanced visualisation and artificial intelligen ....Holobody: Advancing the Future of Mixed Reality Technologies. This project aims to advance our understanding and use of mixed reality technologies by pioneering a new approach to interaction in virtual systems that recognises, capitalises on, and expands the potential of the human body as a human-machine interface. The project expects to apply the unique, embodied methodologies of dance and movement technology, integrated with customised software, advanced visualisation and artificial intelligence, to develop next-generation principles of embodied interaction in virtual systems. Expected outcomes are improved assistive technology, new prototyping techniques for manufacturing, and improved productivity through interactive and immersive systems, benefiting Australian businesses, healthcare and the arts.Read moreRead less
Artistic Practice in Australian Videogame Development. The game industry is the largest cultural industry in the world. Its economic growth relies in part on the artistic innovations of non-commercial developers and communities operating beyond the industry’s purview. Policymakers and researchers alike struggle to account for the cultural contexts and creative origins of game development. This project conceptualises and empirically investigates ‘artist-gamemaking’ to generate new knowledge on th ....Artistic Practice in Australian Videogame Development. The game industry is the largest cultural industry in the world. Its economic growth relies in part on the artistic innovations of non-commercial developers and communities operating beyond the industry’s purview. Policymakers and researchers alike struggle to account for the cultural contexts and creative origins of game development. This project conceptualises and empirically investigates ‘artist-gamemaking’ to generate new knowledge on the ambitions, techniques and histories of Australia’s game industry. It develops resources that will enable cultural institutions to better support them. This research is important as it articulates the cultural and economic value of a vital site of creative practice in contemporary Australia.Read moreRead less
Interactive and scalable media over software defined networks. A novel API and associated algorithms will be developed to exploit the emerging technology of software defined networks (SDN) for improving the efficiency and responsiveness of interactive media browsing applications. The approach applies to conventional streaming video as well as more interactive services based on scalable media compression and communication technology, notably JPIP (IS15444-9) video. Recent advances in motion codin ....Interactive and scalable media over software defined networks. A novel API and associated algorithms will be developed to exploit the emerging technology of software defined networks (SDN) for improving the efficiency and responsiveness of interactive media browsing applications. The approach applies to conventional streaming video as well as more interactive services based on scalable media compression and communication technology, notably JPIP (IS15444-9) video. Recent advances in motion coding will be combined with new spatio-temporal transforms to develop an efficient inter-frame extension to the JPEG 2000 standard that is fully compatible with JPIP. Each of these innovations is important in its own right, but together they will facilitate a highly compelling interactive media browsing experience.Read moreRead less
Nonlinear Transfer Distance Metric Learning for Gleaning Knowledge from the Crowd. This project will develop nonlinear transfer distance metric learning algorithms for training and test samples that are not independent and identically distributed, or from different instance spaces. New theoretical foundations for crowd-sourcing will lead to innovative intelligent systems for such purposes as the NBN, social, and security services, and keep pace with developments in hardware technology. The outco ....Nonlinear Transfer Distance Metric Learning for Gleaning Knowledge from the Crowd. This project will develop nonlinear transfer distance metric learning algorithms for training and test samples that are not independent and identically distributed, or from different instance spaces. New theoretical foundations for crowd-sourcing will lead to innovative intelligent systems for such purposes as the NBN, social, and security services, and keep pace with developments in hardware technology. The outcomes include applications in social networks, the Internet, and climate change, as well as video surveillance to help combat crime and terrorism. The innovative research will significantly benefit Australia’s economy, environment and society, and will maintain Australia's global leading role in the machine learning and computer vision.Read moreRead less
Streaming label learning for leaching knowledge from labels on the fly. This machine intelligence project aims to explore the potential to use and incorporate past knowledge and training to better understand, interpret and develop new concepts. The expected outcomes will provide major technological breakthroughs to benefit science, society, and the economy nationally by laying theoretical foundations for learning labels in a streaming fashion, and building the next generation of intelligent syst ....Streaming label learning for leaching knowledge from labels on the fly. This machine intelligence project aims to explore the potential to use and incorporate past knowledge and training to better understand, interpret and develop new concepts. The expected outcomes will provide major technological breakthroughs to benefit science, society, and the economy nationally by laying theoretical foundations for learning labels in a streaming fashion, and building the next generation of intelligent systems to accommodate environment change in applications about cybercrime, terrorism, and emergence.Read moreRead less
Automatic Machine Learning with Imperfect Data for Video Analysis . This project aims to propose new algorithms and technologies for constructing an efficient video analysis system, which will be aligned with Australia’s science and research priorities. Specifically, during this project, a novel network structure search method based on auto machine learning will be proposed, an unsupervised domain adaptation algorithm will be developed, and a generative data augmentation method will be construct ....Automatic Machine Learning with Imperfect Data for Video Analysis . This project aims to propose new algorithms and technologies for constructing an efficient video analysis system, which will be aligned with Australia’s science and research priorities. Specifically, during this project, a novel network structure search method based on auto machine learning will be proposed, an unsupervised domain adaptation algorithm will be developed, and a generative data augmentation method will be constructed. All of these will construct a stable and efficient deep neural network, which is able to process large size videos captured from real scenarios in high efficiencies. Various fields, such as health care service and cybersecurity, will benefit hugely from this project.Read moreRead less