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Video Trends 2017

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Overview of market trends including coding technology, delivery technology and applications

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Video Trends 2017

  1. 1. 1
  2. 2. Agenda Quality Change Resolution / fps / Color Depth Codecs New Media Coding Machines CPU->GPU / Cloud 2
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  4. 4. Improving Video Quality 4 Increase temporal resolution  More frame: 24 ~ 100 Fps
  5. 5. Increase view points, viewing angle 5  More View (3D): Stereo, Multiple view, free view Increase views – Virtual & 360 1 view 2 views M views -> 360 …
  6. 6. Improving Video Resolution More pixels: SD – HD –UHD (4k, 8K) Increase spatial resolution HDTV UHDTV SDTV
  7. 7. Moving to HDR HDR quality is noticeable from any distance and screen size Resolution is only apparent when you are close HDR is more important for video quality than 4K (Netflix)
  8. 8. Improving Video Quality  More pixel’s info (Better pixel) Higher contrast: SDR vs. HDR Standard (SDR) Enhanced (EDR) High (HDR) 10 16 f-stops n f-stops = a difference of 2n : 1 contrast ratio Quantization bit: 8 – 10 – 12 strong contrast between the bright parts and the dark parts of an image
  9. 9. 9 SDR HDR
  10. 10. Problem of Static Range 10 10-6 106 10-6 106 Picture High dynamic range Real world 0 to 255 10-6 106 10-6 106 Picture High dynamic range Real world 0 to 255
  11. 11. Wider Color Gamut  Current color gamut is limited  Current HDTV (BT.709) – 1990  Created for CRT, and HDTV  Around 100 nits.  8 bpp 11 More Colors: REC. 2020 for UHDTV 10, 12 bpp.
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  13. 13. Media Coding trends  CPU Coding -> GPU Coding  PC->Cloud  Private API from Intel & Nvidia  Pulic/Standardized API  OpenVX  OpenCL  FFMPEG
  14. 14. Moore’s Law  Serial scaling performance has reached its peak.  Processors are not getting faster, but wider
  15. 15. GPUs
  16. 16. CPU vs GPU  GPU devotes more transistors to data processing
  17. 17. GPU Video coding options Intel Intel Media SDK API – High level API FEI API – Lower level API which enables improved coding control Nvidia NVEncode SDK – High level API FFMPEG H264_QSV Encoder (and decoder) filter for Intel GPU NVEnc filter for Nvidia GPU
  18. 18. Comparison Quality vs Performance Source: http://on-demand.gputechconf.com/gtc/2016/presentation/s6226-abhijit-patait-high-performance-video.pdf
  19. 19. Application Increased usage of live video Twitch, YT Gaming Facebook live Music as a monetization feature Youtube is turning to music AR and VR 19
  20. 20. Audio Trends  We see regular streaming going toward higher bitrates with the following formats:  FLAC / ALAC – usually 1411Kb (already exists in some sites). Lossless compression of PCM  MP4 AAC SLS – MP4 AAC Scalable Lossless codec. A relatively new format from 2014. The Codec is made of a base layer encoded as basic AAC with one or more enhancement layers  MQA - Master Quality Authenticated – A new codec for lossless audio  Hi-Res Music – A new “Quality certification” by RIAA  Requires streaming with MQA or MP4 AAC SLS coding  About 1.5Mb  Bitrate Peeling
  21. 21. Oclus RIFT  Audio is usually 4 separate channels but streamed together in a single Ogg file unlike 5.1 for example which are jointly coded channels  No possibility for Audio throttling
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  23. 23. HTTPS, DRM, SPDY, QUIC Increased use of Encryption and DRM Expect 80% of video traffic to be encrypted/DRMed Move toward ABR  SPDY -> HTTP2.0 (not much of a difference)  QUIC traffic might increase to 10% Of total traffic 23
  24. 24. 24 Thank you! More About me: Yossi CohenYossi Cohen yossicohen19@gmail.comyossicohen19@gmail.com +972-545-313092+972-545-313092 Video compression, computer vision and Machine Learning instructor

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