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Proceedings Paper

Video conference quality assessment based on cooperative sensing of video and audio
Author(s): Junxi Wang; Jialin Chen; Xin Tian; Cheng Zhou; Zheng Zhou; Lu Ye
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Paper Abstract

This paper presents a method to video conference quality assessment, which is based on cooperative sensing of video and audio. In this method, a proposed video quality evaluation method is used to assess the video frame quality. The video frame is divided into noise image and filtered image by the bilateral filters. It is similar to the characteristic of human visual, which could also be seen as a low-pass filtering. The audio frames are evaluated by the PEAQ algorithm. The two results are integrated to evaluate the video conference quality. A video conference database is built to test the performance of the proposed method. It could be found that the objective results correlate well with MOS. Then we can conclude that the proposed method is efficiency in assessing video conference quality.

Paper Details

Date Published: 17 December 2015
PDF: 7 pages
Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 981116 (17 December 2015); doi: 10.1117/12.2209299
Show Author Affiliations
Junxi Wang, Hubei Electric Power Co. (China)
Jialin Chen, Hubei Electric Power Co. (China)
Xin Tian, Wuhan Univ. (China)
Cheng Zhou, South-Central Univ. for Nationalities (China)
Zheng Zhou, Hubei Electric Power Co. (China)
Lu Ye, Hubei Electric Power Co. (China)

Published in SPIE Proceedings Vol. 9811:
MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis
Jinxue Wang; Zhiguo Cao; Jayaram K. Udupa; Henri Maître, Editor(s)

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