Tektronix introduced its “Spectra2|VQM” (Video Quality Measurement) monitoring solution for the diagnosis and analysis of streaming video transmitted over IP.
Spectra2|VQM is a portable monitoring solution that helps identify the causes of poor digital image quality, such as packet loss, delay or data corruption in the IP transport network.
It offers support for multiple-level QoS scores and video industry standard, non-proprietary Forward Error Correction (FEC) analysis.
The Spectra2|VQM is a Windows-based software package that is part of the Tektronix Internet Protocol Diagnostics (IPD) product portfolio. The IPD portfolio provides network equipment manufacturers and service providers with easy-to-use test and measurement tools for the analysis and QoS measurement of media over IP and protocols in the core of converged multi-service networks.
Spectra2|VQM monitors video streams transported over RTP and MPEG2-TS (transport stream) protocols. Spectra2|VQM supports measurement of multiple concurrent standard-definition (SD) video streams as well as high-definition (HD) video streams. Users can generate real-time video streaming quality metrics such as presence, accuracy and objective Mean Opinion Scores (MOS) that they can use to diagnose a range of video-related problems at the IP, transport, and content levels. The availability of MOS QoS measurements based on transport and actual uncompressed video content allows users to correlate QoS at both the transport and content levels.
Spectra2|VQM supports both CoP-R3 and RFC 2733, the two main non- proprietary, video industry FEC analysis standards. Spectra2|VQM can perform and analyze FEC algorithms, a technique for improving the reliability of packet transmission over networks which do not provide guaranteed packet delivery. This technique allows the user to view the effectiveness of the correction mechanism and ensure a successful user experience. The software can detect codec over-compression and incorrectly configured FEC for fine- tuning bandwidth versus quality. Users can detect perceived video image quality in real time or historically for individual video streams so that they can develop systems and services that match the visual quality that viewers have come to expect from traditional television broadcasts.
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