# H.264 Published articles for H.264. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Announcing Fedora Linux Asahi Remix 45 Beta DevFeed: [Announcing Fedora Linux Asahi Remix 45 Beta]() Original publisher: [Read original article]() Author: Davide Cavalca Published: 2026-09-15T14:05:00Z Content type: release Language: en Sources: [Fedora Magazine]() Topics: [Remix](), [Fedora](), [Linux](), [Hardware](), [GPU](), [dnf]() Tags: [announce](), [apple](), [bugs](), [dnf](), [features](), [fedora-project-community](), [gpu](), [h-264](), [hardware](), [installation](), [linux](), [pre-release](), [release](), [remix](), [report](), [update](), [vp9]() ### AI overview Fedora Asahi Remix 45 Beta is available for Apple Silicon Macs, bringing Fedora Linux 45 Beta and initial out-of-the-box support for Apple M3, M3 Pro, and M3 Max systems. It also adds hardware-accelerated H.264 and VP9 decoding across Apple Silicon, with AV1 decoding on M3 systems. Performance-oriented 3D GPU drivers for M3 systems are deferred to a future Mesa update. ### Source excerpt We are happy to announce the availability of Fedora Linux Asahi Remix 45 Beta. This pre-release will bring the freshly announced Fedora Linux 45 Beta to Apple Silicon Macs. We expect to announce general availability of Fedora Linux Asahi Remix 45 in about a month. This will coincide with the overall Fedora Linux 45 release. [...] ## Renesas RZ/G3L & RZ/G3SE - Ultra-low-power Cortex-A55 MPUs for industrial HMI and IoT applications DevFeed: [Renesas RZ/G3L & RZ/G3SE - Ultra-low-power Cortex-A55 MPUs for industrial HMI and IoT applications]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-11T13:41:08Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [Hardware](), [Arm](), [cpu](), [Internet of things]() Tags: [arm](), [cortex-a55](), [cpu](), [development-board](), [devices](), [display](), [embedded-systems](), [gateway](), [h-264](), [hardware](), [hmi](), [industrial](), [iot](), [linux](), [low-power](), [medical-devices](), [real-time](), [renesas](), [renesas-mcu](), [smarc](), [systems](), [zephyr](), [zephyr-os]() ### AI overview Renesas introduced the RZ/G3L and RZ/G3SE, two 64-bit MPUs for HMI and IoT edge systems. Both use Arm Cortex-A55 application cores and an Arm Cortex-M33 real-time coprocessor. The RZ/G3L adds a Mali-G31 GPU and H.264 codec for richer HMI applications, while the RZ/G3SE targets IoT devices with basic display needs. Both support low-power standby operation. ### Source excerpt Renesas has expanded its RZ/G Series with the RZ/G3L and RZ/G3SE, two new 64-bit MPUs for HMI and IoT edge systems. Both devices integrate up to four Arm Cortex-A55 application cores clocked at up to 1.2 GHz and a 200 MHz Arm Cortex-M33 real-time coprocessor. The two chips are pin-to-pin compatible but target different applications. The RZ/G3L integrates an Arm Mali-G31 3D GPU and H.264 video codec for HMI applications like retail terminals and medical devices. The RZ/G3SE removes the GPU and video codec and is designed for IoT devices with basic display requirements, including EV chargers and industrial gateway devices. Both can reduce standby power consumption to around 1 mW and resume operation quickly from deep standby, which is useful for devices that need to remain connected while consuming very little power. Renesas RZ/G3L and RZ/G3SE specifications: MPU core CPU Quad-core or Dual-core Arm Cortex-A55 @ up to 1.2 [...] The post Renesas RZ/G3L & RZ/G3SE - Ultra-low-power Cortex-A55 MPUs for industrial HMI and IoT applications appeared first on CNX Software - Embedded Systems News. ## Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications DevFeed: [Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-11T03:13:41Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Arm](), [cpu](), [Embedded Systems](), [Artificial Intelligence](), [Internet of things](), [Hardware](), [object-detection](), [Neural Network](), [Transformer]() Tags: [aiot](), [amlogic](), [arm](), [armv9](), [camera](), [computer-vision](), [cortex-a320](), [edge-ai](), [embedded](), [ethernet](), [h-264](), [hardware](), [iot](), [linux](), [llm](), [low-power](), [neural](), [npu](), [object-detection](), [processor](), [security](), [soc]() ### AI overview Amlogic has announced the A123X quad-core and C305X2 dual-core Arm Cortex-A320 SoCs for industrial and battery-powered edge AI and IoT devices. The preliminary specifications include video encoding and decoding, NPUs, image signal processing, camera interfaces, networking, USB, and low-power features. The article notes that full specifications, block diagrams, and software details are not yet available. ### Source excerpt Amlogic has unveiled the A123X quad-core and C305X2 dual-core Arm Cortex-A320 SoCs for industrial and battery-powered Edge AI and IoT applications such as robots, dashcams, IP cameras, video conferencing equipment, and so on. The Arm Cortex-A320 low-power Armv9 CPU core was introduced in February 2025, and Amlogic is the first silicon vendor to announce Cortex-A320 SoCs. Details are sparse, with no full specifications or block diagrams and limited software information, but let's see what we know so far. Amlogic A123X Amlogic A123X specifications: CPU - Quad-core Arm Cortex-A320 processor (Armv9.2-A, SVE2) GPU - None or not disclosed VPU H.264/H.265 encoding at 4K @ 60fps H.264/H.265 decoding at 4K @ 30fps AI 4 TOPS ADLA2 NPU for object detection and tracking CNN models 8 TOPS ADLA3 NPU supporting hardware-accelerated Transformer operations for ViT, LLM, etc. Neural network-based hardware SED engine for low-power audio event identification ISP - Low-light HDR ISP Supports [...] The post Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications appeared first on CNX Software - Embedded Systems News. ## Orange Pi Zero 4 - Compact Allwinner A733 SBC offers HDMI, USB-C DP, GbE, WiFI 6, PCIe FFC connector for $26.5 and up DevFeed: [Orange Pi Zero 4 - Compact Allwinner A733 SBC offers HDMI, USB-C DP, GbE, WiFI 6, PCIe FFC connector for $26.5 and up]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-08-31T07:13:46Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [SOC](), [Arm](), [cpu](), [wifi 6](), [GPU](), [Bluetooth](), [RISC-V](), [hdmi](), [USB](), [Ethernet](), [OpenGL]() Tags: [allwinner](), [allwinner-a-series](), [android](), [arm](), [armbian](), [bluetooth](), [cortex-a55](), [cpu](), [debian](), [embedded-systems](), [gigabit-ethernet](), [gpu](), [h-264](), [hardware](), [hdmi](), [linux](), [npu](), [opencl](), [orange-pi](), [pcie](), [single-board-computer](), [specifications](), [ubuntu](), [usb](), [vp9](), [vulkan](), [wifi-6]() ### AI overview The Orange Pi Zero 4 is a compact single-board computer based on the Allwinner A733, with up to 8GB of memory, eMMC or UFS storage support, mini HDMI, USB-C DisplayPort, Gigabit Ethernet, Wi-Fi 6, Bluetooth 5.4, camera interfaces, GPIO, and a PCIe FFC connector. The article lists its specifications, planned operating-system images, and expected Armbian support. ### Source excerpt Orange Pi Zero 4 is an affordable yet feature-rich Allwinner A733 single board computer (SBC) with up to 8GB RAM, eMMC/UFS storage footprint, a microSD card slot, and plenty of I/Os. The board packs mini HDMI and USB-C DisplayPort, Gigabit Ethernet, WiFi 6 and Bluetooth 5.4, two MIPI CSI camera connectors, a Raspberry Pi-style PCIe FFC connector, and two GPIO headers into a compact 55x50mm form factor. Orange Pi Zero 4 specifications: SoC - Allwinner A733 CPU Dual-core Arm Cortex-A76 @ up to 2.00 GHz Hexa-core Arm Cortex-A55 @ up to 1.79 GHz Single-core RISC-V E902 real-time core up to 200 MHz GPU - Imagination Technologies BXM-4-64 MC1 GPU with support for OpenGL ES 3.2, Vulkan 1.3, OpenCL 3.0 VPU 8Kp24 H.265/VP9/AVS2 decoding 4Kp30 H.265/H.264 encoding AI accelerator - 3 TOPS NPU System Memory - 1GB, 2GB, 4GB, 6GB, or 8GB LPDDR5/LPDDR4/LPDDR4x; note: 16GB is also listed in the specs, [...] The post Orange Pi Zero 4 - Compact Allwinner A733 SBC offers HDMI, USB-C DP, GbE, WiFI 6, PCIe FFC connector for $26.5 and up appeared first on CNX Software - Embedded Systems News. ## Enhancing Myntra App performance: Transitioning from GIFs to Videos DevFeed: [Enhancing Myntra App performance: Transitioning from GIFs to Videos]() Original publisher: [Read original article]() Author: Kartik Sharma Published: 2025-08-30T07:00:01Z Content type: article Language: en Sources: [Myntra]() Topics: [App](), [image animation](), [Mobile](), [Playback](), [Android](), [iOS]() Tags: [android](), [app](), [gif](), [h-264](), [ios](), [mobile-app-performance](), [performance](), [videos]() ### AI overview Myntra describes transitioning animated content in its Android and iOS apps from GIFs to video formats. The article attributes the change to GIFs' high memory usage, lower visual quality, large file sizes, and resulting performance and loading concerns, while comparing alternatives including WebP, APNG, and H.264/HLS video. ### Source excerpt Introduction In the fast-paced world of e-commerce, every millisecond and every pixel counts. At Myntra, where visual content drives discovery and engagement, we embarked on a critical mission: to revolutionise how animations are delivered in our Android and iOS apps. This journey led us to transition from the ubiquitous GIF format to more efficient video formats, unlocking significant performance gains and a superior user experience. Background on GIFs The Graphics Interchange Format (GIF) has been a widely-used format for looping animations since its introduction in 1987. Its simplicity and broad compatibility made it a go-to choice in mobile apps. However, despite its ubiquity, GIFs come with several drawbacks that can negatively impact app performance and user experience. Challenges with GIFs in Myntra App At Myntra, we used GIFs extensively for animations in our home and brand page's widgets. Our existing Image components provided easy GIF playback. However, GIFs came with some serious drawbacks in native mobile environments: High Memory Usage: GIFs often lead to Out of Memory (OOM) errors, especially on low-end devices. Low Quality: Limited frame rates and poor bitmap quality degraded the visual experience. Large File Sizes: GIF assets were large, increasing network load and loading times. To mitigate these issues temporarily, we implemented several workarounds. These included optimising GIF assets and imposing restrictions on the file size of GIFs during the ingestion process. However, these were interim solutions and the move to an alternate was necessary for a more permanent and effective fix. Exploring Alternatives Before settling on a solution, we explored several alternatives to GIFs: WebP: This format offers better compression and quality than GIFs. It has broad web support and is native on Android, but is only supported natively on iOS versions 14 and above. APNG (Animated PNG): APNG provides excellent image quality and strong web browser support. Howe ## ESP H.264 Practical Usage Guide DevFeed: [ESP H.264 Practical Usage Guide]() Original publisher: [Read original article]() Author: John Lee Published: 2025-07-18T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [Espressif](), [ESP32](), [ESP32-P4](), [ESP32-S3](), [Software](), [Internet of things](), [real-time]() Tags: [blog](), [embedded](), [embedded-devices](), [esp32-p4](), [esp32-s3](), [espressif](), [h-264](), [hardware](), [how-to](), [iot](), [memory-optimization](), [multimedia](), [performance-tuning](), [real-time](), [release](), [streaming](), [video]() ### AI overview This guide introduces Espressif's esp_h264 component for H.264 encoding and decoding on ESP32-series microcontrollers. It covers hardware acceleration, memory optimization, dynamic configuration, encoding and decoding workflows, API usage, ROI encoding, motion vector extraction, and dual-stream encoding on ESP32-P4. ### Source excerpt This article introduces Espressif's esp_h264 component, a lightweight H.264 codec optimized for embedded devices. It shows how to leverage hardware acceleration, implement efficient video processing, and optimize performance for various applications. ## How Instagram Reduced Video Processing Time and Improved Video Quality DevFeed: [How Instagram Reduced Video Processing Time and Improved Video Quality]() Original publisher: [Read original article]() Author: Richard Oliver Bray Published: 2024-08-08T13:02:43Z Content type: article Language: en Sources: [Hacking Scale by Better Stack]() Topics: [Instagram](), [Compression](), [Streaming](), [Algorithms]() Tags: [compression](), [encoding](), [h-264](), [instagram](), [quality](), [streaming](), [video]() ### AI overview The article explains Instagram's video upload and publishing pipeline, focusing on encoding and packaging. It describes how Instagram uses AV1 and H.264 encodings, and reports that reducing processing time also improved video quality. ### Source excerpt Ditching this key process gave Instagram users a better video experience ## WebRTC на Android: как включить аппаратное кодирование на множестве устройств DevFeed: [WebRTC на Android: как включить аппаратное кодирование на множестве устройств]() Original publisher: [Read original article]() Author: Jedo (Badoo) Published: 2020-05-06T13:01:01Z Content type: tutorial Language: ru Sources: [Badoo EN](), [Badoo RU]() Topics: [WebRTC](), [Android]() Tags: [android](), [badoo](), [h-264](), [mobile-development](), [webrtc]() ### AI overview The article describes Badoo's use of WebRTC and the H.264 codec for video calls on Android. It examines device compatibility and explains considerations for enabling hardware H.264 encoding across a wider range of devices. ### Source excerpt Для видеозвонков в Badoo мы используем стандарт WebRTC и кодек H.264. Если верить документации, этот кодек должен без проблем работать на любых устройствах Android начиная с Android 5.0. Но на практике всё оказалось не совсем так. В этой статье я расскажу про особенности реализации аппаратного кодирования для кодека H.264 в WebRTC и о том, как заставить его работать на большем количестве устройств. Читать дальше -> ## How VP9 delivers value for Twitch's esports live streaming DevFeed: [How VP9 delivers value for Twitch's esports live streaming]() Original publisher: [Read original article]() Author: Yueshi Shen Published: 2018-12-19T21:12:17Z Content type: article Language: en Sources: [Twitch]() Topics: [Twitch](), [Compression](), [fpga](), [Streaming](), [Hardware](), [browsers](), [Playback]() Tags: [browsers](), [compression](), [decoding](), [encoding](), [engineering](), [fpga](), [h-264](), [live-streaming](), [streaming](), [twitch](), [videos](), [vp9]() ### AI overview This article explains how Twitch selected FPGA hardware for real-time VP9 encoding of premium esports and partner live streams. It discusses VP9's compression advantages and implementation challenges, and reports at least 25% bitrate savings compared with the highest-quality H.264 encoders used in Twitch's production. ### Source excerpt By: Akrum Elkhazin, Video Algorithm Architect, NGCodec, akrum.elkhazin@ngcodec.com Avinash Ramachandran, Video Software Architect, NGCodec, avinash.ramachandran@ngcodec.com Roshan Baliga, Product Manager, Google, rdb@google.com Jai Krishnan, Product Manager, Google, jaikk@google.com Tarek Amara, Senior Video Specialist, Twitch, amatarek@twitch.tv Alex Converse, Senior Software Engineer, Twitch, alexconv@twitch.tv Yueshi Shen, Principal Research Engineer, Twitch, yshen@twitch.tv Summary: VP9 will soon help Twitch offer a better viewing experience for premium esports and partner channels Video compression is the key to successful delivery of digital video across various applications like broadcast, teleconference, surveillance, and online streaming services. Since 2003 (i.e., 15 years ago), H.264 has been the state-of-the-art video compression format and has enabled HDTV, Blu-ray Disc, Internet video websites (e.g., YouTube, Twitch), and so on. Nevertheless, according to Twitch's recent analysis, H.264 has reached its compression performance limit, particularly for real-time encoding of gaming content at the HD resolution (1080p60). On the other hand, newer-generation video standards, namely VP9, HEVC, and AV1, show significant compression gain, which can bring considerable commercial benefits to content platforms (e.g., offering viewers better video quality, reducing the video loading time and the buffering rate, increasing the customer reach, decreasing the IP transit cost). Currently, although decoding and playback of VP9 video are widely supported on devices and browsers used by Twitch's audience, encoding gaming video content with a high efficiency and real-time performance is a substantial challenge due to the high complexity of VP9. Through a rigorous feasibility study, we have eventually selected FPGA as the hardware platform for real-time VP9 encoding and are deploying it to broadcast our premium eSports and partner channels in the near future (please watch t ## Bringing An Awesome App to Life: 1 Second Everyday for Android - Touchlab DevFeed: [Bringing An Awesome App to Life: 1 Second Everyday for Android - Touchlab]() Original publisher: [Read original article]() Published: 2013-08-01T22:37:00Z Content type: article Language: en Sources: [Touchlab | Enterprise Mobile Innovation & Development]() Topics: [Android](), [App](), [Mobile](), [Compression](), [API]() Tags: [android](), [announce](), [app](), [built-by-touchlab](), [codec](), [compression](), [developer](), [h-264](), [press](), [video]() ### AI overview Touchlab announces the Android app for 1 Second Everyday and describes the engineering challenges involved in adding video recording and editing. The team used H.264 to support sharing across platforms and developed techniques to cut and merge one-second clips despite Android's limited built-in video-editing capabilities and manufacturer-specific output differences. ### Source excerpt I'm thrilled to announce today's launch of 1 Second Everyday's Android app. We worked super hard but it was worth it to support such an awesome endeavor.