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.
Discovery Early Career Researcher Award - Grant ID: DE180100973
Funder
Australian Research Council
Funding Amount
$367,983.00
Summary
Skills development and transfer in the digital gaming sector. This project aims to examine the transferability and sustainability of videogame development skillsets to the broader digital sector. The project will lead to future job creation, and to cultural and economic innovation in Australia.
Discovery Early Career Researcher Award - Grant ID: DE150100288
Funder
Australian Research Council
Funding Amount
$348,000.00
Summary
Geoblocking, circumvention and the organisation of digital media markets. Digital content portals including iTunes, Hulu, Netflix and BBC iPlayer use geoblocking to restrict access in certain markets. Australian consumers are increasingly finding ways to circumvent such restrictions. This project aims to investigate how geoblocking and geoblocking circumvention are shaping digital media consumption in Australia. It will offer rigorous analysis of an emerging transnational media practice, and wha ....Geoblocking, circumvention and the organisation of digital media markets. Digital content portals including iTunes, Hulu, Netflix and BBC iPlayer use geoblocking to restrict access in certain markets. Australian consumers are increasingly finding ways to circumvent such restrictions. This project aims to investigate how geoblocking and geoblocking circumvention are shaping digital media consumption in Australia. It will offer rigorous analysis of an emerging transnational media practice, and what it means for audiences, producers and regulators. This project endeavours to advance the understanding of digital content flows and inform media policy in a volatile regulatory environment.Read moreRead less
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
The games and the wider interactive entertainment industry in Australia: an inquiry into sources of innovation. Games and interactive entertainment are flagship digital industries of the present and future which no advanced economy and digitally enabled society can afford not to engage with. Apart from their evident popularity, and proven growth and export potential, they have provided many models and templates for educational technology. The project will assist the local games and interactive e ....The games and the wider interactive entertainment industry in Australia: an inquiry into sources of innovation. Games and interactive entertainment are flagship digital industries of the present and future which no advanced economy and digitally enabled society can afford not to engage with. Apart from their evident popularity, and proven growth and export potential, they have provided many models and templates for educational technology. The project will assist the local games and interactive entertainment sector to source international good practice models, to identify potentially new sources of innovation, such as arts practices not traditionally associated with these industries, and contribute a richly detailed case study providing evidence for why the creative industries should be an integral part of the national innovation system.Read moreRead less
Detecting the deaths of the first stars: Investigating the physical processes in the early Universe. This project will pursue the most distant supernova explosions in the Universe and investigate their host galaxies and environments. It will use a technique that has detected the most distant supernovae, probing 12 billion years into the past, and one that is able to discover, for the first time, the deaths of the first stars to have formed after the Big Bang. This project will use this technique ....Detecting the deaths of the first stars: Investigating the physical processes in the early Universe. This project will pursue the most distant supernova explosions in the Universe and investigate their host galaxies and environments. It will use a technique that has detected the most distant supernovae, probing 12 billion years into the past, and one that is able to discover, for the first time, the deaths of the first stars to have formed after the Big Bang. This project will use this technique to gather a statistical sample of supernovae to determine their occurrence rate and physical properties and to provide crucial data for a newly discovered, extremely powerful, third type of supernova. This data will test the laws in which early galaxies formed their stars and reveal the framework for the subsequent evolution of the Universe.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101365
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
In-person tele-presence through hybrid camera networks. This project aims to develop novel theories and algorithms for live capturing of accurate dense 3D models of moving subjects based on hybrid camera networks. The latter consist of a mix of static external red, green, blue plus depth (RGB-D) cameras and a dynamic head-mounted regular camera. The scientific novelties will be dense, non-rigid, and collaborative structure-from-motion theories that maximise the exploitation of such hybrid inform ....In-person tele-presence through hybrid camera networks. This project aims to develop novel theories and algorithms for live capturing of accurate dense 3D models of moving subjects based on hybrid camera networks. The latter consist of a mix of static external red, green, blue plus depth (RGB-D) cameras and a dynamic head-mounted regular camera. The scientific novelties will be dense, non-rigid, and collaborative structure-from-motion theories that maximise the exploitation of such hybrid information, for instance by utilising exact head-pose information. The outcome is a working prototype producing live full-body animations, thus leveraging new applications in the Information Technology industry. Highly strategically relevant examples are given by 3D tele-presence, enhanced tele-operation, robotics, and intelligent transportation systems.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.
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
Discovery Early Career Researcher Award - Grant ID: DE180101438
Funder
Australian Research Council
Funding Amount
$356,446.00
Summary
Multi-view synergistic learning for human behaviour analysis. This project aims to equip machines with a human-likeability to synergistically harness multiple information sources for the purpose of optimal decision-making. This project will produce the next great step for machine intelligence - laying the theoretical foundation for the learning of multiple views and building the next generation of intelligent systems which can accommodate multiple information sources. This research is fundament ....Multi-view synergistic learning for human behaviour analysis. This project aims to equip machines with a human-likeability to synergistically harness multiple information sources for the purpose of optimal decision-making. This project will produce the next great step for machine intelligence - laying the theoretical foundation for the learning of multiple views and building the next generation of intelligent systems which can accommodate multiple information sources. This research is fundamental to the creation of intelligent systems that elegantly tackle varieties of big data. This should benefit science, society, and the economy nationally through applications including autonomous vehicle development, sensor technologies, and human behaviour analysis.Read moreRead less