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Research Topic : coding
Field of Research : Image Processing
Field of Research : Signal Processing
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  • Funded Activity

    Discovery Projects - Grant ID: DP0664921

    Funder
    Australian Research Council
    Funding Amount
    $112,000.00
    Summary
    New Signal Transforms for Multimedia Applications. This project targets at important yet challenging problems for reliable transmission and efficient processing of digital multimedia. The solutions to these problems will not only contribute to our fundamental understanding of digital visual information, but also lead to new commercial opportunities. Hence, the project is clearly within the ARC priority research area 3: Frontier Technologies Frontier Technologies for Building and Transforming Aus .... New Signal Transforms for Multimedia Applications. This project targets at important yet challenging problems for reliable transmission and efficient processing of digital multimedia. The solutions to these problems will not only contribute to our fundamental understanding of digital visual information, but also lead to new commercial opportunities. Hence, the project is clearly within the ARC priority research area 3: Frontier Technologies Frontier Technologies for Building and Transforming Australian Industries. Also, as multimedia market is one of the highest growth segments within the information technology industry, the project is directly in the information and communication technologies (ICT), whose national importance was recognized by the Federal Government.
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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: 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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