Abstract:
A picture prediction method is provided, which includes: obtaining initial motion information of a current picture block; determining, based on a matching cost criterion, that positions of a pair of reference blocks are a position of a target forward reference block of the current picture block and a position of a target backward reference block of the current picture block, where positions of each pair of reference blocks include a position of a forward reference block and a position of a backward reference block; and for the positions of each pair of reference blocks, a first position offset and a second position offset are in a mirror relationship; and obtaining a predicted value of a pixel value of the current picture block based on a pixel value of the target forward reference block and a pixel value of the target backward reference block.
Abstract:
An image prediction method and apparatus includes obtaining predicted motion information of an image block; determining an initial predicted block of the image block according to the predicted motion information and a reference image of the image block; performing, according to the predicted motion information, L iterative searches in the reference image using an integer pixel step size to obtain an intermediate predicted block of the image block; performing a single search in the reference image using a fractional pixel step size to obtain M predicted blocks of the image block; determining a target predicted block of the image block according to the M predicted blocks and the intermediate predicted block; and obtaining a predicted value of a pixel value of the image block according to a pixel value of the target predicted block.
Abstract:
An image prediction method and a related product, where the image prediction method includes performing intra-frame prediction on a current block using a reference block to obtain an initial predicted pixel value of a pixel in the current block, and performing weighted filtering on the initial predicted pixel value of the pixel in the current block to obtain a predicted pixel value of the pixel in the current block. Weighting coefficients used for the weighted filtering include a horizontal weighting coefficient and a vertical weighting coefficient, and a first attenuation rate factor acting on the horizontal weighting coefficient is different from a second attenuation rate factor acting on the vertical weighting coefficient.
Abstract:
A video data quality estimation method and apparatus are provided. The video data quality estimation method includes: obtaining a parameter used to obtain video quality of the video, where the parameter used to obtain video quality of the video includes at least one of a content complexity factor of the video, an average video frame impairment rate of the video, a sequence impairment rate of the video, or a packet-loss event frequency of the video; and obtaining quality of the video according to the parameter used to obtain video quality of the video.
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 Hypertext Transfer Protocol (HTTP)-based buffer status updating method, device and a buffer status processor are provided, where the method includes, receiving an HTTP request from a terminal, triggering a buffer event according to the HTTP request, where the buffer event includes seek, pause, resume, and stream switch, and the method further includes updating a buffer status according to the buffer event, where the buffer status includes a normal play state, a play paused state, a re-buffering state, and a stream switch state. Hence, the buffer status is updated based on the buffer event in a manner of analyzing only an HTTP Protocol field such that a buffer model is closer to a real client buffer situation.
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:
Embodiments of the present invention provide a method and an apparatus for evaluating audio stream quality, where the method for evaluating audio stream quality includes: determining at least one non-silence audio data packet in a to-be-evaluated audio stream, where the to-be-evaluated audio stream includes at least one non-silence audio data packet, and each non-silence audio data packet includes at least one non-silence audio frame; and evaluating the at least one non-silence audio data packet in the to-be-evaluated audio stream to generate audio quality evaluation information. The method and the apparatus for evaluating audio stream quality provided by the embodiments of the present invention can avoid impact of a silence part on evaluation of audio quality, thereby improving accuracy of evaluating audio stream quality.
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:
The present invention relates to the field of video image processing, and provides a filtering method and an apparatus, to resolve a problem that subjective quality and objective quality of an image deteriorate because filtering processing cannot be performed on internal blocks of a non-translational motion prediction unit.