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Discovery Early Career Researcher Award - Grant ID: DE160100313
Funder
Australian Research Council
Funding Amount
$373,536.00
Summary
International Transformations in Children’s Television 2013-18. This project intends to analyse key trends in the production and distribution of contemporary children’s television. Contemporary Australian television is produced and distributed through complex processes in a globalised media environment characterised by convergence and multi-platform delivery. This project plans to map the shape and scale of rapidly evolving production territories and markets for children’s television opened up b ....International Transformations in Children’s Television 2013-18. This project intends to analyse key trends in the production and distribution of contemporary children’s television. Contemporary Australian television is produced and distributed through complex processes in a globalised media environment characterised by convergence and multi-platform delivery. This project plans to map the shape and scale of rapidly evolving production territories and markets for children’s television opened up by media globalisation, and explore their economic and cultural impact on television made for the child audience. Its findings may reveal the implications of new global settlements in children’s television for media industries, production practices and policy settlements in both the national and the transnational space.Read moreRead less
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
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
Challenging the Bystander Effect via documentary film. This project aims to challenge the Bystander Effect. Social experiments from the 1960s have entrenched the view that in groups we fail to act to prevent harm to others in public emergencies. Film has played a significant role in promoting this theory. Drawing on an innovative screen performance method, this project is likely to generate knowledge about how bystanders can co-ordinate their actions to safely intervene; it will result in an inn ....Challenging the Bystander Effect via documentary film. This project aims to challenge the Bystander Effect. Social experiments from the 1960s have entrenched the view that in groups we fail to act to prevent harm to others in public emergencies. Film has played a significant role in promoting this theory. Drawing on an innovative screen performance method, this project is likely to generate knowledge about how bystanders can co-ordinate their actions to safely intervene; it will result in an innovative and accessible documentary. The project has the capacity to contribute to a reduction of violence in public spaces and more effective responses in the face of emergencies.Read moreRead less
Australian television in the smart TV ecosystem. This project aims to investigate the cultural impacts of smart TVs in Australia. A majority of Australian adults now use an internet-connected (smart) TV set or streaming device, fundamentally changing the way content is discovered, accessed and experienced. This project expects to advance policy knowledge of the smart TV platforms built into these devices; their effects on public access; and how they structure users' viewing choices. Expected out ....Australian television in the smart TV ecosystem. This project aims to investigate the cultural impacts of smart TVs in Australia. A majority of Australian adults now use an internet-connected (smart) TV set or streaming device, fundamentally changing the way content is discovered, accessed and experienced. This project expects to advance policy knowledge of the smart TV platforms built into these devices; their effects on public access; and how they structure users' viewing choices. Expected outcomes of the project include improved understanding of the cultural, consumer and competition implications of emerging television technologies. Expected benefits include informed decision-making and improved policy options for government, consumers, public-service media and local screen industries.Read moreRead less
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
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
Efficient multi-view video coding with cuboids and base anchored models. This project aims to address current deficiencies in multi-view video coding technology to achieve the ultra-compression efficiency demanded by increasing display resolutions and synchronised viewpoints. The project expects to generate new knowledge, by moving from the current pixel-centric approach to methods that concentrate information common to many view-frames. The project is expected to improve compression of audio-vi ....Efficient multi-view video coding with cuboids and base anchored models. This project aims to address current deficiencies in multi-view video coding technology to achieve the ultra-compression efficiency demanded by increasing display resolutions and synchronised viewpoints. The project expects to generate new knowledge, by moving from the current pixel-centric approach to methods that concentrate information common to many view-frames. The project is expected to improve compression of audio-visual services that are of great interest to international standards bodies and industry, while facilitating free interaction and augmented reality. This project will provide significant benefits to broadcast, entertainment, surveillance and health industries and position Australia as a world leader in this field.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
Discovery Early Career Researcher Award - Grant ID: DE180100950
Funder
Australian Research Council
Funding Amount
$368,446.00
Summary
Building intelligence into online video services by learning user interests. This project aims to build an intelligent video streaming service by characterising users’ view interest patterns and predict user interest changes through learning data from Internet to address the challenge caused by astronomic video population. The outcomes of the project will be of great values for users and our society by intelligently filtering out valueless, harmful, illegal and unwanted videos in advance.