Open Source ChromeOS Video Software

libjpeg-turbo is a JPEG image codec that uses SIMD instructions (MMX, SSE2, NEON, AltiVec) to accelerate baseline JPEG compression and decompression on x86, x86-64, ARM, and PowerPC systems. On such systems, libjpeg-turbo is generally 2-6x as fast as libjpeg, all else being equal. On other types of systems, libjpeg-turbo can still outperform libjpeg by a significant amount, by virtue of its highly-optimized Huffman coding routines. In many cases, the performance of libjpeg-turbo rivals that of proprietary high-speed JPEG codecs. libjpeg-turbo implements both the traditional libjpeg API as well as the less powerful but more straightforward TurboJPEG API. libjpeg-turbo also features colorspace extensions that allow it to compress from/decompress to 32-bit and big-endian pixel buffers (RGBX, XBGR, etc.), as well as a full-featured Java interface.

ffmpeg.wasm is a pure WebAssembly (and JavaScript/TypeScript) port of FFmpeg that enables in-browser media recording, conversion, and streaming—letting developers perform video/audio processing entirely client-side without server uploads. Transpiled via Emscripten from FFmpeg and its codecs into WebAssembly. Supports both single-threaded and multi-threaded cores using web workers. Written in TypeScript for improved developer experience.

QtAV is a cross-platform and high performance multimedia playback framework based on Qt and FFmpeg. Features: timeline preview, gpu decoding etc

Library for capturing video from cameras, 3d sensors, frame-grabbers, video files and image sequences. It can also display multiple images using OpenGL with different layouts. Easy integration with OpenCV, CUDA... Perfect for computer vision. Keywords: video capture, computer vision, machine vision, opencv, opengl, cameras, video input devices, firewire, usb, gige

Elucidation is a Python module designed to be an extremely powerful backend for audio and video converters. The aim of the module is to do all the heavy lifting while applications using it are little more than interfaces to it.

jMythAPI is a java library to query and control a MythTV backend and MythTV database. JMythAPI uses the Myth protocol to communicate with the MythTV backend and the MySQL JDBC driver to query the MythTV database. It provides a high level API enabling java developers to easily access MythTV, without the need to know all the details about the underlying protocol and differences between various protocol versions.

LEA is a lightweight eyetracking algorithm library (hence the name) written in and for Java. LEA is able to track eye movements with an ordinary webcam and returns relative movements (up, down, ...). It is also able to compensate for slight head motions.

Must-Watch CSS is a curated collection of high-quality recorded talks and presentations about CSS, covering both foundational topics (like layout, Flexbox, Grid) and more advanced or modern concerns (such as performance, tooling, CSS variables, animations, and architecture). Rather than being a code library, it serves as a learning resource — a “watch-list” for front-end or UI developers who want to deepen their understanding of CSS beyond basic syntax. The repository organizes talks by year and topic, giving a historical and topical overview of how CSS practices and tools have evolved. For learners, this collection allows seeing how experts think about layout, performance, design trade-offs, and how CSS­-related problems are solved in real projects or at scale. It’s especially useful if you prefer video learning over documentation, or if you want to expose a team (or yourself) to a variety of perspectives and opinions about styling, architecture, and CSS best-practices.

Must-Watch JavaScript is a curated list of high-quality talk videos, tutorials, and presentations about JavaScript — covering a variety of topics such as language features, best practices, frameworks, performance, tooling, and evolving JS ecosystem trends. Rather than being code-heavy, it serves as a learning resource for developers who want to gain conceptual wisdom, stay updated with JavaScript evolution, or learn from experts’ experiences and opinions. For someone who wants to deepen their understanding of JavaScript beyond “just writing code,” this repo offers a guided path through well-chosen content that can expand perspective: on architecture, patterns, pitfalls, performance tradeoffs, and the rationale behind design decisions in JS. It's particularly useful for mid- to senior-level developers aiming to refine their craft or for teams trying to align around shared mental models.

video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo provides training recipes and models for standard datasets, as well as ablations that show how many non-local blocks to insert and at which stages. Efficient implementations keep memory and compute manageable so the blocks can be added without rewriting the entire backbone. The result is a practical, drop-in mechanism for upgrading purely local video models into context-aware networks with strong benchmark performance.