基于人群的视频质量评估面临的挑战

Christian Keimel, Julian Habigt, K. Diepold
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引用次数: 33

摘要

基于主观测试的视频质量评估既耗时又昂贵。一种很有前途的传统测试新方法是所谓的众包,将测试工作转移到互联网上。这种方法的优点不仅是获得更大、更多样化的考试科目,而且还大大减轻了经济负担。最近的研究也表明,在某些情况下,基于人群的视频质量评估可以提供与传统测试相当的结果。但是,通常会出现新的问题,因为不再能够控制每个测试细节,从而导致不太可靠的结果。因此,在这种有希望的主观测试方法成为标准化环境中测试的有效替代方案之前,我们将在这篇文章中讨论需要解决的概念、技术、动机和可靠性挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Challenges in crowd-based video quality assessment
Video quality evaluation with subjective testing is both time consuming and expensive. A promising new approach to traditional testing is the so-called crowdsourcing, moving the testing effort into the Internet. The advantages of this approach are not only the access to a larger and more diverse pool of test subjects, but also the significant reduction of the financial burden. Recent contributions have also shown that crowd-based video quality assessment can deliver results comparable to traditional testing in some cases. In general, however, new problems arise, as no longer every test detail can be controlled, resulting in less reliable results. Therefore we will discuss in this contribution the conceptual, technical, motivational and reliability challenges that need to be addressed, before this promising approach to subjective testing can become a valid alternative to the testing in standardized environments.
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