Enhancing Internet of Everything content acquisition, distribution, and security using software defined networking. The aim of this project is to develop novel frameworks and algorithms that improve video streaming experience across multiple interconnected content distribution networks. The novelty of the scheme is in optimally coupling cache server selection with network path control using software defined networking technology. The intended outcomes of this project are the development and demo ....Enhancing Internet of Everything content acquisition, distribution, and security using software defined networking. The aim of this project is to develop novel frameworks and algorithms that improve video streaming experience across multiple interconnected content distribution networks. The novelty of the scheme is in optimally coupling cache server selection with network path control using software defined networking technology. The intended outcomes of this project are the development and demonstration of algorithms and mechanisms for efficient Internet content delivery to achieve unprecedented user experience. The proposed project is expected to lead to commercial outcomes with consequent economic and social benefits, while strengthening Australia’s leadership in the emerging area of software defined networking.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
New high-performance iterative error correction codes. This project develops new error correction codes to underpin the success of next-generation communications technologies. The nature of the project presents significant potential for project outcomes to be beneficial to the Australian telecommunications industry in a wide range of application areas from optical communication to digital broadcasting.
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.
Object-based motion estimation for highly efficient streaming video. This project aims to develop motion and shape estimation tools that allow video content to be predicted at any point in time using frame data that is available at other points in time. Applications of this include video coding, frame synthesis for temporal re-sampling. The project expects to develop algorithms for jointly estimating compact motion and shape descriptions of video content. These descriptions will allow quality re ....Object-based motion estimation for highly efficient streaming video. This project aims to develop motion and shape estimation tools that allow video content to be predicted at any point in time using frame data that is available at other points in time. Applications of this include video coding, frame synthesis for temporal re-sampling. The project expects to develop algorithms for jointly estimating compact motion and shape descriptions of video content. These descriptions will allow quality refinement by progressively adding spatial and temporal detail. It is expected that these compact descriptions will lead to significantly more flexible and efficient transmission of video content over modern communications networks.Read moreRead less