The Harmonic PURE Compression Engine
The Harmonic PURE Compression Engine utilizes
MPEG- 2, AVC and HEVC streams are supported, as are the most common SD, HD and
Harmonic’s market-leading experience in video
compression algorithms and multi-pass encoding
technologies to provide groundbreaking video
quality at the lowest possible bitrates. In addition
to delivering significantly improved efficiency and simplified upgradeability over
competing encoder technologies, PURE Compression enables true codec independence.
UHD content formats, as well as constant, variable and adaptive bitrate streaming.
Many of the algorithm and processing techniques developed by Harmonic over the past two
decades are incorporated into the PURE Compression Engine. The software-based PURE
Compression environment removes many of the restrictions and limitations previously
inherent in ASICs, enabling more performance to be squeezed from existing, well-proven techniques.
This added flexibility extends to deeper, more content-focused video analysis. For example, we now have the ability to support
an arsenal of different motion-estimation algorithms and to apply them adaptively, depending on the content type.
Harmonic products featuring PURE Compression include the:
· Electra™ X2 advanced media processor
· Electra XVM virtualized media processor
· VOS™ Cloud cloud-native media processing solution
· VOS 360 cloud media processing service
Format & Codec Independence
The Next Step:
An optional enhancement for the Harmonic PURE Compression
Engine, EyeQ is a video compression optimization solution that
leverages the function of the human visual system to provide a
superior viewing experience on any device at low bitrates. The
technology delivers consistent, high-quality video with up to 50%
bandwidth savings using a standard AVC codec and with no
requirement to upgrade client devices.
EyeQ is unique in its ability to assess and adjust encoding
parameters to leverage the mechanics of the human eye,
without adding latency to the encoding process. One of the key
elements of the human visual system is the ability to identify
individual shapes in a video image. Humans are also more
sensitive to changes in contrast than to differences in
luminance, more receptive to motion than to texture, and have a
specific ability to recognize faces. By weighing the importance
of these sensitivities against less relevant elements in a video
frame, EyeQ is better able to optimize the balance between VQ
EyeQ employs “quality awareness” to fully measure VQ in real time.
Artificial intelligence built into the software then guides the codec
to focus bits where and when they matter most for the viewer and
reduce bits where they matter less. In this way, EyeQ uses only the
bits needed to hit quality targets, which translates into more
consistent VQ, happier viewers and significant bandwidth savings.
Video quality measurement
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