级联微任务的视频注释:一种众包方法

M. N. Amorim, R. M. C. Segundo, Celso A. S. Santos, O. L. Tavares
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引用次数: 3

摘要

本文提出了一种通用的方法来执行众包视频注释,而不需要训练有素的工人和专家。它包括将复杂的注释任务划分为简单和小的微任务,并将它们级联以生成最终结果。此外,这种方法允许使用简单的注释工具,而不是复杂和昂贵的注释系统。此外,它往往会避免那些对工人来说可能是乏味和耗时的活动。级联微任务策略包含在三个步骤的工作流中:准备、注释和表示。开发了一个将四个不同的微任务级联的众包视频注释过程来评估所提出的方法。在这个过程中,额外的内容,如图像、文本、超链接等元素被应用到视频丰富中。为了支持该实验,开发了一个工具包,其中包括基于web的注释工具和聚合方法,以及用于注释视频的表示系统。这个工具包是开源的,可以下载并用于复制这个实验,从而构建不同的众包视频注释系统。
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Video Annotation by Cascading Microtasks: a Crowdsourcing Approach
This paper presents a general approach to perform crowdsourcing video annotation without requiring trained workers nor experts. It consists of dividing complex annotation tasks into simple and small microtasks and cascading them to generate a final result. Moreover, this approach allows using simple annotation tools rather than complex and expensive annotation systems. Also, it tends to avoid activities that may be tedious and time-consuming for workers. The cascade microtasks strategy is included in a workflow of three steps: Preparation, Annotation, and Presentation. A crowdsourcing video annotation process in which four different microtasks were cascaded was developed to evaluate the proposed approach. In the process, extra content such as images, text, hyperlinks and other elements are applied in the video enrichment. To support the experiment was developed a toolkit that includes Web-based annotation tools and aggregation methods, besides a presentation system for the annotated videos. This toolkit is open source and can be downloaded and used to replicate this experiment, as so to construct different crowdsourcing video annotation systems.
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