# 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. ## CVE-2026-119610 - Gstreamer1-plugins-good: gstreamer1-plugins-good: out-of-bounds heap read in mtap16/mtap24 h.264 rtp depayloader via signed/unsigned underflow DevFeed: [CVE-2026-119610 - Gstreamer1-plugins-good: gstreamer1-plugins-good: out-of-bounds heap read in mtap16/mtap24 h.264 rtp depayloader via signed/unsigned underflow]() Original publisher: [Read original article]() Author: CVEFEED.io; redhat.com Published: 2026-11-09T13:17:05Z Content type: news Language: en Sources: [Latest High/Critical Vulnerabilitiy Feed]() Topics: [Memory Safety]() Tags: [2026](), [accessible](), [aggregation](), [contents](), [conversion](), [counter](), [crash](), [cve](), [cve-2026-119610](), [denial-of-service](), [enterprise-linux](), [h-264](), [heap](), [packet](), [pipeline](), [process](), [processing](), [redhat](), [relay](), [remote](), [rtp](), [time]() ### AI overview A signed/unsigned conversion error in GStreamer's H.264 RTP depayloader can underflow its remaining-length counter when processing truncated MTAP16 or MTAP24 packets. The supplied description says a remote unauthenticated attacker can trigger an out-of-bounds heap read of up to approximately 64 KiB with one malformed RTP packet. The read can crash the receiving pipeline; in relay or transcoding deployments with attacker-accessible output, adjacent heap contents may be exposed. The source gives a severity score of 8.2 (HIGH), but does not identify affected versions or provide mitigation details. ### Source excerpt CVE ID :CVE-2026-119610 Published : Nov. 9, 2026, 1:17 p.m. | 2 hours, 34 minutes ago Description :A flaw was found in GStreamer's gst-plugins-good, specifically in the H.264 RTP depayloader element. When processing MTAP16 or MTAP24 multi-time aggregation RTP packets, a signed/unsigned integer conversion error causes the remaining-length counter to underflow to a large positive value when the packet is truncated. This allows a remote, unauthenticated attacker to trigger an out-of-bounds heap read of up to approximately 64 KiB of process memory by sending a single malformed RTP packet. Successful exploitation can crash the receiving GStreamer pipeline (denial of service), and in relay or transcoding deployments where output is accessible to the attacker, may expose adjacent heap contents. Severity: 8.2 | HIGH Visit the link for more details, such as CVSS details, affected products, timeline, and more... ## $21 ESP32-P4X and ESP32-C61 full-featured board offers Ethernet, WiFi 6, RS485 CAN Bus, MIPI CSI/DSI, and more DevFeed: [$21 ESP32-P4X and ESP32-C61 full-featured board offers Ethernet, WiFi 6, RS485 CAN Bus, MIPI CSI/DSI, and more]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-11-04T10:05:31Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [ESP32-P4](), [PSRAM](), [RISC-V](), [Ethernet](), [USB]() Tags: [ai](), [ble](), [board](), [bus](), [can-bus](), [csi](), [development-board](), [display](), [esp32](), [esp32-p4](), [espressif](), [ethernet](), [fast](), [gateways](), [h-264](), [hardware](), [hp](), [industrial](), [jpeg](), [mipi](), [mipi-csi](), [rs485](), [smart-speaker](), [touchscreen](), [video](), [wifi](), [wifi-6](), [wireless]() ### AI overview The Wireless Tag WT99P461-S1 is a $21 development board built around the WT01P461-S1 module, with ESP32-P4X (confirmed by Wireless Tag as ESP32-P4 v3.2) and ESP32-C61. Compared with the ESP32P4C61-TINY, it adds 10/100 Mbps Ethernet, RS-485, CAN, an onboard microphone and speaker connector; it also has Wi-Fi 6/Bluetooth, microSD, MIPI DSI and CSI, and USB Type-A and Type-C ports. It has 32 MB PSRAM and supports a 7-inch touchscreen. Preloaded ESP-Brookesia firmware includes AI vision demos, MP3 and MJPEG playback, camera support, and network connectivity; H.264 playback is not yet supported. The board costs $21, or $42.50 with a 7-inch display kit, before shipping and taxes. The product page is unclear about the processor version, and the article reports that useful project resources were difficult to find. ### Source excerpt Wireless Tag WT99P461-S1 is an ESP32-P4X and ESP32-C61 board based on the same WT01P461-S1 module as found on the ESP32P4C61-TINY board introduced last June. The main differences are that the WT99P461-S1 is a full-featured development board, adding features such as Fast Ethernet, RS-485, CAN bus, an on-board microphone, and a speaker connector. It still comes with a microSD card slot, MIPI DSI/CSI connectors, and other features, making it suitable for industrial HMIs, gateways, and control applications. WT99P461-S1 specifications: Wireless Module - Wireless-Tag WT01P461-S1 (25 x 25mm) Microcontroller - ESP32-P4X (ESP32-P4 v3.2) MCU Dual-core RISC-V microcontroller @ 360/400 MHz with AI instructions extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core @ up to 40 MHz GPU - 2D Pixel Processing Accelerator (PPA) VPU - H.264 and JPEG codec support Memory - 768 KB HP L2MEM, 32 KB LP SRAM, 8 KB TCM, 32MB PSRAM Storage - 128 KB HP ROM, 16 [...] The post $21 ESP32-P4X and ESP32-C61 full-featured board offers Ethernet, WiFi 6, RS485 CAN Bus, MIPI CSI/DSI, and more appeared first on CNX Software - Embedded Systems News. ## H.264 is magic (2016) DevFeed: [H.264 is magic (2016)]() Original publisher: [Read original article]() Author: Anne Barela Published: 2026-10-29T21:24:22Z Content type: article Language: en Sources: [Adafruit Industries]() Topics: [Compression]() Tags: [1080p](), [h-264](), [history](), [video](), [video-compression]() ### AI overview H.264 reduces video size by removing less noticeable image information and reusing data across frames. In Bala's example, a 300-frame Apple homepage screen capture encodes to 175 KB, while one PNG frame is 1,015 KB. The walkthrough describes transforming image data into the frequency domain and discarding high-frequency detail, then storing brightness at full resolution but color at a quarter resolution through chroma subsampling, which it says roughly halves bandwidth. Motion compensation uses 16x16 macroblocks and motion vectors; only I-frames contain complete pictures, so backward scrubbing may pause while the decoder rebuilds from the nearest I-frame. A lossless entropy encoder removes remaining redundancy. The excerpt also gives raw 1080p at 60 Hz as about 370 MB/sec and illustrates detail loss at 2% of original information entropy. ### Source excerpt Sid Bala wrote a walkthrough of how H.264 video compression works, published on sidbala.com. He starts with a demonstration: a screen capture of the Apple homepage, 300 frames long, encodes to 175KB as H.264. A single frame of that same video saved as PNG is 1015KB. The post covers the main tricks. Raw 1080p at [...] ## Mesa's Zink Now Offers VA-API Video Acceleration Atop Vulkan Video DevFeed: [Mesa's Zink Now Offers VA-API Video Acceleration Atop Vulkan Video]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-10-16T08:54:45Z Content type: news Language: en Sources: [Phoronix]() Topics: [Vulkan SC](), [API]() Tags: [desktop-linux](), [h-264](), [linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [open-source-graphics](), [phoronix](), [phoronix-test-suite](), [radeon](), [red-hat](), [ubuntu-benchmarks](), [ubuntu-hardware](), [vulkan]() ### AI overview Mesa 26.3 adds initial VA-API video acceleration support to the Zink Gallium3D driver using Vulkan Video. The implementation currently supports H.264 decoding; H.265 and AV1 acceleration work is underway but has not been merged. Testing has mostly used Radeon RADV. ### Source excerpt Merged today to Mesa 26.3 is initial video acceleration support for the generic Zink Gallium3D driver built atop the Vulkan APIs. What this implementation allows is exposing Video Acceleration API (VA-API) implemented atop the Vulkan Video interfaces... ## Orange Pi O1 SBC features 16 TOPS SOPHGO BM1688 AI SoC, supports 4G/5G cellular connectivity DevFeed: [Orange Pi O1 SBC features 16 TOPS SOPHGO BM1688 AI SoC, supports 4G/5G cellular connectivity]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-10-14T17:01:28Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [ESP32-P4](), [RISC-V](), [networking news]() Tags: [4g-lte](), [5g](), [acceleration](), [ai-accelerator](), [ai-soc](), [artificial-intelligence-ai](), [bluetooth](), [bluetooth-5-3](), [board](), [camera](), [computer-vision](), [connectors](), [engine](), [h-264](), [hardware](), [linux](), [m-2-nvme](), [memory](), [mipi-csi](), [network](), [orange-pi](), [pi](), [sata](), [sbc](), [single-board-computer](), [sophgo](), [storage](), [ubuntu](), [usb](), [wifi-6]() ### AI overview Orange Pi O1 is a single-board computer built around the SOPHGO BM1688 SoC, with a 16 TOPS AI accelerator, video encoding and decoding capabilities, and multiple storage and connectivity options. The article reports that Ubuntu documentation and software are not yet available, despite the product listing an Ubuntu image and support for local deployment of several language models. ### Source excerpt Orange Pi O1 is a new single board computer (SBC) based on the somewhat older SOPHGO BM1688 octa-core Cortex-A53 SoC with a built-in 16 TOPS AI accelerator/TPU, and support for decoding up to sixteen 1080p30 video streams, or encoding ten. The board comes with 8GB or 16GB memory, supports M.2 NVMe, eMMC module, SPI flash, SATA III, or microSD card storage, and offers HDMI and MIPI DSI display interfaces, two MIPI CSI camera connectors, dual GbE, WiFi 6E, Bluetooth 5.3, and optional 4G/5G cellular connectivity, as well as a few USB ports, audio interfaces, and a 26-pin GPIO header for expansion. Orange Pi O1 specifications: SoC - SOPHGO BM1688 CPU 8-core Arm Cortex-A53 processor @ 1.65 GHz RISC-V C906 co-processor @ 1.2 GHz TPU - SOPHGO Neural Network Acceleration Engine (TPU), delivering 16 TOPS @ INT8 VPU Video decoding - H.264 & H.265 up to 16 channels at 1080p30 Video [...] The post Orange Pi O1 SBC features 16 TOPS SOPHGO BM1688 AI SoC, supports 4G/5G cellular connectivity appeared first on CNX Software - Embedded Systems News. ## Mini Retro TV: a tiny video player with ESP32-S3 DevFeed: [Mini Retro TV: a tiny video player with ESP32-S3]() Original publisher: [Read original article]() Author: Anne Barela Published: 2026-10-13T18:50:15Z Content type: article Language: en Sources: [Adafruit Industries]() Topics: [ESP32-S3]() Tags: [display](), [displays](), [esp32-s3](), [espressif](), [h-264](), [jpeg](), [microcontroller](), [sd-card](), [spi](), [television](), [touchscreen]() ### AI overview Tech Talkies built a miniature video player with an ESP32-S3 touchscreen board. Because decoding H.264 on the microcontroller is impractical, the project converts video into resized JPEG frames stored on a microSD card, which the board displays in sequence. The source says playback controls and support for more display resolutions are planned additions. ### Source excerpt Tech Talkies built a small video player around an ESP32-S3 and posted the build on Hackster.io. The board is a MaTouch Lite ESP32-S3 with a 2.4 inch ST7789 SPI IPS touchscreen, dressed up as a miniature television. Decoding H.264 on a microcontroller is not practical, so the project sidesteps the problem. A video is converted [...] ## What Is an H.264 Streaming Encoder? Settings, Protocols, and Best Practices DevFeed: [What Is an H.264 Streaming Encoder? Settings, Protocols, and Best Practices]() Original publisher: [Read original article]() Author: Jon Whitehead Published: 2026-10-05T00:35:00Z Content type: tutorial Language: en Sources: [DaCast]() Topics: [Web](), [Streaming](), [TCP/IP]() Tags: [best-practices](), [h-264](), [protocols](), [streaming](), [the-video-experts-blog]() ### AI overview A practical guide to H.264 video encoding for live and on-demand streaming. It explains encoding workflows, bitrate and encoder choices, protocol compatibility, and how H.264 compares with newer codecs, emphasizing its broad device support and balance of quality and bandwidth use. ### Source excerpt By Dacast Editorial Team | Reviewed by Jon Whitehead, COO at Dacast | Updated October 2026. If you stream video online, chances are you're using an H.264 streaming encoder, whether you know it or not. In 2026, H.264 remains one of the most widely supported video codecs for live and on-demand streaming. It delivers a solid [...] The post What Is an H.264 Streaming Encoder? Settings, Protocols, and Best Practices appeared first on Dacast. ## Avaota F2 - Allwinner V861 RISC-V SBC targets AI cameras with PTZ and audio support DevFeed: [Avaota F2 - Allwinner V861 RISC-V SBC targets AI cameras with PTZ and audio support]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-10-02T02:00:37Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [RISC-V](), [Embedded Systems](), [Esp32 C2]() Tags: [ai-accelerator](), [allwinner-v-series](), [audio](), [camera](), [chip](), [edge-ai](), [embedded](), [embedded-systems](), [h-264](), [hardware](), [jpeg](), [linux](), [memory](), [motor-control](), [open-source](), [open-source-hardware](), [openwrt](), [risc-v](), [sbc](), [single-board-computer](), [smart-speaker](), [soc](), [speaker]() ### AI overview Avaota F2 is an open-source camera board built around Allwinner's V861 RISC-V SoC. It supports Full HD and 4K camera sensors, PTZ motor control, H.264/H.265 video encoding, and audio connectors, with a 1 TOPS AI accelerator. Unlike the earlier F1, it does not include Wi-Fi. The board is available for $51.59, and the article notes that software details are limited while the developer's SDK tutorials are currently available only in Chinese. ### Source excerpt Avaota F2 is the first SBC based on an Allwinner V861 dual-core 64-bit RISC-V SoC with 128MB on-chip DDR3 memory, support for 4K cameras, H.265 video codec, and a 1 TOPS AI accelerator. It's an update to the earlier Avaota F1 camera board based on an Allwinner V821 SoC. The new open-source hardware F2 SBC offers several benefits, including support for both Full HD and 4K camera sensors, motor control for the PTZ (Pan-Tilt-Zoom) feature, and improved audio support through speaker (one) and microphone (two) connectors. However, the F1 also included WiFi, which the Avaota F2 lacks. Avaota F2 specifications: SoC - Allwinner V861M2-XXX CPU Dual-Core RISC-V XuanTie C907 (RV64GCBV/RV32GGCBV) clocked up to 1.4GHz with RVV 1.0 extensions Single-core RISC-V XuanTie E907 (RV32IMAFC) clocked up to 800MHz VPU Video Encoder H.264/H.265 up to 4K @ 25fps (M)JPEG up to 8192x8192 Video Decoder - (M)JPEG up to 1080p60 AI accelerator - [...] The post Avaota F2 - Allwinner V861 RISC-V SBC targets AI cameras with PTZ and audio support appeared first on CNX Software - Embedded Systems News. ## Redirecting a PS5's RTMP broadcast stream to a local receiver DevFeed: [Redirecting a PS5's RTMP broadcast stream to a local receiver]() Original publisher: [Read original article]() Author: Anne Barela Published: 2026-09-29T16:03:18Z Content type: article Language: en Sources: [Adafruit Industries]() Topics: [TCP/IP](), [Domain Name System (DNS)](), [DNS security](), [vp9](), [Network Attached Storage (NAS)]() Tags: [arduino](), [discord](), [dns](), [gameplay](), [gaming](), [h-264](), [hijacking](), [nginx](), [openwrt](), [openwrt-router](), [ps5](), [raspberry-pi](), [streaming](), [video]() ### AI overview The article describes routing a PS5 broadcast stream to a local receiver by spoofing DNS for a plain RTMP ingest domain. Using dnsmasq, nginx-rtmp, and an OpenWRT router, the setup receives 1080p60 H.264 video with AAC stereo for playback with less than a second of delay. ### Source excerpt Yash Garg wanted to share PS5 gameplay to Discord without buying a capture card, and wrote up the result on yashgarg.dev. The PS5 has a Broadcast button that pushes video to Twitch or YouTube over RTMP, and it finds those servers by DNS lookup. Control the DNS and the stream goes wherever one wants. The [...] ## This wireless eGPU claims to deliver RTX 5090-like performance over Wi-Fi DevFeed: [This wireless eGPU claims to deliver RTX 5090-like performance over Wi-Fi]() Original publisher: [Read original article]() Author: Daniel Sims Published: 2026-09-27T14:12:00Z Content type: news Language: en Sources: [TechSpot]() Topics: [NVIDIA RTX](), [RTX PRO](), [GPU rendering](), [AI Networking]() Tags: [adobe](), [ai](), [blender](), [compute](), [deepseek](), [dlss](), [egpu](), [electronics](), [export](), [external-graphics](), [gaming](), [gemma](), [gemma-4](), [gpu](), [h-264](), [hardware](), [hugging-face](), [llm](), [networking](), [nvidia](), [performance](), [rtx-5090](), [wi-fi](), [wifi](), [wireless]() ### AI overview WiCi is promoting the WiCi One, a wireless external GPU intended to deliver GPU compute to multiple devices over Wi-Fi 7. The article reports company claims and internal benchmarks for gaming, AI model throughput, and video exports, with models planned around Nvidia RTX 5060 Ti and RTX 5090 GPUs. ### Source excerpt WiCi recently began inviting interested parties to sign up for updates about the WiCi One, which aims to become the first successful wireless external graphics card. The device, sponsored by Nvidia's Inception Program, aims to support popular AI tools, games, tablets, laptops, and phones. Read Entire Article ## Meta Portal Given New Life As Extended Display DevFeed: [Meta Portal Given New Life As Extended Display]() Original publisher: [Read original article]() Author: Zoe Skyforest Published: 2026-09-18T11:00:03Z Content type: article Language: en Sources: [Hackaday]() Topics: [Android](), [Hardware](), [Meta](), [APK](), [adb](), [iphone](), [ipad](), [Unix](), [Server](), [make]() Tags: [adb](), [android](), [android-hacks](), [apk](), [apple](), [devices](), [display](), [h-264](), [mediacodec](), [meta](), [meta-portal](), [mirroring](), [server](), [tablet-hacks](), [unix](), [wireless]() ### AI overview This article explains how Wormhole Display repurposes a discontinued Meta Portal as a wireless extended display for Mac, iPhone, and iPad. The Android APK uses an Android port of UxPlay, MediaCodec, and AudioTrack to provide AirPlay screen mirroring and extended-display support. ### Source excerpt The Meta Portal and associated devices are effectively defunct, having been abandoned by the company in 2022. If you've still got one at home, you might be wondering what to ...read more ## 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](), [Security Operations Center](), [Arm](), [cpu](), [Wi-Fi](), [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. ## 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 ## 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: [vp9](), [browser]() Tags: [compression](), [encoding](), [engineering](), [esports](), [fpga](), [gaming](), [h-264](), [hardware](), [live](), [live-streaming](), [performance](), [quality](), [real-time](), [streaming](), [twitch](), [videos](), [vp9]() ### AI overview In tests on five challenging 1080p60 game clips, NGCodec's FPGA-based real-time VP9 encoder delivered comparable or better quality than x264 at about 25% less bitrate in the 4-6 Mbps range. A subjective comparison found VP9 at 4.5 Mbps matched or exceeded x264 at 6 Mbps; PSNR and VMAF results showed a similar bitrate advantage. The comparison used x264's medium preset on an 18-core Intel Xeon, with two-second GOPs and one-second lookahead and VBV buffer. The authors attribute VP9's gains to flexible prediction and transform block sizes, exhaustive rate-distortion mode search accelerated by FPGA, adaptive quantization, and rate control they say keeps quality steadier around scene changes. The excerpt describes the encoder's deployment to premium esports and partner channels as forthcoming; it does not establish that deployment occurred. ### 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]() 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.