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:
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.
Abstract:
This application provides a pixel collection circuit comprising an optical-to-electrical converter circuit configured to convert a collected optical signal into an analog signal; an analog-to-digital converter circuit configured to: receive the analog signal from the optical-to-electrical converter circuit; and perform analog-to-digital conversion on the analog signal to obtain a digital signal; a differential circuit configured to: receive the digital signal from the analog-to-digital converter circuit; and obtain a difference signal between a digital signal of a previous triggering moment and the digital signal of a current triggering moment; the previous triggering moment and the current triggering moment are determined by at least a digital clock signal; a comparison circuit configured to receive the difference signal from the differential circuit, and output a pulse signal. A digital component is used to implement the pixel collection circuit in the dynamic vision sensor, so as to reduce noise, reduce interference, and facilitate debugging.
Abstract:
A video data inter prediction method is provided, which includes: determining a candidate motion information list of a current picture block, where the candidate motion information list includes at least one first candidate motion information group, at least one second candidate motion information group, the first candidate motion information group is a motion information group determined based on motion information of preset locations on a first neighboring picture block of the current picture block and a motion model of the first neighboring picture block, the second candidate motion information group is a set of motion information of at least two sample locations that are respectively neighboring to at least two preset locations on the current picture block; determining target motion information from the candidate motion information list; and performing inter prediction on the current picture block based on the target motion information.
Abstract:
This application provides a dynamic vision sensor. The sensor converts an optical signal into an electrical signal by using a photoelectric conversion unit, to generate a photovoltage; performs second-order difference on the photovoltage by using a second-order differential circuit; and generates a second-order event signal based on a result of second-order difference. A camera including the sensor can generate an image based on the second-order event signal, where the image represents a change of a light change speed.
Abstract:
An encoding and decoding method, where the decoding method includes obtaining first information of a coding tree unit (CTU) in a to-be-decoded picture from a bitstream, where the first information indicates an allowed value range of a width-to-height ratio of a coding unit (CU) obtained by dividing the CTU, obtaining division information of the CTU from the bitstream, dividing the CTU into one or more CUs based on the first information and the division information, where a width-to-height ratio of the one or more CUs falls within the value range indicated by the first information, and the plurality of CUs do not overlap each other, and decoding the one or more CUs to obtain a reconstructed pixel of the one or more CUs.
Abstract:
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.
Abstract:
A method and an apparatus for assessing a video freeze distortion degree. The method includes acquiring a frame rate and a freeze feature parameter of a freeze event that are of a video stream, and the freeze event is used to represent a pause of the video stream; and acquiring a freeze event distortion value of the video stream according to the frame rate and the freeze feature parameter that are of the video stream, where the freeze event distortion value is used to represent a distortion degree of the video stream. The method and the apparatus for assessing a video freeze distortion degree in the embodiments of the present invention are more in line with subjective feelings of human, and improve accuracy of a distortion degree assessment.
Abstract:
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.
Abstract:
Embodiments of the present invention provide a buffer state estimation method and device. The method includes: obtaining a first continuous play duration corresponding to media data received by a terminal in a period of the present state estimation; calculating a second continuous play duration corresponding to media data in a current buffer according to a buffer state before the present state estimation and the first continuous play duration; and performing state estimation on the buffer according to the buffer state before the present state estimation, preset buffer configuration parameters and the second continuous play duration, and obtaining the present buffer state and start time and duration of the present buffer state, where the buffer state includes at least one of an initial buffering state, a normal play state, a rebuffering state, a play stop state and a play pause state.