Improving image quality and interactivity in free-viewpoint video transmission

2014 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR) Pub Date : 2014-05-13 DOI:10.1109/CQR.2014.7152633

H. Sannomiya, Norishige Fukushima, Y. Ishibashi

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引用次数: 1

Abstract

Free-viewpoint video, which enables us to change viewpoint of the video freely, attracts rising attention as visual media. Transmitting such media over an IP network, the network delay deteriorates qualities of the media. In this paper, we propose three types of control for the depth and image transmission method in free-viewpoint video transmission. One is buffering control, another is prediction control, and the other is a combination use of both types of control. The buffering control buffers the viewpoint information, and the prediction control predicts the information. We investigate the effects of the three types of control by Quality of Experience (QoE) assessment. Assessment results show that the optimum buffering time and optimum prediction time exist in the buffering control and the prediction control, respectively. Also, the buffering control improves the image quality, but the interactivity is degraded. The image quality becomes higher by the prediction control. Furthermore, there exist the optimum values of the buffering time and prediction time in the combination use, and the use further improves QoE.

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提高自由视点视频传输中的图像质量和交互性

自由视点视频作为一种视觉媒体越来越受到人们的关注，它使我们能够自由地变换视频的视点。通过IP网络传输此类媒体时，网络延迟会降低媒体的质量。本文提出了三种自由视点视频传输的深度控制和图像传输方法。一种是缓冲控制，另一种是预测控制，还有一种是两种控制的组合使用。缓冲控制对视点信息进行缓冲，预测控制对视点信息进行预测。我们通过体验质量(QoE)评估来研究三种类型控制的效果。评价结果表明，在缓冲控制和预测控制中分别存在最优缓冲时间和最优预测时间。此外，缓冲控制提高了图像质量，但降低了交互性。通过预测控制，提高了图像质量。此外，在组合使用时，存在缓冲时间和预测时间的最优值，并且组合使用进一步提高了QoE。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2014 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR)

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