情感计算的一个重要目的是建立一个能够对人类情绪进行实时、准确判别的智能系统,以提高人机交互的和谐性,具有广泛的应用前景。在实验室条件下诱发情感需要借助情绪诱发范式(Experimental Paradigm for Inducing Emotions,EPIE)。近年...情感计算的一个重要目的是建立一个能够对人类情绪进行实时、准确判别的智能系统,以提高人机交互的和谐性,具有广泛的应用前景。在实验室条件下诱发情感需要借助情绪诱发范式(Experimental Paradigm for Inducing Emotions,EPIE)。近年来,基于视频的情绪诱发范式获得了大量的关注。然而,少有文献系统性地总结面向情感计算的视频诱发范式中的实验流程和统计方法,以及对实验标准和规范开展梳理和介绍。根据近年来已报道的情感计算的研究成果,回顾了它们所采用的情绪诱发范式,包含情绪模型选择、刺激素材筛选、被试筛选和培训、评价问卷的设计与统计方法、实验流程设计。此外,在总结和评价现有范式的基础之上,对面向情感计算的视频诱发范式的被试选择、素材顺序、自评问卷等提出了新的思路和建议。展开更多
The accuracy of the traditional assessment method of the quality of experience(Qo E) has been facing challenges with the growth of high-definition(HD) video streaming services.Image display-quality damage is the main ...The accuracy of the traditional assessment method of the quality of experience(Qo E) has been facing challenges with the growth of high-definition(HD) video streaming services.Image display-quality damage is the main factor that affects the Qo E in HD video services through UDP network transmission.In this paper,we introduce a novel objective factor known as image damage accumulation(IDA) to assess user's Qo E in HD video services.First,this paper quantitatively analyzed the effect on user quality of experience by IDA and established a mapping relationship between mean opinion scores and IDA.Furthermore,the probability of image damage caused by compression and transmission were analyzed.Based on this analysis,an objective Qo E assessment and prediction method for HD video stream service that evaluated the user experience according to IDA are proposed.The proposed method can achieve assessment and prediction accuracy on three distinct subjective tests.展开更多
文摘情感计算的一个重要目的是建立一个能够对人类情绪进行实时、准确判别的智能系统,以提高人机交互的和谐性,具有广泛的应用前景。在实验室条件下诱发情感需要借助情绪诱发范式(Experimental Paradigm for Inducing Emotions,EPIE)。近年来,基于视频的情绪诱发范式获得了大量的关注。然而,少有文献系统性地总结面向情感计算的视频诱发范式中的实验流程和统计方法,以及对实验标准和规范开展梳理和介绍。根据近年来已报道的情感计算的研究成果,回顾了它们所采用的情绪诱发范式,包含情绪模型选择、刺激素材筛选、被试筛选和培训、评价问卷的设计与统计方法、实验流程设计。此外,在总结和评价现有范式的基础之上,对面向情感计算的视频诱发范式的被试选择、素材顺序、自评问卷等提出了新的思路和建议。
基金supported by the 863 Program(2014AA01A701)NSFC(61271187)+1 种基金the PAPD fundthe CICAEET fund
文摘The accuracy of the traditional assessment method of the quality of experience(Qo E) has been facing challenges with the growth of high-definition(HD) video streaming services.Image display-quality damage is the main factor that affects the Qo E in HD video services through UDP network transmission.In this paper,we introduce a novel objective factor known as image damage accumulation(IDA) to assess user's Qo E in HD video services.First,this paper quantitatively analyzed the effect on user quality of experience by IDA and established a mapping relationship between mean opinion scores and IDA.Furthermore,the probability of image damage caused by compression and transmission were analyzed.Based on this analysis,an objective Qo E assessment and prediction method for HD video stream service that evaluated the user experience according to IDA are proposed.The proposed method can achieve assessment and prediction accuracy on three distinct subjective tests.