Search Results for "delivery"

...The library supports multiple video representations, allowing seamless playback across varying network conditions. It also includes encryption capabilities for DRM, making it suitable for secure media delivery. Developers can integrate cloud storage services to load and store media assets efficiently. The project emphasizes scalability and automation, enabling both on-demand and live streaming workflows. Its architecture simplifies complex transcoding pipelines into structured, programmable steps.

...Its architecture focuses on reducing the complexity of building streaming infrastructure while maintaining flexibility and control. Overall, it functions as an end-to-end toolkit for modern video delivery systems.

Textream is an open-source, free macOS teleprompter application designed for streamers, podcasters, presenters, and interviewers who want a smooth, distraction-free way to stay on script. It runs natively on macOS and leverages on-device speech recognition to highlight each word in real time as you speak, keeping your focus where it belongs — on delivery rather than memorization. The interface supports multiple modes of use, such as classic constant-scroll auto-scrolling, voice-activated scrolling that pauses when you’re silent, and direct word tracking that syncs the displayed script to your spoken pace. Textream also includes flexible display modes, from a sleek notch-anchored overlay on laptops to an invisible-to-the-audience floating window or fullscreen experience.

smart_rtmpd is a high-performance streaming media server designed for live and recorded video delivery across multiple protocols and platforms. It supports both push and pull streaming, enabling flexible workflows for ingesting and distributing media. The server is designed to be lightweight and easy to deploy, requiring minimal configuration and no external dependencies. It supports a wide range of protocols including RTMP, HLS, DASH, RTSP, and WebRTC, making it suitable for diverse streaming environments. ...

...It leverages containerization and distributed architecture to handle workloads efficiently across multiple nodes. cloud-morph focuses on flexibility, enabling users to define custom processing pipelines for different media scenarios. It can be used for applications such as streaming, video processing, and content delivery optimization. Overall, it provides a scalable solution for handling multimedia transformations in cloud environments.

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. In addition, the application requires the following simulators/software: (1) SUMO v1.8.0 (2) OMNeT++ v5.6.2 (3) Veins v5.1 (4) HM reference software for HEVC

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, ...).

...It provides tools for creating and managing HLS streams, including segmenting video into smaller chunks and generating M3U8 playlists. The project is intended for developers building streaming servers or media delivery systems. It focuses on performance and simplicity, leveraging Go’s concurrency model to handle streaming tasks efficiently. gohls can be integrated into backend services to enable adaptive streaming workflows. It supports real-time processing and can work alongside tools like FFmpeg for encoding. Overall, it provides a lightweight solution for implementing HLS streaming pipelines.

The plugin enables seek before download functionality with H264 videos in mp4 or flv for Flowplayer Flash with any http byte-range capable server like Apache or a CDN. Does not require any modifications on the server side. With this plugin you can use single version of your video to delivery to any device (either through html5 video or through Flash player+the plugin) from any http server. Supports simultaneous streaming videos over http from multiple locations.

The Clip-Imp is a flexible web-based streaming media management and delivery system. It has a modular design and adapts easily to new media technologies. The Clip-Imp helps organizations that encode lots of files using consistent encoding practices.

A distributed, peer-to-peer, server-less communication & messaging solution for JAVA (JMS), C++ and .NET applications, integrates with JBoss, WebLogic & WebSphere. Offers guaranteed delivery, security and transactions. Supports TCP, SSL & HTTP protocols.

Open Streaming Server is an digital media delivery. Main characteristics are: - Streaming of mp4, 3gp, WMF, QT files - Dynamic Bandwidth adaptation - Load balancing - Content distribution Technology: C++, Java and CORBA.

Nemo is a performance-based overlay multicast protocol for streaming applications. Nemo achieves high delivery ratio without sacrificing end-to-end latency or incurring additional costs.

Plasmatic is a cross platform multimedia delivery and playback system. While designed primarily for digital signage applications, its flexibility allows for any number of uses.

Objective of Sparsh is to provide java implementation of media transcoder for mobile/handheld devices using WURFL and FFMPEG. This project in its initial releases will be aimed at providing easy integration with existing media delivery platforms.