SSIMWave’s Video QoE Monitor

The backbone of SQM is the novel SSIMplus family of algorithms, co-invented by Dr. Zhou Wang, the primary inventor of SSIM and a Primetime Emmy winner, and his team after more than fifteen years of world-leading research.

SSIMWave Video Quality Monitor

Accurate & Straightforward

SQM models behaviors of the human visual system to accurately predict video QoE. The solution provides straightforward predictions on what an average consumer would say about the quality of delivered video content on a scale of 0-100 and categorizes the quality as either bad, poor, fair, good, or excellent. The video QoE monitoring engine outperforms leading video quality assessment methods from Industry and Academia by a huge margin.

Accurate & Straightforward

Incredible Speed

Our deep understanding of perceptual video quality assessment and human visual system enables us to design and develop accurate and fast video QoE measurement algorithms. SQM performs QoE of a 4k video at more than 100 fps on a GPU and a 1080p video at more than 60 fps on a multi-core processor.

Incredible Speed

Device Adaptive

The properties of a display device have a major impact on the perceived video QoE. SQM provides precise QoE predictions adapted to user devices.

Device Adaptive

High Dynamic Range QoE Measurement

Human visual system has the remarkable ability to adapt to varying luminance conditions. SQM has the unique capability to perform accurate HDR and standard dynamic range video QoE measurement.

High Dynamic Range QoE Measurement

Cross-Resolution, Dynamic range, and Frame rate QoE Measurement

SQM provides the exclusive ability to measure the impact of video properties such as resolution, dynamic range, and frame rate on perceived video QoE. As a result, the software provides accurate QoE of a test video with reference to the higher resolution, dynamic range, and frame rate source video.

Cross-Resolution, Dynamic range, and Frame rate QoE Measurement

Detailed Quality Maps

SQM accomplishes a remarkable degree of accurate localization, deep to pixel level, and empowers its users to perform precise and in-depth evaluation, comparison, design, and optimization of their video acquisition, processing, compression, storage, reproduction, delivery, and display systems.

Detailed Quality Maps

Reliable, Robust & Easy-To-Use

SQM has gone through numerous detailed testing, validation and comparison using in-house and publicly available subject-rated video quality assessment databases.

Reliable, Robust & Easy-To-Use

Multi-Platform Support

SQM is available with a user-friendly graphical user interface, for Windows, capable of performing batch jobs. SQM is also available as Windows and Linux SDKs and CLIs for real-time, accurate, and device-adaptive video QoE measurement. The libraries support both CPUs and GPUs depending on the availability of hardware

Technology

QoE-driven Smart Adaptive Video Streaming

SSIMWave’s QoE-driven smart adaptive video streaming technology is the engine that drives SSIMWave’s Smart Video Streaming (SVS) product.

Read More
QoE-driven Bandwidth Optimization

SSIMWave’s QoE-driven bandwidth optimization technology is at the core of SSIMWave’s Stream Optimizer (SSO) product.

Read More
Automatic Video QoE Assessment

SSIMWave’s automatic video QoE assessment technology is at the backbone that enables SSIMWave’s file-based and live-SQM software

Read More

Cart

Subtotal:

Checkout