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- Bitmovin
Innovation

Completing the WebRTC Playback Experience – Enabling Rewind During Real-Time Live Streams

Live streaming has solidified its role as a pivotal component of modern video workflows, enabling platforms and media companies to captivate audiences with that sense of witnessing events as they happen. This trend has gained even greater momentum during and after the pandemic, as users craved live experiences that spanned a variety of interests –…

- Bitmovin
Innovation

VVC: Open-GOP Resolution Switching

At IBC 2023 the Fraunhofer HHI, Spin Digital and Bitmovin are presenting a paper on the practical application of a new feature that was introduced in VVC: Open-GOP resolution switching. In this blog post I want to explain what open-GOP (Group of Pictures) prediction is, what the benefits are and why with VVC open-GOP prediction…

- Bitmovin
Innovation

Bringing Per-Title Encoding to Live Streaming Workflows

Introduction Bitmovin was born from research performed by our co-founders at Alpen-Adria-Universität 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…

gaia
Innovation

GAIA Research Project : A 3 Month Look Back

A few months ago, Bitmovin and the University of Klagenfurt announced a new collaboration on a research project called GAIA, which aims to make video streaming more sustainable. Project ‘GAIA’ is co-funded by the Austrian Research Promotion Agency (FFG) and will focus on helping the video-streaming industry reduce its carbon footprint.  Dr Christian Timmerer is…

- 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,…

- 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
Innovation

ATHENA Lab: Improving Viewer Experiences with Scalable Light Field Coding (SLFC)

Immersive Viewer Experiences with Light Field Imaging  Light field imaging is a promising technology that will provide a more immersive viewing experience. It enables some post-processing tasks like depth estimation, changing the viewport, refocusing, etc. To this end, a huge amount of data needs to be collected, processed, stored, and transmitted, which leaves the challenging…

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