论文标题
Sifter：基于主题的视频策划的混合工作流程
Sifter: A Hybrid Workflow for Theme-based Video Curation at Scale
论文作者
论文摘要
用户生成的内容平台将其庞大的存储库策划为主题汇编，以促进发现高质量材料。寻求紧密编辑控制的平台会雇用人员进行此策划，但是此过程涉及耗时的日常任务，例如筛选数千个视频。我们介绍了SIFTER，该系统通过将自动化技术与人力动力的管道相结合，浏览，选择并达成了有关汇编中包含哪些视频的协议，从而改善了策展过程。我们通过创建来自34,000多个用户生成的视频的12张汇编来评估SIFTER。 Sifter的速度比专用策展人快三倍以上，并且其输出的质量可比。我们反思Sifter引入的挑战和机会，以告知需要大规模对视频的主观人类判断的内容策展系统的设计。
User-generated content platforms curate their vast repositories into thematic compilations that facilitate the discovery of high-quality material. Platforms that seek tight editorial control employ people to do this curation, but this process involves time-consuming routine tasks, such as sifting through thousands of videos. We introduce Sifter, a system that improves the curation process by combining automated techniques with a human-powered pipeline that browses, selects, and reaches an agreement on what videos to include in a compilation. We evaluated Sifter by creating 12 compilations from over 34,000 user-generated videos. Sifter was more than three times faster than dedicated curators, and its output was of comparable quality. We reflect on the challenges and opportunities introduced by Sifter to inform the design of content curation systems that need subjective human judgments of videos at scale.
