从嘈杂的原始意见分数中恢复主观媒体质量:非参数视角

IF 8.4 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Andrés Altieri;Lohic Fotio Tiotsop;Giuseppe Valenzise
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引用次数: 0

摘要

本文重点探讨了从终端用户收集的嘈杂意见评分中准确估算多媒体内容主观质量的难题。最先进的方法依赖于参数统计模型来捕捉受试者的评分行为并恢复质量估计值。然而,这些方法有其局限性,因为它们在参数估计过程中往往需要限制性假设来实现数值稳定性,从而导致在建模假设与数据不符时缺乏鲁棒性。为了克服这些局限性,我们提出了向非参数统计方法的范式转变。具体来说,我们提出了三方面的贡献:i) 与假设参数得分分布的主观质量恢复的主流方法相比,我们提出了一种非参数方法,通过测量每个受试者和每个刺激的可靠性来保证更高的准确性,克服了仅测量每个受试者可靠性的现有方法的局限性;ii) 我们提出了 ESQR,一种用于主观质量恢复的非参数算法,通过实验证明,与众多最先进的算法相比,ESQR 对噪声具有更高的鲁棒性,这要归功于与参数方法相比,ESQR 对数据的假设更弱;iii) 我们提出的方法具有理论基础,即,ESQR 是一种用于主观质量恢复的非参数算法。e.,我们定义了一种非参数统计量,并用数学方法证明它提供了分数可靠性的衡量标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Subjective Media Quality Recovery From Noisy Raw Opinion Scores: A Non-Parametric Perspective
This paper focuses on the challenge of accurately estimating the subjective quality of multimedia content from noisy opinion scores gathered from end-users. State-of-the-art methods rely on parametric statistical models to capture the subject's scoring behavior and recover quality estimates. However, these approaches have limitations, as they often require restrictive assumptions to achieve numerical stability during parameter estimation, leading to a lack of robustness when the modeling hypotheses do not fit the data. To overcome these limitations, we propose a paradigm shift towards non-parametric statistical methods. Specifically, we introduce a threefold contribution: i) in contrast to the prevailing approach in subjective quality recovery assuming a parametric score distribution, we propose a non parametric approach that guarantees greater accuracy by measuring reliability per subject and per stimulus, overcoming the limits of existing approaches that measure only per subject reliability; ii) we propose ESQR, a non-parametric algorithm for subjective quality recovery, demonstrating experimentally that it has higher robustness to noise compared to numerous state-of-the-art algorithms, thanks to the weaker assumptions made on data compared to parametric approaches; iii) the proposed approach is theoretically grounded, i.e., we define a non-parametric statistic and prove mathematically that it provides a measure of score reliability.
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来源期刊
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia 工程技术-电信学
CiteScore
11.70
自引率
11.00%
发文量
576
审稿时长
5.5 months
期刊介绍: The IEEE Transactions on Multimedia delves into diverse aspects of multimedia technology and applications, covering circuits, networking, signal processing, systems, software, and systems integration. The scope aligns with the Fields of Interest of the sponsors, ensuring a comprehensive exploration of research in multimedia.
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