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Tradeoffs in Subjective Testing Methods for Image and Video Quality Assessment

机译:图像和视频质量评估的主观测试方法的权衡

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An objective quality estimator for either still images or video should accurately estimate the perceived quality scores of a collection of stimuli. New applications and processing techniques will introduce novel distortions that will need to be quantified in terms of perceived quality in order to confidently evaluate an objective quality estimator.rnThe subjective testing method used to obtain the perceived quality scores affects the accuracy and reliability of the data collected. Two common methods used to collect perceived quality scores are absolute categorical rating (ACR) and subjective assessment methodology for video quality (SAMVIQ). The ACR test method presents stimuli in a random order and uses a coarse resolution rating scale for evaluation. The SAMVIQ test method allows the observer to freely view several stimuli multiple times and uses a fine resolution rating scale for evaluation. Ease of implementation typically influences the adoption of ACR over SAMVIQ, since ACR accommodates more stimuli per testing session.rnThis paper investigates the tradeoffs of these two subjective testing methods using three different subjective databases that have perceived quality scores corresponding to the ACR and SAMVIQ test methods. Results are 1) the fine resolution rating scale used by SAMVIQ is superfluous, 2) SAMVIQ scores have greater accuracy than ACR scores for the same number of observers (on average 30% fewer observers were required for SAMVIQ than ACR for the same level of accuracy), 3) SAMVIQ scores better differentiate stimuli than ACR scores, and 4) the consistency of categorical ratings between ACR and SAMVIQ is lower for databases when stimuli are more difficult to distinguish in terms of perceived quality. Increasing the number of observers for ACR generates more accurate scores, competitive with the accuracy found with fewer observers using SAMVIQ. Despite the evidence promoting the use of SAMVIQ to obtain perceived quality scores, scores obtained with ACR predict those obtained with SAMVIQ when the stimuli are easier to distinguish in terms of perceived quality.
机译:静止图像或视频的客观质量估计器应准确估计一组刺激的感知质量得分。新的应用程序和处理技术将引入新颖的失真,这些失真需要根据感知质量进行量化,以便自信地评估客观质量估算器。rn用于获取感知质量得分的主观测试方法会影响所收集数据的准确性和可靠性。 。用来收集感知质量得分的两种常用方法是绝对分类等级(ACR)和视频质量的主观评估方法(SAMVIQ)。 ACR测试方法以随机顺序显示刺激,并使用粗糙分辨率等级量表进行评估。 SAMVIQ测试方法使观察者可以自由查看多次刺激,并使用精细的分辨率等级量表进行评估。易于实施通常会影响ACR相对于SAMVIQ的采用,因为ACR在每个测试会话中均能容纳更多的刺激。 。结果是:1)SAMVIQ使用的精细分辨率等级量表是多余的; 2)在相同观察者人数下,SAMVIQ分数的准确性高于ACR分数(对于相同准确性水平,与ACR相比,平均而言,SAMVIQ需要的观察者少30% ),3)SAMVIQ分数比ACR分数更好地区分刺激,以及4)当刺激在感知质量上更难区分时,数据库的ACR和SAMVIQ类别分类的一致性较低。增加ACR的观察者数量会产生更准确的分数,与使用SAMVIQ的观察者较少的准确性相比具有竞争力。尽管有证据促进使用SAMVIQ来获得感知的质量评分,但是当刺激更易于根据感知的质量进行区分时,使用ACR所获得的评分可以预测通过SAMVIQ所获得的评分。

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