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
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