Search Results for "cloud system"

StreamPot is a self-hosted video processing platform that provides scalable media transcoding and streaming capabilities through a modern API-driven architecture. It enables users to upload video content, process it into multiple formats, and deliver it efficiently across different devices and network conditions. The system supports adaptive bitrate streaming, allowing videos to be optimized dynamically based on viewer bandwidth. It integrates FFmpeg as its core processing engine, enabling advanced encoding and transformation workflows. StreamPot is designed for deployment in cloud environments, supporting containerization and distributed processing. ...

AutoCrop-Vertical is a Python-based video processing tool that automatically converts horizontal videos into vertical formats optimized for social media platforms. It uses computer vision techniques and AI models such as YOLOv8 to analyze each frame, detect subjects, and dynamically adjust cropping decisions. Instead of applying a static center crop, the system intelligently tracks people or key objects to preserve visual focus and composition. When cropping would degrade the scene, it can...

Superstreamer is a self-hosted video processing and delivery platform designed to simplify the entire workflow from media ingestion to adaptive playback. It provides developers with tools to transcode video files into multiple quality levels and package them into streaming-ready formats such as HLS playlists. The system enables dynamic playlist generation, allowing insertion of elements like ads or bumpers directly into video streams. It supports scalable deployment through containerized...

...The platform emphasizes accessibility by removing the need for local installations or command-line usage. It supports scalable processing, making it suitable for handling multiple conversion jobs in cloud environments. The system is designed with modern web technologies to provide fast and responsive interactions. It also enables developers to integrate transcoding capabilities into web applications. Its architecture bridges frontend usability with backend media processing power.

aws-lambda-ffmpeg is a project that enables running FFmpeg within AWS Lambda environments, allowing serverless media processing workflows. It packages FFmpeg binaries and provides examples of how to execute video and audio processing tasks in a serverless context. The system allows users to perform operations such as transcoding, resizing, and format conversion without managing dedicated servers. It leverages cloud storage services like S3 for input and output handling, enabling scalable processing pipelines. The project demonstrates how to overcome Lambda limitations such as execution time and storage constraints. ...