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BEGIN:VEVENT
UID:db4df5a1b618696e5a0167fd1cb4625834dda471@swoogo.com
DTSTAMP:20260615T072912Z
DESCRIPTION:Appliance-based encoding is still prevalent today for HD AVC an
 d UHD HEVC. But it begs the question: what will happen when the industry m
 oves to more complex codecs such as AV1 and VVC\, and to higher resolution
 s such as 8K? New codecs such as AV1 and MPEG VVC will enable broadcasters
  and service providers to deliver better experiences\, including 4K\, 8K s
 treaming\, and 8K VR\, but brings with it increased encoding complexities.
  Since adaptive streaming requires multi-resolution synchronized encoding\
 , the delivery of next-generation video becomes even more challenging. In 
 fact\, for live applications\, the amount of complexity will be unmanageab
 le with current CPU or GPU on-premises technologies. \nThis presentation w
 ill look at various codecs (i.e.\, AVC\, HEVC\, AV1 and VVC) at different 
 resolutions (from SD to UHD-2) and compare their encoding complexities. It
  will also examine the limitations of on-premises server based live encodi
 ng and explain how cloud computing can solve these issues. The presentatio
 n will explore at length the various benefits of cloud based encoding\, in
 cluding details about how the cloud enables operators to gain business agi
 lity\, in terms of being able to quickly turn on and turn off services and
  efficiently scale up to support limited event or sports channels that mig
 ht only last for a few days. With cloud-based encoding services\, video co
 ntent and service providers can launch new services without requiring a pr
 e-existing engineering team or datacenter\, both of which can be expensive
 . Using the cloud is also advantageous for channels that would not necessa
 rily have a clear ROI if fixed infrastructure were to be used. \n\nIn addi
 tion\, this presentation will also highlight the concept of elastic encodi
 ng\, where resources are adjusted in real time based on the complexity of 
 the content. This technique applies quite well in a cloud environment and 
 is already showing promising results.
DTSTART:20191022T230000Z
DTEND:20191022T233000Z
LAST-MODIFIED:20260615T072912Z
LOCATION:San Francisco Room
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:How Cloud Technology is Changing the Live Transcoding Landscape
TRANSP:OPAQUE
X-ALT-DESC;FMTTYPE=text/html:Appliance-based encoding is still prevalent to
 day for HD AVC and UHD HEVC. But it begs the question: what will happen wh
 en the industry moves to more complex codecs such as AV1 and VVC\, and to 
 higher resolutions such as 8K? New codecs such as AV1 and MPEG VVC will en
 able broadcasters and service providers to deliver better experiences\, in
 cluding 4K\, 8K streaming\, and 8K VR\, but brings with it increased encod
 ing complexities. Since adaptive streaming requires multi-resolution synch
 ronized encoding\, the delivery of next-generation video becomes even more
  challenging. In fact\, for live applications\, the amount of complexity w
 ill be unmanageable with current CPU or GPU on-premises technologies. <br 
 />\nThis presentation will look at various codecs (i.e.\, AVC\, HEVC\, AV1
  and VVC) at different resolutions (from SD to UHD-2) and compare their en
 coding complexities. It will also examine the limitations of on-premises s
 erver based live encoding and explain how cloud computing can solve these 
 issues. The presentation will explore at length the various benefits of cl
 oud based encoding\, including details about how the cloud enables operato
 rs to gain business agility\, in terms of being able to quickly turn on an
 d turn off services and efficiently scale up to support limited event or s
 ports channels that might only last for a few days. With cloud-based encod
 ing services\, video content and service providers can launch new services
  without requiring a pre-existing engineering team or datacenter\, both of
  which can be expensive. Using the cloud is also advantageous for channels
  that would not necessarily have a clear ROI if fixed infrastructure were 
 to be used. <br /><br />\nIn addition\, this presentation will also highli
 ght the concept of elastic encoding\, where resources are adjusted in real
  time based on the complexity of the content. This technique applies quite
  well in a cloud environment and is already showing promising results. <br
  />
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