Video conference quality assessment based on cooperative sensing of video and audio

Junxi Wang; Jialin Chen; Xin Tian; Cheng Zhou; Zheng Zhou; Lu Ye

doi:10.1117/12.2209299

17 December 2015 Video conference quality assessment based on cooperative sensing of video and audio

Junxi Wang, Jialin Chen, Xin Tian, Cheng Zhou, Zheng Zhou, Lu Ye

Proceedings Volume 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis; 981116 (2015) https://doi.org/10.1117/12.2209299
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

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.

Citation Download Citation

Junxi Wang, Jialin Chen, Xin Tian, Cheng Zhou, Zheng Zhou, and Lu Ye "Video conference quality assessment based on cooperative sensing of video and audio", Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 981116 (17 December 2015); https://doi.org/10.1117/12.2209299

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KEYWORDS

Video

Image filtering

Video compression

Image quality

Distortion

Databases

Molybdenum

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