Proprietary Technology

IneoQuest’s patented technologies provide the underpinnings of today’s advanced video measurement capabilities. These technologies and capabilities have been developed in collaboration with leaders in the IPTV and packet video industries, and have been licensed for use by others for broad industry use.

iQ MOS

Successfully managing your video-based business depends on balancing the quality you are delivering to your viewers with the cost of doing so. IneoQuest’s iQ-MOS technology, offered on Inspector products, can accurately score your video streams’ quality from 1-5 in real time, as it is being encoded or transcoded prior to delivery. Since iQ-MOS does not require a source reference, it can dramatically simplify the tasks of encoder selection, quality/bandwidth optimization, and A/B viewer engagement testing. It can also provide a baseline quality score that can be compared to comparable measurements further down the distribution chain in a live network, to determine how well your delivery infrastructure is performing.

iQ-MOS has been validated by industry “golden-eye” experts and institutions to accurately provide comparable results to traditional reference based-MOS. iQ-MOS opens the door to encoder optimization, bandwidth cost reductions, and viewer quality level/ engagement testing - all in real time! Up to three levels of iQ-MOS are provided on Inspector products, depending on your requirements. Level 1 provides the basic calculation, and is appropriate for high program-count live channel applications. Levels 2 and 3 provide increasingly deeper calculations and insight desired when comparing and configuring encoders, or diagnosing complex quality issues.

VeriStream

New intelligent quality assurance technologies are needed to monitor Adaptive Streaming, which is used to deliver Over-The-Top (OTT) video. With patented and patent-pending technologies, IneoQuest has developed VeriStream, a Quality of Service (QoS) assurance technology for Adaptive Streaming. VeriStream provides a simple and elegant video quality metric that is scalable and can quickly pinpoint instances of quality degradation in networks that use adaptive streaming.

The Challenges of Adaptive Streaming

Adaptive Streaming is a key technology enabling the spread of internet video. Adaptive Streaming changes the bitrate of the video stream according to bandwidth limitations. This improves video quality of experience (QoE) by increasing the continuity of video playback to the consumer. Instead of stopping the video and rebuffering, the video transitions into a lower quality and continues playing.

With adaptive streaming, the most critical impairments impacting video quality are re-buffering errors (when video cannot continue playing because the buffer has not reached an adequate length) and video skipping (when the video buffer is saturated and some segments are dropped before they can play). To maintain smooth video play, each segment should arrive by the time the previous segment completes its play out. This allows the new video data to arrive and be queued up with enough time to replace the video consumed.

How It Works

By analyzing these refresh and consumption rates, VeriStream provides the necessary information to detect and address all network-induced impairments that can occur in adaptive streaming. It provides an intelligent and proactive metric to ensure proper buffer management and continuity of video delivery. By summarizing the delay factor performance for the system and file transfer, VeriStream provides a single indicator of performance by categorizing the results in a numbered, color-coded index that is easy to use and interpret.

VeriStream White Paper

MDI - The Media Delivery Index

MPEG video transport streams undergo time distortions known as jitter when being transported by packet switched networks such as Ethernet. Identifying and measuring jitter and packet loss in such networks is key to maintaining high quality video delivery. The Media Delivery Index (MDI) is a set of measurements used for monitoring and troubleshooting networks carrying any streaming media type. The MDI can be used to warn or alarm on impairments that result in unacceptable video delivery and on conditions that result in unacceptable network margin before video quality is impacted.

A general approach to using MDI in installing, modifying, or evaluating a video network is:

  1. First identify, locate, and address any packet loss issues using MLR.
  2. Identify, locate, measure, and address jitter margins using DF.
  3. Establish an infrastructure monitor for both DF & MLR for transient upsets exceeding preset thresholds representing network or server changes, mis-configuration, failures, etc. The thresholds may be determined based on the network equipment type, decoder type, margin and quality desired, etc.

The Media Delivery Index (MDI) can be used to monitor both the quality of a delivered video stream as well as to show system margin by providing an accurate measurement of jitter and delay. The MDI addresses a need to assure the health and quality of systems that are delivering ever higher numbers of streams simultaneously by providing a predictable, repeatable measurement rather than relying on subjective human observations. Use of the MDI further provides a network margin indication that warns system operators of impending operational issues with enough advance notice to allow corrective action before observed video is impaired.

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