video encoding

- Bitmovin
Innovation

ATHENA Lab: Fast Multi-Resolution and Multi-Rate Encoding for HTTP Adaptive Streaming Using Machine Learning (FaRes-ML)

The heterogeneity of the devices on the Internet and the difference among the network conditions of the users make designing a video delivery tool that can adapt to all these differences while maximizing the quality of experience (QoE) for each user a tricky problem. HTTP Adaptive Streaming (HAS) is the de-facto solution for video delivery…

- Bitmovin
VidTech

HDR: Delivering the Best Quality from Encoding to Playback

With the increase in demand for premium content, you’re being pushed to deliver content faster, with increasingly crisp picture quality. To keep up, video industry leaders have to explore ways to take advantage of the luminance, contrast, and color gamut that HDR offers. You’re probably familiar with HDR (high dynamic range) technology. Its brightness, color…

- Bitmovin
Developers

Cloud-based Per-Title Encoding Workflows (with AWS) – Part 2: Implementing the Encoding Workflow

Implementing Cloud-Based Per-Title Encoding in the Real World Bitmovin’s gives developers access to industry-leading codecs and advanced encoding algorithms such as Per-Title. As you saw in the first part of this series, Per-Title Encoding allows you to save money on storage and streaming costs while giving viewers the best perceivable quality for their streaming session. In…

Cloud-based per-title encoding_Featured image
Developers

Cloud-based Per-Title Encoding Workflows (with AWS) – Part 1: Establishing the Architecture

If you work with video on the internet, you know how resource-intensive encoding can be. While moving from in-house to cloud-hosted servers can save you a lot of money, that doesn’t change the fact that processing large videos with modern codecs takes significant computing power.  “Video transcoding is one of the most computationally challenging things…

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