Crowdsourcing in Computer Vision

IF 3.8 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, K. Grauman
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引用次数: 122

Abstract

Computer vision systems require large amounts of manually annotated data to properly learn challenging visual concepts. Crowdsourcing platforms offer an inexpensive method to capture human knowledge and understanding, for a vast number of visual perception tasks. Crowdsourcing in Computer Vision describes the types of annotations computer vision researchers have collected using crowdsourcing, and how they have ensured that this data is of high quality while annotation effort is minimized. It begins by discussing data collection on both classic vision tasks, such as object recognition, and recent vision tasks, such as visual story-telling. It then summarizes key design decisions for creating effective data collection interfaces and workflows, and presents strategies for intelligently selecting the most important data instances to annotate. It concludes with some thoughts on the future of crowdsourcing in computer vision. Crowdsourcing in Computer Vision provides an overview of how crowdsourcing has been used in computer vision, enabling a computer vision researcher who has previously not collected non-expert data to devise a data collection strategy. It will also be of help to researchers who focus broadly on crowdsourcing to examine how the latter has been applied in computer vision, and to improve the methods that can be employed to ensure the quality and expedience of data collection.
计算机视觉中的众包
计算机视觉系统需要大量人工标注的数据来正确学习具有挑战性的视觉概念。众包平台提供了一种廉价的方法来获取人类的知识和理解,用于大量的视觉感知任务。计算机视觉中的众包描述了计算机视觉研究人员使用众包收集的注释类型,以及他们如何确保这些数据的高质量,同时最大限度地减少注释工作。它首先讨论了经典视觉任务(如物体识别)和最近的视觉任务(如视觉讲故事)的数据收集。然后总结了创建有效的数据收集接口和工作流的关键设计决策,并提出了智能选择要注释的最重要数据实例的策略。最后对计算机视觉众包的未来进行了一些思考。计算机视觉中的众包提供了如何在计算机视觉中使用众包的概述,使以前没有收集非专家数据的计算机视觉研究人员能够设计数据收集策略。它也将有助于广泛关注众包的研究人员研究后者如何应用于计算机视觉,并改进可用于确保数据收集质量和方便性的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Foundations and Trends in Computer Graphics and Vision
Foundations and Trends in Computer Graphics and Vision COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
31.20
自引率
0.00%
发文量
1
期刊介绍: The growth in all aspects of research in the last decade has led to a multitude of new publications and an exponential increase in published research. Finding a way through the excellent existing literature and keeping up to date has become a major time-consuming problem. Electronic publishing has given researchers instant access to more articles than ever before. But which articles are the essential ones that should be read to understand and keep abreast with developments of any topic? To address this problem Foundations and Trends® in Computer Graphics and Vision publishes high-quality survey and tutorial monographs of the field. Each issue of Foundations and Trends® in Computer Graphics and Vision comprises a 50-100 page monograph written by research leaders in the field. Monographs that give tutorial coverage of subjects, research retrospectives as well as survey papers that offer state-of-the-art reviews fall within the scope of the journal.
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