通过像素错误检测加速Netflix的视频质量控制

By Leo Isikdogan, Jesse Korosi, Zile Liao, Nagendra Kamath, Ananya Poddar

由 Leo Isikdogan、Jesse Korosi、Zile Liao、Nagendra Kamath、Ananya Poddar

At Netflix, we support the filmmaking process that merges creativity with technology. This includes reducing manual workloads wherever possible. Automating tedious tasks that take a lot of time while requiring very little creativity allows our creative partners to devote their time and energy to what matters most: creative storytelling.

在Netflix，我们支持将创造力与技术相结合的电影制作过程。这包括尽可能减少手动工作量。自动化那些耗时且几乎不需要创造力的繁琐任务，使我们的创意合作伙伴能够将时间和精力投入到最重要的事情上：创意叙事。

With that in mind, we developed a new method for quality control (QC) that automatically detects pixel-level artifacts in videos, reducing the need for manual visual reviews in the early stages of QC.

考虑到这一点，我们开发了一种新的质量控制（QC）方法，能够自动检测视频中的像素级伪影，减少在QC早期阶段对手动视觉审查的需求。

Examples of detected pixel errors.

检测到的像素错误示例。

Why This Matters

为什么这很重要

Netflix is deeply invested in ensuring our content creators’ stories are accurately carried from production to screen. As such, we invest manual time and energy in reviewing for technical errors that could distract from our members’ immersion in and enjoyment of these stories.

Netflix深度投资于确保我们的内容创作者的故事能够准确地从制作传递到屏幕。因此，我们投入手动时间和精力来审查可能分散我们会员沉浸于这些故事的技术错误。

Teams spend a lot of time manually reviewing every shot to identify any issues that could cause problems down the line. One of the problems they look for is tiny bright spots caused by malfunctioning camera sensors (often called hot or lit pixels). Flagging those issues is a painstaking and error-prone process. They can be hard to catch even when every single frame in a shot is manually inspected. And if left undetected, they can surface unexpectedly later in production, leading to labor-intensive and costly fixes.

团队花费大量时间手动审查每个镜头，以识别可能在后续过程中造成问题的任何问题。他们寻找的问题之一是由故障相机传感器引起的微小亮点（通常称为热像素或亮像素）。标记这些问题是一个费时且容易出错的过程。即使在手动检查每一帧时，它们也可能很难被发现。如果未被检测到，它们可能会在后期制作中意外出现，导致劳动密集型和昂贵的修复。

By automating these QC checks, we help production teams spot and address issues sooner, reduce ...