Conviva:流媒体视频分析应避免的五大误区(2023)(英文版)(26页).pdf

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Conviva:流媒体视频分析应避免的五大误区(2023)(英文版)(26页).pdf

1、5 MISTAKES TO AVOID IN STREAMING VIDEO ANALYTICS 1 5 Pivotal Mistakesin Video Streamingto Avoid in 20235 MISTAKES TO AVOID IN STREAMING VIDEO ANALYTICS 2 Mistakes are part of life.Minimizing them is one of the reasons that businesses depend on cutting-edge analytics.That said,there are some issues s

2、o prevalent in the streaming industry that people dont even notice them.This book looks at five of the biggest:In about ten or fifteen minutes of reading,you should have a grasp of these issues.You should also gain some actionable insights about how to minimize their impact on your organization or e

3、liminate the problems completely.Everyone Makes MistakesDepending too much on data warehousesFragmenting experience analyticsUnderestimating 4K UHD migrationsOversimplifying multi-CDN strategiesMaking decisions based on anecdotal evidence5 MISTAKES TO AVOID IN STREAMING VIDEO ANALYTICS 3 Mistake 1:U

4、nderestimating the Complexity of 4K MigrationWhether youre doing it for brand hygiene or quality of experience,your migration will face a number of business and technical challenges.Dont underestimate them;deliver on your Ultra High Definition promises.You need to deliver UHD content despite diverse

5、 device capabilities.Business challenges can include everything from quality control to contract compliance.Public adoption of 4K is on track;the trend is led by cheaper devices.Every-user,every-second,multi-dimensional analytics help identify migration pain points and meet various goals including t

6、hose for cost of ownership,QoE and device support.Key Takeaways5 MISTAKES TO AVOID IN STREAMING VIDEO ANALYTICS 4 Your current quality control processes should apply well to 4K.The key is to use analytics and isolate patterns.This avoids overgeneralizing in a complex environment,which,in turn,helps

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