Development of Kansei estimation models for the sense of presence in audio-visual content
Development of Kansei estimation models for the sense of presence in audio-visual content
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视听内容临场感感性评估模型的开发
DOI：
10.1109/icsmc.2011.6084175
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
K. Ozawa
中科院分区：
文献类型：
--
作者：
Yuichiro Kinoshita;Kazutomo Fukue;K. Ozawa
“在场”一词广泛用于表达视听内容和系统的性能。到目前为止，已经提出了许多先进的视听再现系统，以实现更高程度的存在感。用于评估来自这些系统的存在感的方法在视听内容和系统的进一步发展中也起着重要作用。本文介绍了感性模型的建设，量化评估的程度存在于视听内容。以40种不同类型的视听内容为被试，进行主观评价实验，探讨视听内容特征与感知存在感之间的关系。在评价分数和提取的视听特征的基础上，使用神经网络分别为音频、视频和视听内容构建模型。所构建的模型的性能测试证明了足够的准确性，估计存在感和模型输出和主观评价分数之间的统计学显着的相关性。
The term ‘presence’ is widely used to express the performances of audio-visual content and systems. Until now, many advanced audio-visual reproduction systems have been proposed to enable the perception of a higher degree of presence. Methodologies for evaluating the sense of presence derived from these systems also play an important role in the further evolution of audio-visual content and systems. This paper describes the construction of Kansei models which quantitatively evaluate the degree of presence in audio-visual content. Subjective evaluation experiments were conducted to investigate the relationship between the features of audio-visual content and the perceived sense of presence using 40 different types of audio-visual content. On the basis of evaluation scores and extracted audio-visual features, models were separately constructed for audio, visual and audio-visual content using neural networks. The performance tests of the constructed models demonstrated sufficient accuracy in estimating the sense of presence and statistically significant correlations between the model output and the subjective evaluation scores.