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SSIMWAVE:从2021年的顶部看

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Managing lean production workflows to deliver better viewer experiences without high and variable operational costs is not simple. Ensuring an optimum balance between video quality and bitrate is difficult because QA and optimization tools often do not correlate well with human vision and do not provide a standard scale to set a baseline quality score for internal and external stakeholders. 最终, 最重要的指标是视频体验, 当从内容创建到消费进行跟踪时, 实现视频体验自动化. 

At SSIMWAVE®, we created a Video Experience Automation Platform that connects to any workflow and operationalizes viewer experience data to remove the guesswork and inconsistency from manual QA and validation processes. 通过插入内容创建, 贡献, 分布, 交付步骤, our customers are able to scale their quality assurance function beyond non-metric-based processes so that they can deliver a targeted viewer experience consistently.

我们的艾美奖®授予SSIMPLUS® family of algorithms has the ability to identify precisely what quality is acceptable to viewers on a per genre, 基于不同分辨率的每个设备, 帧速率, 以及大规模的设备. Our technology is used to address video quality issues across the entire library and all streams, 包括:

  • 根据SLA验证第三方内容质量.
  • 识别和纠正不合格的源资产或流.
  • Alert and remedy issues impacting viewer experience from content creation to consumption.
  • Remove wasted delivery spends so that viewers receive a targeted video experience consistently regardless of content type, 属性, 编码方法, 交付网络, 还有回放设备.

Viewers have shown that they have huge appetites for content diversity. Success in delivery in the direct-to-consumer environment means being able to consistently meet viewer experience targets so that viewers keep tuning in and your 业务 runs profitably. I’m happy to talk in much greater detail; please get in touch with me at 阿卜杜勒.rehman@ssimwave.com.

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@ssimwave

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