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Improving Video Quality in Your Network


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Video communications is growing in use. Its adoption by larger and larger audiences will require IT managers and service providers to validate their networks for video communication. This presentation will explain the various problems affecting video quality and the ways in which video quality analysis can assist fleshing out these problems from networks.

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Improving Video Quality in Your Network

  1. 1. Improving Video Quality in Your Network <br />RADVISION Video Quality solution<br />Eli Cohen<br />Director, Product management <br />
  2. 2. Video In Our World - User Cases<br />Enterprises deploying a new video service <br />Videoconferencing, Video Chat, Video Portal<br />R&D departments building a video application <br />Video terminal, surveillance, Set Top Box, traffic cameras,…<br />Service providers deploying new video services<br />Video Mail, Video-share (V-share), Videoconferencing, …<br />Videophones<br />Room Systems<br />SetTopBoxes<br />IP Phones<br />
  3. 3. Quality of the Video Experience <br />Network ConditionsReal-Time, Streaming, Messaging,<br />Standards, Quality Parameters<br />
  4. 4. Video Quality Issue <br />How do network conditions affect Video Quality? <br />Is your network ready to provide video services?<br />What is the source of the video problem? <br />Local distortion due to packet loss within a high-quality frame (H.264) <br />Local distortion due to packet loss<br />
  5. 5. How Video Differs From Voice<br />A more complex user experience than with audio<br />Video compression includes depth and contains more information <br />More complex network and codec parameters<br />HD Video can use up to 16 Mega<br />
  6. 6. Video Quality Score Challenges<br />Can Video Quality be measured?<br />If so, how do we measured it?<br />
  7. 7. How Network Impairments Affect Video ?<br />
  8. 8. Video Quality Measurement Methods<br />
  9. 9. Video MOS <br />MeanOpinion Score (MOS):<br />The arithmetic mean of all individual observations, ranging from 1 (Bad) to 5 (Excellent).<br />MOS Quality Impairment: 5 Excellent: 4 Good: 3 Fair: 2 Poor: 1 Bad<br />Good<br />Fair<br />Poor<br />Bad<br />
  10. 10. Video Quality Measurement Methodologies<br />“Full-Reference”-Based <br />“No Reference” <br />Image-Based<br />“No Reference” Online <br />Real-time <br />
  11. 11. Video Quality, Full-Reference <br />“Full-Reference”Based <br />Full-reference allows you to perform a Video Quality analysis and compare the original video sequence to a degraded one:<br />Unique synchronization algorithm original and degraded streams <br />Measurement based on frame analysis<br />Partial or Part-picture analysis <br />
  12. 12. Video Quality Metrics <br />“Full-Reference”Based <br />Blockiness<br />Blurriness<br />Noise<br />Video Metrics such as<br />Blockiness<br />Bluriness<br />PSNR (Noise)<br />Delay<br />Partial Image Analysis :<br />Analyze only the relevant part of the image<br />
  13. 13. Video Quality Online and Real-time Measurement <br />“No Reference”Online <br />ITU G.1070 performs global video quality estimation based on network and codec parameters that are unprecedented in scope to guarantee that the tool maintains the highest correlation with video quality test results measured by individual perception.<br /> Video Quality Online standards<br />ITU-T G.1070 (Objective Video Quality)<br />ITU-R BT.500-9. RADVISION’s extensive Human Vision survey (Subjective Video Quality) to support more codecs<br />
  14. 14. RADVISION Advanced Video Quality <br />Techniques<br />“No Reference”Online <br />Additional technique to perform global video quality estimation based not only on network parameters, but also on:<br />Effect of packet-loss as long as no I-frame is received<br />Quality score based on dynamism level of the video<br />Bit-rate and frame-rate fluctuation considered as indication of quality<br />Quality score based on codec quantization level<br />Reason for video Quality degradation and optimization methods<br />
  15. 15. Video Quality, Image-Based <br />“No Reference”Image - based<br />Video content measurement complex technology in the multimedia world. <br />Video Content algorithm combines network impairment data and video content to diagnose cause for quality issues. <br />Integrated approach enables to isolate operability issues<br />Video Content analysis such as Blockiness, blurriness, image loss, … <br />Video MOS is the aggregate of video metrics <br />
  16. 16. RADVISION Video Quality Standard Involvement<br />“No Reference”Image - based<br />Video packet loss concealment detection based on image content <br />Innovative research presented in 16th European Signal Processing Conference (EUSIPCO2008)<br />Different algorithm for I-frame and P-frame<br />Over 90% detection precision<br />
  17. 17. RADVISION Video Quality Solution <br />ProLab<br />
  18. 18. RADVISION Video Quality Solution<br />Video Quality SDK toolkit provides the video Quality measurement in real-time based on objective and subjective correlated to human perception.<br />eVident Voice and Video Quality monitoring solution to improve the video conferencing in the network and to ensure a high quality end user experience. <br />ProLab: Automated tests for voice and video Quality measurement using IMS, SIP, <br />3g-324M and H.323 protocols and multiple Video Quality measurements technology. <br />ProLab<br />Video Quality monitoring is combined both image processing, network impairment data and incorporates standard methodology and diagnose the cause of the quality issue.<br />
  19. 19. ProLab - A Rich Testing Solution for IMS, SIP, H.323, 3G-324M AND VOICE/VIDEO OVER IP<br />ProLab<br />SIP<br />IMS<br />3G-324M<br />H.323<br />Automation<br />Test Result <br />Analysis<br />Server <br />Emulation<br />Terminal <br />Emulation<br />Media Analysis<br />& Quality<br />
  20. 20. eVident Testing Solution<br />eVident ensures:<br />Network readiness for Voice and Video over IP<br />Improved/Ensured end-user experience<br />Correct network configuration<br />Topology emulation, including interaction with various types of infrastructures<br />Fault protection and preventing problems via proactive testing<br />Application & protocol testing using SIP and H.323 <br />
  21. 21. Published White Papers & Articles <br />
  22. 22. Thank You<br />Elie Cohen <br /><br />+97237679631<br />+97257679606<br />