Innovation

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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…

- Bitmovin
Innovation

ATHENA Labs: Improving the Quality and Efficiency of Live Video Streaming with Optimizing Resource Utilization in Live Video Streaming (OSCAR)

Live video streaming is a specific type of streaming that a video is broadcasted in real-time. The actual source of the video can be pre-recorded or simultaneously recorded. Live streaming is suitable for live venues, conferences, and gaming. In recent years the demands for watching live venues such as news, concerts, and sports have increased,…

- Bitmovin
Innovation

BitExperiments – Q2Y2020 Hackathon Summary

Can’t stop us noooow – we’re havin’ a remote hackathon Throw what you will at us 2020! That won’t stop the innovation and creativity of the Bitmovin team – in fact, we’re more motivated than ever to create and innovate. Being on lockdown only allowed our team’s creativity to grow – and it’s opened up…

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Innovation

BitExperiments – Q4Y2019 Hackathon Summary

Decode, Decompress, and HACK! Here at Bitmovin, we’re blessed to be surrounded by bright and creative minds. We understand that the stresses of daily work tasks can be overwhelming at times, especially in a dynamic start-up, where your responsibilities can change in a moment. To help alleviate these stresses, we host a quarterly Hackathon and…

AI 3-Pass Encoding is a new level for video quality
Innovation

A.I. Encoding Uses Machine Learning to Speed Up Processing and Improve Quality

A.I. Encoding workflow running on a containerized “chunk-based” infrastructure with ML-based machine learning model delivers industries highest quality video encoder. At Bitmovin, we have been known to push the boundaries for exceptional quality in delivering video content. From our efforts as an early mover in the implementation and development of AV1 to our cloud-native solution…

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