Synamedia launches new video network solutions

Also on display will be a demo of Synamedia’s virtualized Digital Content Manager (DCM) with Smart Rate Control showing how automation using machine learning can optimize quality levels across the entire footprint to deliver a premium live OTT viewing experience cost effectively.


Synamedia

Synamedia, the world’s largest independent video software provider, will unveil a torrent of new additions to its video network (formerly video processing) portfolio designed to ratchet up the quality and cost effectiveness of live streaming. New solutions will also help customers make more intelligent use of virtualization and cloud, as well as smooth service providers’ infrastructure transformation journey to IP.

 

As the industry moves closer to achieving synchonized latency between live broadcast and OTT streams at scale, Synamedia will show a real-world use case with a latency from content ingest to display on the OTT device of just 6 seconds, which is equivalent to broadcast latency. This is made possible by incorporating Common Media Application Format (CMAF) to reduce workflow complexity and enable bandwidth-efficient, highly scalable delivery across the whole technology infrastructure to ABR-aware client devices including a low-latency DASH device. Synamedia will also unveil plans to support Apple’s Low Latency HLS protocol.

 

Also on display will be a demo of Synamedia’s virtualized Digital Content Manager (DCM) with Smart Rate Control showing how automation using machine learning can optimize quality levels across the entire footprint to deliver a premium live OTT viewing experience cost effectively.

 

Flexing its R&D credentials, Synamedia will use IBC to preview content-aware encoding, fuelled by AI and machine learning techniques. The demo will show a new content-aware encoding algorithm that incorporates information such as program recurrence, program similarity and genre taken from sources such as program guides and the IMDb database. Using pattern matching techniques, operators will be able to predict the required quality/bitrate per program (or event) to optimize the encoding. Applying machine learning techniques will hone the encoding algorithms to further minimize the number of bits used, while maintaining premium video quality.

 

Operational workflow efficiencies will also be in the spotlight at IBC, with the launch of the PowerVu Insights module for video operations teams in the distribution segment. It incorporates a set of monitoring, analytics and remote troubleshooting tools for IP-connected receivers to help customers monitor the video distribution chain and drive greater efficiencies.



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