Video Processing and Transcoding Best Practices

Video Processing and Transcoding Best Practices Video processing and transcoding help you reach audiences on many screens. A simple, repeatable workflow saves time and keeps quality steady. This guide shares practical steps you can apply today. Plan the pipeline. Ingest, normalize, encode, package, and deliver. Ingest should verify time codes, check for corruption, and log issues. Normalization aligns resolution, frame rate, and color space to a common target family. Choosing codecs and containers. For broad compatibility, use H.264 in MP4. For higher efficiency, consider HEVC/H.265 or AV1. If you need modern streaming, CMAF with HLS or DASH works well. Keep a small set of profiles to avoid fragmentation. ...

September 22, 2025 · 2 min · 317 words

Image and Video Processing for AI Applications

Image and Video Processing for AI Applications Image and video data power many AI tasks, from recognizing objects to understanding actions. Raw files can vary in size, color, and noise, so a clear processing pipeline helps models learn reliably. Consistent inputs reduce surprises during training and make inference faster and more stable. The same ideas work for still images and for sequences in videos, with extra steps to handle time. ...

September 21, 2025 · 2 min · 388 words