BROWSING POSTS BY

Vignesh V Menon

- Bitmovin
Innovation

Bringing Per-Title Encoding to Live Streaming Workflows

Introduction Bitmovin was born from research performed by our co-founders at Alpen-Adria-Universit√§t Klagenfurt (AAU) and many of the innovations powering our products today are the direct result of the ongoing ATHENA project collaboration between Bitmovin engineers and the Christian Doppler Laboratory at AAU. This post takes a closer look at our recent combined efforts researching…

- Bitmovin
Innovation

Efficiently Predicting Quality with ATHENA’s Video Complexity Analyzer (VCA) project

For online prediction in live streaming applications, selecting low-complexity features is critical to ensure low-latency video streaming without disruptions. For each frame/ video/ video segment, two features, i.e., the average texture energy and the average gradient of the texture energy are determined. A DCT-based energy function is introduced to determine the block-wise texture of each…

- Bitmovin
Innovation

Efficient Multi-Encoding Algorithms for HTTP Adaptive Bitrate Streaming

The Future of HTTP Adaptive Streaming (HAS) According to multiple reports, video viewing will account for as much as 82% of all internet traffic by the end of 2022, as such the popularity of HTTP Adaptive Streaming (HAS) is steadily increasing to efficiently support modern demand. Furthermore, improvements in video characteristics such as frame rate,…

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