A Video Quality Assessment Method for VoIP Applications Based on User Experience
Authors (first, second and last of 6)
Collection
Image Quality Assessment
Quality assessment plays an important role in optimization, benchmarking, monitoring and evaluation of ubiquitous image and video processing systems and applications. In general, there are four steps involved in a standard image/video processing pipeline: sensing (capture), compression, transmission and display. Each step is subject to a variety of potential deterioration of visual quality and therefore requires dedicated and effective quality assessment techniques. Although a lot of progress has been made to assess distortions due to compression in image and video, quality assessment for sensing remains a largely unexplored area. Topics of interest include how to evaluate the sharpness, blurring and other issues when images are captured and processed. The development of these techniques will not only lead to advanced technologies for evaluation of performance of image sensing systems but also enables a better understanding of the human visual system and accelerates advancement in all image and video technologies.
Editors
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Tingting Jiang
Peking University, China
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Touradj Ebrahimi
Ecole Polytechnique Federale de Lausanne, Switzerland
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Hantao Liu
Cardiff University, UK
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Xiaokang Yang
Shanghai Jiao Tong University, China
