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Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
Voice and Video over IP Communications: Assessing and Improving User Experience
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Voice and Video over IP Communications: Assessing and Improving User Experience

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While video deployment over IP is experiencing a significant boom, overall user experience does not always live up to expectations. RADVISION experts will discuss unique, no-reference, video …

While video deployment over IP is experiencing a significant boom, overall user experience does not always live up to expectations. RADVISION experts will discuss unique, no-reference, video measurement and analysis algorithms that improve user experience for voice and video over IP communications.

By attending this webinar, you will learn:
* Factors that can affects Video Quality
* Different methodology to measure Video Quality
* RADVISION solutions for Video Quality

Who should attend: professionals in visual communication field
* IT managers
* System architects
* Product Managers
* CTOs
* VP R&D
* Telecom operators representatives

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  • 1. Assessing and Improving User Experience Voice and Video over IP Communications
    June 17th, 2010
    Eli Cohen
    Director of Product Management
    Head of Testing tools
    elic@radvision.com
    Anatoli Levine
    President, IMTC
    Director of Product
    Management – Americas
    RADVISION
    alevine@radvision.com
    Carl Ford
    Community Developer,
    4GWE
    Crossfire Media
    carl@crossfiremedia.com
    Tamar Barzuza
    Senior Algorithm
    Researcher
    1
  • 2. Agenda
    IP Video Market
    Video Quality Challenges
    Video Quality innovative research & Standards
    Video Quality Measurement Methodologies
    Video Quality Full-Reference
    Video Quality Online and Real-time Measurement
    RADVISION’s Video Quality Solution
    Q&A
  • 3. Speakers
    Eli Cohen is Director of Product Management at RADVISION.
    For the last 11 years, Eli has created and managed innovative testing systems for VoIP and 3G, including Video Quality measurement.
    Tamar Barzuza is Senior Algorithm Researcher at RADVISION.
    For the past 10 years, Tamar has worked on various projects at RADVISION, including 3D presence and innovative Video Quality measurement.
    Anatoli Levine President, IMTC and Director of Product Management – Americas at RADVISION
    For the last 12 years, Anatoli has helped RADVISION customers deploy RADVISION technology to the greatest benefit. During the same period, Anatoli has promoted interoperability in the global multimedia communications industry in various capacities at the IMTC.
  • 4. An established company that has set the pace for visual communications since 1992, RADVISION is the leading provider of core technologies, products and solutions that enable unified visual communications over IP, 3G and emerging next-generation IMS networks.
  • 5. Video is Everywhere!
    Video Conferencing & Telepresence
    IM &Video Messengers
    Social Networking Sites
    Video Conferencing ASPs
    IP Video Surveillance
    Video Web Collaboration
    Video Streaming
    Video Mobile
  • 6.
  • 7. IP Video – Trend Setters
    Video is widely accepted and demanded, thanks to:
    Skype (34% of all calls: video) and the like
    YouTube and the like
    Social networks (video sharing made simple)
    Desktop video conferencing – widely available
    IPTV implementations
    iPhone 4 – up and coming, will spark new interest
    As adaptations grow, quality becomes
    even more important!
  • 8. IP Video – Additional Influential Factors
    HD Video
    Practical scalable video coding
    4G (pure IP) mobile networks
    Dedicated and super-powerful DSPs and CPUs
  • 9. IP Video in Numbers – growing, growing, growing
    The expected Internet traffic volume for video calling in 2015 is 400,000,000 TB (source: discovery.org)
    The expected Internet volume of Internet video, virtual worlds and gaming in 2015 is 200,000,000 TB
    The market for IPTV video services will reach $26.3 billion in 2011, not including advertising and value-added TV services, according to iSuppli.
  • 10. Video Conferencing Market StatisticsENTERPRISE VIDEO CONFERENCING SYSTEMS UNITS SHIPPED
  • 11. Video Conferencing Market Statistics
    39%
    68%
    Large Enterprise Video Conferencing: Y2008 Revenues $1.5B
    Large Enterprise Video Conferencing: Y2012 Revenues $1.7B
    5%
    23%
    33%
    7%
    Multi Codec TP
    Conf Rooms
    Executive
    Personal Video
    17%
    8%
  • 12. Video Conferencing Market StatisticsENTERPRISE PERSONAL VIDEOCONFERENCING SYSTEMS UNITS SHIPPED
  • 13. Video Quality Measurement Methods
  • 14. The Importance of Video Quality
    Increased user satisfaction
    The visual sense is extremely important
    Video services are becoming a popular mode of
    communication at reasonable prices
  • 15. Factors that Affect Video Quality
    Network conditions
    Source of the video
    Compression level
    Image complexity
    Content type
    Network
    Parameters
    Content
    Parameters
    Video
    Parameters
    Image
    Parameters
    Content
    Type
  • 16. How Video Differs From Voice
    Video compression is complex and handles much more information
    More parameters to configure:
    Network
    Codec
    Content type
    Video HD can use up to 16 Mbs (audio is up to 64Kbs)
  • 17. Video Quality Score Challenges
    Can Video Quality be measured?
    Manually
    Automatically
    If so, how do we measure it?
    Online or offline?
  • 18. MOS
    Mean Opinion Score (MOS):
    The arithmetic mean of all individual observations, ranging from 1 to 5.
    MOS Quality Impairment: 5 Excellent: 4 Good: 3 Fair: 2 Poor: 1 Bad
    Good
    Fair
    Poor
    Bad
  • 19. Video Quality Measurement Methodologies
    “Full-Reference”Offline
    “No Reference”
    Real-time
    Video Quality
  • 20. Video Quality Innovative Research
  • 21. RADVISION’s Video Quality (VQ)
    • 17 years of experience in Video Conf
    • 22. Leading Video Over IP Core technology
    • 23. Compliant with leading standards
    • 24. Plays a vital role in standardization
    • 25. RADVISION’s IPR
    • 26. Proprietary advanced VQ technology
    • 27. VQ cause analysis and optimization
    • 28. Human vision database
    • 29. Unique synchronization algorithm
    • 30. Video Quality - innovative and unique research
    • 31. VQ databases and data analysis
    • 32. VQ assessment techniques
    • 33. VQ formulas and coefficients
    • 34. Stream analysis and synchronization
    • 35. Jointresearch with academia
    • 36. Image processing
    • 37. Packet loss analysis
    • 38. VQ No-Reference algorithms
  • RADVISION’s Human Vision Database
    Video Quality Surveys
    Unprecedented in scope (x1000 inputs)
    Variable contents: video conferences, streaming, motion pictures…
    Variable artifacts: blockiness, packet loss, blurriness…
    Worldwide, different viewing preferences
    Guarantees high correlation with Human Perception
    Database enhanced with state-of-the-art RV Full-Reference algorithms
  • 39. RADVISION’s Packet Loss Detector
    Video packet loss concealment detection based on image content
    Innovative research presented at the 16th European Signal Processing Conference (EUSIPCO2008)
    Over 90% detection precision
  • 40. RADVISION’s Packet Loss Propagation Analysis
    Advanced techniques for packet loss propagation analysis, based on:
    Refresh rate – Intra frame or Intra macro blocks
    Packet loss percentage
    Packet loss patterns
    Standard VMOS: 2.4
    RV VMOS: 2.4
    Standard VMOS: 4.4
    RV VMOS: 2.4
    Standard VMOS: 4.4
    RV VMOS: 4.4
    Figure A: No Packet loss
    Figure B: Packet loss
    Figure C: Propagation of Packet loss
  • 41. RADVISION’s Synchronization Algorithm
    Unique algorithm to synchronize original  degraded
    Different frame rates
    Resizing
    Partial picture
    Picture in picture
    Compression artifacts
    Black period
    Welcome frames
    Logo additions
    Title additions
    25
  • 42. RADVISION’s Content-Based VQ
    Compression: tradeoff between motion and sharpness
    Quality of Experience depends on video content
    VQ algorithms take different types of content into consideration
  • 43. Video Quality Algorithms
  • 44. Video Quality, Full-Reference
    “Full-Reference”
    Full-Reference allows you to perform a Video Quality analysis and compare the degraded video sequence to the original one
    Synchronize original and degraded streams
    Video Quality algorithm based on frame analysis
    Partial picture analysis
  • 45. Video Quality, Full-Reference Metrics
    “Full-Reference”
    Blurriness
    PSNR, MSE
    Blockiness, Blurriness
    Freeze, Frame Loss
    Jitter, Delay, Packet Loss

    Blockiness
    Noise
  • 46. Video Quality No-Reference Standard
    “No Reference”
    ITU G.1070 video quality estimation
    Real-time
    Automatic
    Based on:
    Network
    Codec parameters
    ITU-R BT.500-9. Subjective Video Quality assessment
    Good
    Fair
    Poor
    Bad
  • 47. Advanced Online Video Quality
    “No Reference”
    Additional techniques for performing global video quality estimation, based on:
    Packet loss affectation and propagation
    Quality score based on the dynamism level of the video and compression
    Bit-rate and frame-rate fluctuation considered as indication of quality
    Reason for Video Quality degradation, as well as optimization methods
  • 48. Accuracy
    Our algorithm accuracy is compared to our subjective and objective databases.
    Cross correlation factor of more than 90%. And these results are constantly improving with development and progress.

    ITU . Standard

    RV Advanced techniques
  • 49. RADVISION Video Quality
    Solutions
  • 50. RADVISION Video Quality Solution
    OEM
    VQ SDK is a building block for the development of a wide range of video applications
    ProLab
    R&D and QA-Labs
    SIP, IMS, 3G, H.323 complete testing solutions
    Enterprise &
    Service Provider
    Active Monitoring (H.323 & SIP)
    Voice & Video analysis and measurement (Passive)
  • 51. RADVISION’s VQ SDK:
    The RADVISION VQ Online Toolkit is a building block for the development of a wide range of video applications, to:
    Measure Video Quality in real-time
    Perform Cause Analysis
    Offer quality improvement options
  • 52. Video Quality Passive Monitoring - Features
  • 53. Active Monitoring
    eVident ensures:
    Network readiness for Voice and Video over IP
    Improved/Ensured end-user experience
    Correct network configuration
    Topology emulation, including interaction with various types of infrastructures
    Distributed solution
    Fault protection and preventing problems via proactive testing
    Application & protocol testing using SIP and H.323
  • 54. ProLab - IMS, 3G and VoIP Testing Architecture
    SIP
    IMS
    324M
    H.323
    Terminal
    Server
    Media
    Emulation
    Media Quality
    Automation
  • ProLab
    Thank You!
    Eli Cohen
    http://blog.radvision.com/
    www.radvision.com
    elic@radvision.com | +972-3-7679631

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