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Field of Research : Image Processing
Field of Research : Coding and Information Theory
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Coding and Information Theory (4)
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  • Funded Activity

    Discovery Projects - Grant ID: DP140104027

    Funder
    Australian Research Council
    Funding Amount
    $405,000.00
    Summary
    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.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190102574

    Funder
    Australian Research Council
    Funding Amount
    $380,000.00
    Summary
    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.
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    Funded Activity

    Discovery Projects - Grant ID: DP120102071

    Funder
    Australian Research Council
    Funding Amount
    $320,000.00
    Summary
    Compression and communication of single and multi-view video based on overlapping motion hint fields. This project explores a new way of communicating motion for video and multi-view (3D) applications, facilitating efficient interactive access to content. Outcomes will include new compression methods that avoid redundant transmission of motion side information, plus client/server technology that leverages metadata from smart surveillance cameras.
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    Funded Activity

    Discovery Projects - Grant ID: DP170103764

    Funder
    Australian Research Council
    Funding Amount
    $352,000.00
    Summary
    Video plasticity: Scalable video coding with inherently consistent motion. This project aims to improve how video coders represent motion, leading to more efficient motion descriptions and fewer distinct motion fields. The project will develop motion inference algorithms that ensure consistent motion descriptions throughout a group of pictures, allowing seamless integration of scalable video coding, motion compensated temporal filtering and motion compensated frame interpolation operations. The .... Video plasticity: Scalable video coding with inherently consistent motion. This project aims to improve how video coders represent motion, leading to more efficient motion descriptions and fewer distinct motion fields. The project will develop motion inference algorithms that ensure consistent motion descriptions throughout a group of pictures, allowing seamless integration of scalable video coding, motion compensated temporal filtering and motion compensated frame interpolation operations. The project is expected to support an efficient and interactive video browsing experience, largely decoupled from original frame rate and resolution; and deliver practical solutions that can be efficiently implemented on consumer devices.
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