Showing 3 open source projects for "parallel"

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    GatcomVideo

    Graphical application included in the VDSF-VN framework

    Application developed in Java that allow the study of video streaming over Vehicular Networks (VANETs), including all the necessary tasks, namely: video encoding with HEVC, launching the simulations in parallel, generating graphs with the results, and analysing the received video quality with several Quality of Experience (QoE) metrics: Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), ... GatcomVideo is part of the Video Delivery Simulation Framework over Vehicular Networks (VDSF-VN), which is composed of several components: (1) an OMNeT++ project called "ppp_qos" (2) GatcomSUMO (3) GatcomVideo The "ppp_qos" project and the application GatcomSUMO are downloadable from different SourceForge projects. ...
    Downloads: 1 This Week
    Last Update:
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  • 2

    VDSF-VN (ppp_qos)

    Framework for simulation of video streaming over VANETs

    Video Delivery Simulation Framework over Vehicular Networks (VDSF-VN) is a set of tools that allow the study of video streaming over Vehicular Networks (VANETs), including all the necessary tasks, namely: video encoding with HEVC, creating the network scenarios for SUMO & OMNeT++, launching the simulations in parallel, generating graphs with the results, analyzing the received video quality (PSNR, SSIM, ...). The framework is composed of several components: (1) an OMNeT++ project called "ppp_qos" (2) GatcomSUMO (3) GatcomVideo The applications GatcomSUMO and GatcomVideo are downloable from different SourceForge projects, and are developed in Java, so, they are platform independent, as well as the VDSF-VN framework. ...
    Downloads: 0 This Week
    Last Update:
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  • 3
    EvilEncoding is a software for parallel video encoding. You can encode one movie parallel on multiple computers. So you would have an enormous performance boost. As encoding engine mencoder will be fully featured used.
    Downloads: 0 This Week
    Last Update:
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