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Mark Lutsker
Video Quality Algorithms
Expert
VIDEO: COMPRESSION EVOLUTION
1990 – 2000 MPEG2 (Motion Pictures Expert Group)
Video Compression (from up to 20 times to up to 100
times)
------------------------------------------------------------------------
----------------
2000 – 2010 MPEG4 (AVC, H264) (advanced MPEG2)
Video Compression (up to 200 times)
------------------------------------------------------------------------
----------------
2010 – 2020 HEVC (H265) (High Efficiency Video Codec)
Video Compression (up to 400 times)
------------------------------------------------------------------------
----------------
Usually, “up to N times” means that picture/video can be
compressed
up to N times, while Video Quality will still remain acceptable.
1996 – 2000 ECI Telecom, Petach Tikva.
Video Quality Algorithms Expert at HiTV group.
MPEG2 compression.
Compression algorithms: learning, development and verification.
Optimization of compression parameters:
Bit Rate Control mechanism (constant or variable)
Quantization matrices (luminance & chrominance)
Scene Change behavior
GOP length & GOP structure
Bits distribution between different types of frames, etc.
Creation of Video Quality Estimation System (first attempt).
Creation of Video Quality lab.
Encoders Video Quality comparison (subjectively and objectively).
Member of ITU Video Quality working groups (Geneva)
2000 – 2011 Big Band. (Tel Aviv)
Video Quality Algorithms Expert.
MPEG2 & MPEG4 (H264) compression.
Creation of big, well-equipped Video Quality lab,
for subjective and objective VQ estimation:
Encoders, Transcoders, Bit Rate Reduction devices, etc.
Bit Rate Reduction algorithms: development and verification.
Co-author of 3 patents for prioritized bit rate conversion.
Author of SVQA (Software Video Quality Analyzer)
for both MPEG2 & H264 compressions.
Member of VQEG (Video Quality Experts Group)
Member of T1A1 group on Video Quality Metrics
(American National Standard for Telecommunications)
From 2011 Arris corp. (Tel Aviv)
Video Quality Algorithms Expert.
MPEG2, H264 and HEVC compression
MAS (Managed Adaptive Streaming) – algorithm development
for
different devices: monitors, TV (SD & HD), IPAD, smartphones,
etc.
Development of original Human Vision’s based algorithms
for Video Quality assessment, including completely new
algorithm
for HEVC (High Efficiency Video Codec).
Author of new SVQA (Software Video Quality Analyzer)
for all kinds of video compression: MPEG2, H264, HEVC.
1.
1985 – 1996 Scitex Corporation (Herzliya, Israel).
Responsibility for three big projects.
• Photoshop-like image processing. All kinds of picture
changes. Color correction (local & global). Multi-color
correction. 1D, 2D & 3D changes for Red, Green, Blue.
• Color matching. Full color coincidence between printed
image and the same image on the monitor. Development
of original Human-vision oriented algorithm for CMYK 
RGB conversion for different kinds of printers.
• First attempt to create full CMS (Color Management
System) which includes printers, scanners & monitors.
• RGB  XYZ  Lab  CMYK  XYZ  Lab  RGB
conversion, including parameters for all kinds of
different media.

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Mark_Lutsker_Brief_Presentation

  • 1. Mark Lutsker Video Quality Algorithms Expert
  • 2. VIDEO: COMPRESSION EVOLUTION 1990 – 2000 MPEG2 (Motion Pictures Expert Group) Video Compression (from up to 20 times to up to 100 times) ------------------------------------------------------------------------ ---------------- 2000 – 2010 MPEG4 (AVC, H264) (advanced MPEG2) Video Compression (up to 200 times) ------------------------------------------------------------------------ ---------------- 2010 – 2020 HEVC (H265) (High Efficiency Video Codec) Video Compression (up to 400 times) ------------------------------------------------------------------------ ---------------- Usually, “up to N times” means that picture/video can be compressed up to N times, while Video Quality will still remain acceptable.
  • 3. 1996 – 2000 ECI Telecom, Petach Tikva. Video Quality Algorithms Expert at HiTV group. MPEG2 compression. Compression algorithms: learning, development and verification. Optimization of compression parameters: Bit Rate Control mechanism (constant or variable) Quantization matrices (luminance & chrominance) Scene Change behavior GOP length & GOP structure Bits distribution between different types of frames, etc. Creation of Video Quality Estimation System (first attempt). Creation of Video Quality lab. Encoders Video Quality comparison (subjectively and objectively). Member of ITU Video Quality working groups (Geneva)
  • 4. 2000 – 2011 Big Band. (Tel Aviv) Video Quality Algorithms Expert. MPEG2 & MPEG4 (H264) compression. Creation of big, well-equipped Video Quality lab, for subjective and objective VQ estimation: Encoders, Transcoders, Bit Rate Reduction devices, etc. Bit Rate Reduction algorithms: development and verification. Co-author of 3 patents for prioritized bit rate conversion. Author of SVQA (Software Video Quality Analyzer) for both MPEG2 & H264 compressions. Member of VQEG (Video Quality Experts Group) Member of T1A1 group on Video Quality Metrics (American National Standard for Telecommunications)
  • 5. From 2011 Arris corp. (Tel Aviv) Video Quality Algorithms Expert. MPEG2, H264 and HEVC compression MAS (Managed Adaptive Streaming) – algorithm development for different devices: monitors, TV (SD & HD), IPAD, smartphones, etc. Development of original Human Vision’s based algorithms for Video Quality assessment, including completely new algorithm for HEVC (High Efficiency Video Codec). Author of new SVQA (Software Video Quality Analyzer) for all kinds of video compression: MPEG2, H264, HEVC.
  • 6. 1.
  • 7. 1985 – 1996 Scitex Corporation (Herzliya, Israel). Responsibility for three big projects. • Photoshop-like image processing. All kinds of picture changes. Color correction (local & global). Multi-color correction. 1D, 2D & 3D changes for Red, Green, Blue. • Color matching. Full color coincidence between printed image and the same image on the monitor. Development of original Human-vision oriented algorithm for CMYK  RGB conversion for different kinds of printers. • First attempt to create full CMS (Color Management System) which includes printers, scanners & monitors. • RGB  XYZ  Lab  CMYK  XYZ  Lab  RGB conversion, including parameters for all kinds of different media.