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
Presentation on how to chat with PDF using ChatGPT code interpreter
Voice and Video over IP Communications: Assessing and Improving User Experience
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
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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.
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%
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
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
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
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
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