Huawei Technologies Co., Limited

Lina Sun

Lei Zhang

Qingpeng Xie

Shan Gao

Fuzheng Yang

Dong Li

Bing Chen

Liang Zhou

Chang Huang

The present invention discloses a method for measuring user quality of experience QoE, where the method includes the following steps: receiving event information sent by a receiving end, where the event information includes condition information for determining a cause for shortage of valid media data in a buffer of the receiving end; determining, according to the condition information, whether the shortage of the valid media data in the buffer of the receiving end is caused by a service system or caused by a user's action; and measuring QoE decrease degrees according to different causes for the shortage of the valid media data in the buffer, respectively. In the method for measuring QoE according to embodiments of the present invention, shortage of valid media data in a buffer of a receiving end caused by a service system problem and shortage of valid media data in the buffer of the receiving end caused by a user's action are distinguished, and QoE decrease degrees are measured according to different causes for the shortage of the valid media data in the buffer, respectively, so that QoE is measured more accurately and more objectively, and network resources can be used properly.

Method and apparatus for measuring user quality of experience QOE

Embodiments of the present invention provide a multimedia quality monitoring method, and a device. The method includes: determining reference quality of multimedia according to reference video quality and reference audio quality of the multimedia; acquiring multimedia distortion quality that is after video distortion and/or audio distortion of the multimedia occur/occurs; and determining quality of the multimedia according to the reference quality of the multimedia and the multimedia distortion quality. Therefore, accuracy of a multimedia quality monitoring result is improved.

Multimedia quality monitoring method, and device

Embodiments of the present invention provide a method and an apparatus for assessing video quality. The method includes: determining an actual quantization parameter and a critical quantization parameter of the target video according to a target video, where the critical quantization parameter is a maximum quantization parameter of the target video in a case in which a distortion is not evidently identifiable by human eyes; and determining quality of the target video according to the actual quantization parameter and the critical quantization parameter. According to the method and apparatus of the present invention, a critical quantization parameter of a target video is determined, and the actual quantization parameter is compared with the critical quantization parameter, which can accurately determine whether subjective quality of the target video changes strictly monotonically relative to the used actual quantization parameter, so that the video quality can be assessed accurately.

Method and apparatus for assessing video quality

Embodiments of the present invention disclose a method and an apparatus for acquiring video coding compression quality. The method may include: acquiring video stream information; calculating video content complexity according to the video stream information; and calculating video coding compression quality according to the bit rate, the frame rate and the video content complexity. In the embodiments of the present invention, the video coding compression quality may be acquired as long as the video frame information, the bit rate, the frame rate and the video content complexity of a video stream are acquired. The video coding compression quality may be used in subsequent video quality assessment. This process greatly reduces video quality assessment complexity and the assessment may be performed in real time. In addition, the assessed coding compression quality meets the subjective feeling of human eyes better.

Method and apparatus for acquiring video coding compression quality

A method and a device for assessing video encoding quality. The method includes: acquiring a quantization parameter of a slice of a video frame and a quantity of bytes per pixel of the slice of the video frame of the video stream; determining complexity of content of the video according to the quantity of bytes per pixel of the slice of the video frame of the video stream; and predicting the video encoding quality according to the complexity of content of the video and the quantization parameter of the video. In the present invention, the complexity of content of the video is also considered in predicting the video encoding quality. Therefore, encoding quality predicted by a model that is obtained by considering the complexity of content of the video better satisfies subjective feelings of human eyes, thereby improving accuracy of prediction.

Method and device for assessing video encoding quality

In a method for evaluating media quality, media reference quality and rebuffering event distortion quality are obtained, final media quality are determined according to the obtained media reference quality and rebuffering event distortion quality, where a parameter of the rebuffering event distortion quality includes at least one of the following: the number of rebuffering events, a duration of the rebuffering event, a multiple rebuffering event interaction impact parameter, initial media quality, and a factor describing media content complexity. When media quality is calculated, impact of the multiple rebuffering event interaction impact parameter, the initial media quality, and the factor describing media content complexity on the media quality is considered, thereby making a media quality evaluation result more accurate.

Method and apparatus for evaluating media quality

Embodiments of the present invention provide frame type detection and frame size detection methods and apparatuses for a video stream. The video frame type detection method includes: obtaining a size of a current video frame; obtaining a change feature value of the current video frame; obtaining an I-frame threshold of the current video frame; and determining whether the previous first video frame is an I frame according to the change feature value of the current video frame and a change feature value of the previous first video frame, the I-frame threshold of the current video frame, and the size of the current video frame, the size of the previous first video frame, and a size of a previous second video frame. The present invention provides a complete and effective frame type detection method; in addition, impact of a video frame rate is fully considered.

Frame type detection and frame size detection methods and apparatuses for video stream

The present invention discloses a method for measuring user quality of experience QoE, where the method includes the following steps: receiving event information sent by a receiving end, where the event information includes condition information for determining a cause for shortage of valid media data in a buffer of the receiving end; determining, according to the condition information, whether the shortage of the valid media data in the buffer of the receiving end is caused by a service system or caused by a user's action; and measuring QoE decrease degrees according to different causes for the shortage of the valid media data in the buffer, respectively.

Method and apparatus for measuring user quality of experience QoE

A video quality assessment method and a video quality assessment apparatus are provided. The method includes: acquiring parameter information of video data, where the parameter information includes a bit rate, a frame rate, and packet information; performing calculation according to the bit rate or the frame rate to obtain benchmark video quality of the video data; calculating the number of successively lost packets according to the packet information, and calculating the number of effective packet loss times; performing calculation according to the number of effective packet loss times to obtain video packet loss and distortion quality of the video data; and performing calculation according to the benchmark video quality and the video packet loss and distortion quality to obtain final video quality. Using the number of effective packet loss times can accurately assess videos more effectively and reduce algorithm complexity.

Video quality assessment method and apparatus

Embodiments of the present invention provide a multimedia quality monitoring method, and a device. The method includes: determining reference quality of multimedia according to reference video quality and reference audio quality of the multimedia; acquiring multimedia distortion quality after at least one of video distortion and audio distortion of the multimedia occurs; and determining quality of the multimedia according to the reference quality of the multimedia and the multimedia distortion quality. Therefore, accuracy of a multimedia quality monitoring result is improved.

A video data quality assessment method and apparatus are disclosed. The video data quality assessment method includes: acquiring a compression distortion parameter of video data; acquiring a frame impairment distortion parameter/video data rebuffering parameter; and calculating a video quality parameter according to the compression distortion parameter and the frame impairment distortion parameter/video data rebuffering parameter, where the video quality parameter is a difference between the compression distortion parameter and the frame impairment distortion parameter/video data rebuffering parameter.

Video data quality assessment method and apparatus

Embodiments of the present invention disclose a method and an apparatus for obtaining a video quality parameter and an electronic device. The method includes dividing a target video segment into at least one video subsegment, where duration of every video subsegment is at least time perceivable by human eyes; obtaining a video quality parameter of the video subsegment; and processing the video quality parameter of the video subsegment, and obtaining a video quality parameter of the target video segment.

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Shenzhen, China

Lina Sun