The paper presents a unified, high‑performance frame‑extraction framework that dynamically selects CPU or GPU decoding, leverages multithreaded and CUDA‑accelerated pipelines, keeps frames in memory, and achieves up to ten‑fold latency reductions for diverse AI video‑inference tasks.
Celebrating two decades of the open‑source FFmpeg project, this article explains how its multimedia decoding libraries underpin popular video players and major platforms, recounts the 2011 split that birthed Libav, discusses licensing obligations under LGPL/GPL, and reveals the infamous “shame pillar” list of software that ignored those rules.
This article explains a front‑end solution for generating on‑hover video frame previews by extracting frames from HLS streams using WebAssembly‑compiled FFmpeg, covering playlist parsing, TS decryption, WASM integration, canvas rendering, caching strategies, and performance considerations.
The guide shows how to assemble a low‑latency real‑time video transmission system by connecting a VisionSeed AI camera to a Raspberry Pi 4B, using FFmpeg for OpenMAX‑accelerated H.264 encoding, streaming via an SRS RTMP server over a custom Wi‑Fi hotspot, and tuning playback with FFplay.
This article explains the AI live‑streaming architecture used by Liulishuo, covering the basic workflow of push, server, and pull, video/audio encoding and container formats, streaming protocols such as RTMP, HLS and HTTP‑FLV, SEI integration, and provides a step‑by‑step demo using nginx‑rtmp and FFmpeg.
Jeff Geerling swapped his MacBook Pro for an 8 GB Raspberry Pi 4 for an entire workday, detailing the hardware setup, display tweaks, app replacements, audio/video recording challenges, and performance limits, then concluded whether the Pi can serve as a viable general‑purpose workstation.
This article introduces JAVE2, a Java wrapper for FFmpeg that enables audio and video transcoding, explains installation requirements, shows how to integrate it via Maven/Gradle, provides practical code examples for format conversion and progress monitoring, and addresses common pitfalls such as missing native binaries.
FFmpeg 4.3 has been released, adding support for TrueHD in MP4, Intel QSV‑accelerated MJPEG and VP9 decoding, Vulkan‑based AMD AMF encoding on Linux, AV1 encoding via rav1e, ZeroMQ, VDPAU VP9 decoding, and numerous filter enhancements.
This guide shows how to containerize an Nginx‑RTMP live‑streaming service with Docker, add customizable watermarks, and split the stream to two cloud providers—one with watermark and one without—using ffmpeg, SSL, and HLS playback.
The article explains why video encoding is essential for compression and compatibility, describes the video data processing pipeline, compares four encoding schemes (ffmpeg+x264, openh264, MediaRecorder, MediaCodec) offered by a short‑video SDK, and recommends suitable solutions for various recording and streaming scenarios.
This article details the research, design, and implementation of a high‑efficiency H.265 live‑streaming player on the web using WebAssembly‑compiled FFmpeg, custom I/O, Web Workers, and WebGL rendering to achieve low‑latency, high‑quality playback in modern browsers.
This article explains how to implement high‑efficiency H.265 live‑stream decoding on the web by compiling FFmpeg to WebAssembly, using Web Workers, custom FFmpeg I/O, and WebGL rendering to achieve smooth playback with reasonable CPU and memory usage.
This article describes how a PHP‑based backend service integrates Adobe After Effects' command‑line renderer and FFmpeg to generate, split, concatenate, and compress user‑uploaded video templates for a mini‑program, covering architecture, workflow, code snippets, and performance optimizations.
This article describes how a PHP‑based backend service integrates After Effects' aerender command‑line tool and FFmpeg to automatically generate, split, compress, and deliver video templates for a mini‑program, covering requirement analysis, architecture, rendering workflow, code snippets, and performance optimizations.
This article explains the evolution and advantages of video SDKs, details the core playback pipeline—including decoding, rendering, and audio‑video synchronization—covers cross‑platform implementation on Android, iOS and PC, and shares practical testing experiences and performance‑optimization techniques.
The FFmpeg decision committee has grown from 22 to 33 members, unanimously electing OnVideo CTO Liu Qi—renowned for adding DASH support, integrating China’s AVS2 standard, and maintaining HLS, DASH, and FLV modules—to help shape future codec development and strengthen ties between the Chinese open‑source community and the FFmpeg project.
This article explains how WebRTC-based real-time audio/video uses P2P and server‑relay modes, details the discovery and tracing of rotation metadata issues, describes SDP and RTP header extensions for video orientation, and shows how to map this information to ffmpeg rotation parameters.
This article introduces video playback testing by outlining essential performance metrics, explaining fundamental video processing concepts such as demuxing, decoding, and synchronization, describing common encoding formats and frame‑rate considerations, and reviewing practical tools like FFmpeg and MediaInfo for analysis.
This article explains why an MP4 video can trigger three separate network requests in browsers, how the placement of the moov box causes the issue, and provides practical steps using HandBrake or ffmpeg to reposition the moov box so only a single request is needed.
This article explains why GIFs are inefficient for web animation, demonstrates how to convert GIFs to MP4 or WebM using ffmpeg, and shows how to embed the resulting HTML5 video so it behaves like a GIF while improving performance and file size.
The Android app’s HLS video produced an electric‑like noise because FFmpeg’s av_find_best_stream mistakenly selected the second audio track in a dual‑stream file, a track lacking 1‑8 kHz frequencies, whereas iOS and PC used the correct first track; fixing requires publishing videos with a single audio track and adding detection tools.
This article introduces FFmpeg, outlines its eight core libraries, describes the main command‑line tools (ffmpeg, ffplay, ffprobe), and provides a step‑by‑step example of converting an MP4 video to HEVC with MP3 audio on Windows, including useful help commands and additional features.
By instrumenting and tuning each stage of the playback pipeline—DNS lookup, TCP handshake, HTTP response, FFmpeg stream probing, buffering thresholds, and CDN edge delivery—the Meipai live‑streaming app cut first‑frame latency from over one second to roughly 500 ms, a reduction exceeding 50 %.
This article details a comprehensive analysis and step‑by‑step optimization of the first‑screen latency in mobile live streaming, covering DNS resolution, TCP connection, HTTP response, stream probing, buffering, and practical code changes in ijkplayer/ffmpeg to cut startup time by up to 50% (≈500 ms).
This article examines Android video recording challenges, compares hardware (MediaCodec) and software (FFmpeg + x264/openh264) encoders, highlights device‑specific pitfalls such as color‑format support and alignment, and presents fast NEON‑based algorithms for scaling, rotation, and mirroring of YUV frames.
This article examines Android video encoding challenges, compares hardware (MediaCodec) and software (FFmpeg+x264/openh264) codecs, and presents fast YUV frame preprocessing techniques—including scaling, rotation, and mirroring—using NEON optimizations to achieve high‑quality, low‑latency recordings.
This guide walks through the fundamentals of HLS and RTMP protocols, compares their trade‑offs, and provides step‑by‑step instructions for setting up an Nginx‑RTMP server, configuring HLS, recording with WebRTC, and playing live streams in HTML5 video tags.
This article introduces ffmpeg as a powerful multimedia framework, explains container formats, bitrate, resolution, and frame rate concepts, outlines key live‑streaming performance metrics, and provides essential ffmpeg command‑line options and examples for streaming and transcoding.
This article chronicles the groundbreaking contributions of French programmer Fabrice Bellard—creator of QEMU, FFmpeg, TinyGL, and the record‑breaking Pi computation—alongside a brief look at Linus Torvalds’ Linux and Git milestones, highlighting how visionary engineers reshape computing.
