Huawei Technologies Co., Limited

Beijing Didi Infinity Technology and Development Co., Ltd.

Xiaolin Deng

Yu Zhang

Wei Bai

Guanglin Han

Wei Cui

Tao Hu

Ping Yang

Kuan Shi

Zhongyu Cao

Yangbiao Liu

Zhilin Hu

Yong Ye

Zesong Fei

Jun Yin

The present disclosure relates to a system and a method of allocating orders. The system may include a non-transitory computer readable storage medium and a processor. The non-transitory computer may store an executable module. The processor may execute the executable module stored in the computer readable storage medium. The non-transitory computer readable storage medium may include a receiving unit () and an order allocation unit (). The receiving unit () may receive order information and user information. The user information may include location information and/or time information. The order allocation unit () may allocate an order based on the location information and/or the time information. The method may include receiving order information and user information, wherein the order information and the user information may include location information and/or time information, and allocating an order based on the location information and/or the time information.

Order allocation system and method

The method includes: processing a PSNR of each segment of each sample video, determining an ePSNR predictive model according to preset parameters obtained after processing and mean opinion scores of all sample videos, and determining an enhanced mean opinion score eMOS predictive model according to the predictive model. Then, for any video that needs to be evaluated, QoE of the video that needs to be evaluated may be determined according to only the enhanced MOS predictive model and an ePSNR determined according to the ePSNR predictive model. In comparison with a prior-art method for determining QoE in which only a mean value of PERNs of all frames is considered, in this process of measuring quality of experience of a mobile video service, as many as factors that affect a PSNR of a video are considered. Therefore, accurate measurement of quality of experience of an HAS video service can be implemented.

Method and apparatus for measuring quality of experience of mobile video service

Growing community of inventors

Beijing, China

Xiaolin Deng