Vcodes

Vcodes offers high-performance media processing solutions, supporting major formats and standards used by TV, OTT, and post-production houses. It enables automated media processing workflows, eliminating the need for expensive in-house video expertise. Vcodes provides features li

Link

• Visit resource

Related resources

• FOSDEM 2023: VVenC & VVdeC — Open Source Video Encoding and Playback for VVCFOSDEM Open Media devroom talk by Fraunhofer HHI developers presenting the VVenC encoder and VVdeC decoder for the VVC/H.266 codec.
• RefractGuided AVIF/JPEG XL/WebP conversion tool using an iterative quality-search ("optometrist") approach.
• DeepGameReal-time content-adaptive encoding for cloud gaming using spatiotemporal DNN to weight regions by player gaze/interest, cutting bandwidth…
• VoltageFFmpeg-based encoding API supporting concurrent instances with a priority/retry job queue and webhook notifications.
• Evaluation of NVENC Split-Frame Encoding (SFE) for UHD Video TranscodingAcademic evaluation of NVENC's split-frame encoding feature for UHD video transcoding throughput and quality.
• FOSDEM 2024: VVdeC<>Arm — Optimizing an Open Source VVC Decoder for Arm ArchitecturesFOSDEM Open Media devroom talk detailing Arm-specific performance optimization work on the open-source VVdeC VVC decoder.
• Performance Comparison of AV1, JEM, VP9, and HEVC EncodersFraunhofer HHI SPIE 2017 paper comparing codec internals, BD-BR, and complexity across AV1, JEM, VP9, and HEVC.
• dav1d.wasmWASM port of the dav1d AV1 decoder, SIMD-optimized with TypeScript interfaces, aimed at production use in browsers.
• Differentiable VMAF Re-implementation on PyTorchDifferentiable PyTorch reimplementation of VMAF metric enabling gradient-based codec/RDO optimization, with companion code.
• nano-hevcMinimal educational HEVC encoder written in pure Python, readable-over-fast, for teaching codec internals.