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Research Topic : Visual memory
Field of Research : Computer-Human Interaction
Australian State/Territory : NSW
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  • Researchers (15)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0774697

    Funder
    Australian Research Council
    Funding Amount
    $252,004.00
    Summary
    Filters reveal what flicker conceals: temporal processing in the human visual system. I have recently discovered a new form of camouflage using 10Hz luminance flicker. This project will quantify this effect and examine the extent to which it generalises across colour and spatial dimensions and to video sequences depicting natural scenes. This information is expected to provide foundational information to technologies relating to national security that rely on visual concealment. This research wi .... Filters reveal what flicker conceals: temporal processing in the human visual system. I have recently discovered a new form of camouflage using 10Hz luminance flicker. This project will quantify this effect and examine the extent to which it generalises across colour and spatial dimensions and to video sequences depicting natural scenes. This information is expected to provide foundational information to technologies relating to national security that rely on visual concealment. This research will examine the extent to which filtering out these camouflaging frequencies enhances our sensitivity to low temporal frequency information. This decamouflaging aspect of my research is expected to improve the clarity of digital video-based technologies including ultrasound, educational, info-tainment and defence applications
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    Funded Activity

    Special Research Initiatives - Grant ID: SR0354753

    Funder
    Australian Research Council
    Funding Amount
    $10,000.00
    Summary
    MESH: amalgamating innovative teams of cross-disciplinary collaborators for creativity in Media-arts, E-culture, Science and Humanities. MESH is a cross-disciplinary network that amalgamates a national array of sub-networks of research in digital arts, ICT and cross-cultural and policy negotiation. It boosts Australia's existing cross-disiciplinary strengths in Media-arts, E-culture, Science and Humanities by encouraging existing digital sub-networks to grow together via well-brokered communic .... MESH: amalgamating innovative teams of cross-disciplinary collaborators for creativity in Media-arts, E-culture, Science and Humanities. MESH is a cross-disciplinary network that amalgamates a national array of sub-networks of research in digital arts, ICT and cross-cultural and policy negotiation. It boosts Australia's existing cross-disiciplinary strengths in Media-arts, E-culture, Science and Humanities by encouraging existing digital sub-networks to grow together via well-brokered communications and demonstrations online and on-location. Progressively, MESH participants will discover existing harmonies whilst also inventing new languages and protocols leading to breakthroughs in cross-disciplinary collaboration and innovation. MESH encourages a 'paradigm shift' in digital research, realising the extraordinary potential that is ready but latent across Australia's arts and sciences.
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    Funded Activity

    Linkage - International - Grant ID: LX0455820

    Funder
    Australian Research Council
    Funding Amount
    $24,520.00
    Summary
    How, What and Who in Human Communication: Movement of Face and Voice. The aim of this project is to identify the essential characteristics of tone, affect, and identity from face and voice using a combination of signal processing, biological, and behavioural techniques in order to develop a comprehensive model of auditory-visual speech processing and communication. This research will significantly improve understanding of the basis of auditory-visual perception and production in tonal languages .... How, What and Who in Human Communication: Movement of Face and Voice. The aim of this project is to identify the essential characteristics of tone, affect, and identity from face and voice using a combination of signal processing, biological, and behavioural techniques in order to develop a comprehensive model of auditory-visual speech processing and communication. This research will significantly improve understanding of the basis of auditory-visual perception and production in tonal languages and in affective communication, facilitate links between neurophysiological processes and auditory-visual speech processing; and contribute to applications in automatic person recognition, automatic speech recognition, text-to-speech systems, and talking head aids for the hearing impaired.
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    Funded Activity

    Special Research Initiatives - Grant ID: SR0354596

    Funder
    Australian Research Council
    Funding Amount
    $20,000.00
    Summary
    Perception and Action in Auditory Scenes (PAAS): Neural, Behavioural, Computational and Mechanical Systems. Auditory scenes are temporal and ephemeral yet pervasively influence human life. How humans negotiate such scenes has not been solved, a fact highlighted by attempts to build machines to respond to speech, warnings etc., in real-world situations with room reverberation, different talkers, and background noise. No one discipline can solve such problems. In this network outstanding researche .... Perception and Action in Auditory Scenes (PAAS): Neural, Behavioural, Computational and Mechanical Systems. Auditory scenes are temporal and ephemeral yet pervasively influence human life. How humans negotiate such scenes has not been solved, a fact highlighted by attempts to build machines to respond to speech, warnings etc., in real-world situations with room reverberation, different talkers, and background noise. No one discipline can solve such problems. In this network outstanding researchers from physical, medical, human, and social sciences with interests in speech, music and audition will provide insights into how humans and machines localize, recognize, interpret and produce auditory events, and advance frontier technologies, e.g., automatic speech recognition, hearing prostheses, auditory monitoring/warning systems.
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    Funded Activity

    Discovery Projects - Grant ID: DP0988088

    Funder
    Australian Research Council
    Funding Amount
    $220,000.00
    Summary
    A Gesture-Based Interface for Designing in Virtual Reality. Many design professions including architecture, fashion, and engineering can benefit from the outcomes of this project and may return financial benefits to Australia, since they heavily rely on sketching in the conceptual design process. Other areas, such as films, computer games, user interface design that involves storyboarding and visualization may also benefit from sketching in virtual reality. Further research may be carried out us .... A Gesture-Based Interface for Designing in Virtual Reality. Many design professions including architecture, fashion, and engineering can benefit from the outcomes of this project and may return financial benefits to Australia, since they heavily rely on sketching in the conceptual design process. Other areas, such as films, computer games, user interface design that involves storyboarding and visualization may also benefit from sketching in virtual reality. Further research may be carried out using a variety of VR facilities and a responsive workbench (3D interactive table-top display) to allow distributed Virtual Prototyping between geographically separated design teams, to assemble the product drawn using a force feedback device to place Australia in a leading position.
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    Funded Activity

    Discovery Projects - Grant ID: DP0988838

    Funder
    Australian Research Council
    Funding Amount
    $263,000.00
    Summary
    Scalable Visual Analytics for Uncertain Dynamic Networks. Technological advances have provided a data deluge over the past few years, and have led to many large uncertain and dynamic network models. This includes terrorist networks, marketing networks, facebook networks, various biological networks, and software engineering structures. Human understanding of such networks is difficult. This project aims to provide new methods for visual analysis of large uncertain dynamic networks such as these. .... Scalable Visual Analytics for Uncertain Dynamic Networks. Technological advances have provided a data deluge over the past few years, and have led to many large uncertain and dynamic network models. This includes terrorist networks, marketing networks, facebook networks, various biological networks, and software engineering structures. Human understanding of such networks is difficult. This project aims to provide new methods for visual analysis of large uncertain dynamic networks such as these. The algorithms developed in the project will help security analysts to monitor illegal behaviour such as money laundering and terrorist activities, help biologists understand key biological systems, and help engineers to understand large software systems.
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    Showing 1-6 of 6 Funded Activites

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