Abstract:
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.
Abstract:
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.
Abstract:
A method for evaluating quality of video streams includes: obtaining video streams; obtain coding information of video frames in the video stream; evaluating the single frame quality according to the coding information of the video frames; and evaluating the sequence quality according to the single frame quality evaluation result. An apparatus and a system for evaluating quality are also provided. Thus, the quality of video data packets transmitted in a channel can be predicted accurately, and the single frame quality evaluation result of the video frames can be obtained immediately.
Abstract:
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.
Abstract:
An image processing method includes performing horizontal division and vertical division on a longitude-latitude map or a sphere map of a to-be-processed image to obtain sub-areas of the longitude-latitude map or the sphere map, where a division location of the horizontal division is a preset latitude, a division location of the vertical division is determined by a latitude, there are at least two types of vertical division intervals in an area formed by adjacent division locations of the horizontal division, and a vertical division interval is a distance between adjacent division locations of the vertical division, and encoding images of the sub-areas.
Abstract:
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.
Abstract:
A method and an apparatus for determining a small-object region in a video frame. The method includes dividing a current video frame into at least two regions, and determining a global motion vector corresponding to each region; determining an interframe motion vector of each group of adjacent frames in multiple video frames that include the current video frame and a reference frame of the current video frame; determining a candidate small-object region in the current video frame according to the interframe motion vector of the each group of adjacent frames and the determined global motion vector corresponding to each region; and performing filtering on the candidate small-object region in the current video frame, and determining a region obtained after the filtering as a small-object region in the current video frame.
Abstract:
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.
Abstract:
Embodiments of the present invention disclose a shooting method, an apparatus, and a terminal. The method includes: after it is detected that a camera is started, instructing a display screen facing a shooting person to display a preview image; obtaining a preset lighting parameter; controlling a display screen facing a shot target to provide lighting by using the preset lighting parameter; and shooting an image according to a shooting instruction. In the embodiments of the present invention, a display screen may be used as an auxiliary light source, and the display screen is controlled to provide lighting by using a preset lighting parameter, so that the quality of an image shot by a camera in a low light condition is improved.
Abstract:
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.