12 results about "Subjective quality" patented technology

The present disclosure relates to an information processing device and method with which it is possible to suppress any reduction in subjective quality and to suppress any increase in processing load related to mesh reconfiguration. Priority control information, which is information relating to the priority of a process related to mesh reconfiguration, is generated, and a base mesh, a displacement vector, and the priority control information pertaining thereto are encoded to generate a bit stream. Additionally, a bit stream of the priority control information that is the information relating to the priority of a process related to mesh reconfiguration is decoded, the base mesh is subdivided as a process related to the reconfiguration, and the displacement vector is applied to the subdivided mesh in accordance with a priority order based on the priority control information as a process related to the reconfiguration. The present disclosure can be applied to, e.g., information processing devices, electronic apparatuses, information processing methods, and programs.

The present application discloses a VVC code rate control optimization method based on HVS characteristics from the two problems of bit allocation in VVC not matching human visual characteristics and the convergence step being too small when updating parameters and not considering absolute convergence. First, the spatial domain information is obtained by using the Sobel operator; the temporal domain information is adaptively obtained by using the MV information of the reference frame; a special case of temporal domain information extraction method is proposed; then, the frame target bits are divided into two parts, and the CTU level bit allocation is carried out by using the spatial domain information of each CTU; after the completion of a CTU or a frame coding, the quasi-Newton convergence algorithm is used for parameter updating, and the corresponding method is proposed for the convergence of special cases. The video sequence obtained based on the present application can better meet the needs of the human visual system, and the objective quality index and subjective quality can be greatly optimized, and the fluctuation degree of the output coded video is more stable.

The present disclosure relates to a video coding method and device. The video coding method comprises: determining at least one coded block at least partially overlapping with a reference block of a current block; determining, for each coded block in the at least one coded block, a sub-temporal propagation parameter of the current block to each coded block based on a distortion sensitivity of each coded block, respectively; determining a temporal propagation parameter of the current block based on the sub-temporal propagation parameter of each coded block; and video coding the current block based on the temporal propagation parameter. According to the video coding method and device of the present disclosure, the code rate can be better allocated by weighting all the blocks in the propagation chain with human eye sensitivity, thereby improving the subjective quality and coding efficiency of video coding without increasing the computational complexity.

The embodiment of the application discloses a kind of encoding method, device, encoder, medium and product, belong to video coding technique field.The encoding method includes: obtaining multiple candidate encoding parameters, candidate encoding parameters are used to indicate the encoding mode of current frame;Obtain the encoding quality corresponding to multiple candidate encoding parameters respectively by subjective quality prediction model, subjective quality prediction model is the machine learning model obtained by training sample image frame, sample image frame is labeled with reference encoding quality, reference encoding quality is labeled from subjective view, and reference encoding quality is used to express the data consistency before and after sample image frame encoding;From multiple candidate encoding parameters, obtain the target encoding parameter of the encoding quality that meets quality requirement;Output the code stream data of current frame encoding under target encoding parameter.Through subjective quality prediction model, the efficiency of obtaining the encoding mode adapted to current frame is improved, and the accuracy and stability of encoding process are improved.

The invention discloses a cross-platform video conference fusion method and system, and the method comprises the steps: collecting the coding format, equipment type and network state of each terminal, generating a coding capability configuration table, constructing a coding perception quality mapping model in combination with historical subjective quality score data and video content features, and achieving the subjective quality prediction of multiple terminals in a conference scene; the system automatically triggers code control parameter optimization and code rate allocation dynamic adjustment according to the quality score difference of each terminal, a quantization matrix is optimized for low-quality nodes, code rate compression is implemented for high-quality nodes, and the overall visual quality consistency is improved; the prediction model is dynamically corrected based on real-time feedback data, the adaptability and robustness of the model are continuously improved through periodic incremental training, dynamic consistency of video quality of multiple coding nodes in a conference scene is effectively achieved, and collaborative experience is optimized.

The present disclosure relates to a video coding method, device, electronic equipment and computer storage medium, the video coding method comprising: obtaining a subjective quality value and an original code rate of a target video file; determining, based on a preset correspondence relationship between subjective quality values and maximum code rate variations, a maximum code rate variation of the target video file according to the subjective quality value of the target video file; and performing a code rate reduction process on the target video file according to the original code rate and the maximum code rate variation.

The invention relates to the technical field of video coding, in particular to a monitoring scene video coding code rate control method and system suitable for hardware implementation, and the method comprises the following steps: in a low-delay P-frame coding mode, initializing the state of a buffer area, and calculating the average target code rate of each frame and the QP of the first frame according to the target code rate, frame rate and resolution input by a user; dynamically adjusting a GOP-level target code rate, a GOP-level QP, a frame-level target code rate and a frame-level QP based on a buffer area state, a buffer area size, an average target code rate of each frame, a first frame QP and preorder coding information; and after one frame is coded, further adjusting the frame-level target code rate based on the motion degree of the current frame, further updating the state of the buffer area, and adjusting the length of the GOP. According to the method, the code rate control with low calculation complexity can be realized, the subjective quality stability of coding is ensured, the intelligent code rate adjustment is carried out by using the motion information, and the compression efficiency of the encoder is further improved on the premise of ensuring the subjective quality.

In some embodiments, a method sends information for a sample of content, a first question, and a second question for output on an interface. The first question receives, from a subject, a first response for a sample level rating for an artifact that is perceived to be visible in the sample and the second question receives, from the subject, a second response for regions in the sample that are perceived to contain the artifact. The method receives the first response for the sample level rating and the second response for regions that are perceived to contain the artifact. First responses are combined from multiple subjects to generate an opinion score for the sample and second responses are combined to generate region scores for regions. The method generates training data from the opinion score and the region scores to train a process to perform an action based on the artifacts.

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.

The application provides a compression effect perception and evaluation method and system in high-efficiency video coding, a deep compression effect perception model combining attention learning and data reweighting is constructed, positive and negative samples of each type of compression effect are input into the network, and the perception model of the corresponding compression effect is obtained through training; based on the compression effect perception model obtained through training, and considering the influence of visual saliency and visual fovea effect, the video compression effect intensity value is calculated; through subjective test, the average subjective score of the video is calculated to establish the mapping relationship between the video compression effect intensity value and the average subjective quality score of the video, and video quality evaluation oriented to compression effect perception is realized.

The invention relates to the technical field of video quality evaluation, in particular to a subjective quality evaluation method for NeRF scene reconstruction, and the method comprises the steps: S1, selecting a real multi-view image sequence from a plurality of open real scenes; s2, performing multi-level illumination distortion on the real multi-view image sequence of each open real scene; s3, aiming at each open real scene, constructing a plurality of track viewpoint paths for simulating a real watching behavior; s4, reconstructing an open real scene based on the distorted image sequence through a plurality of NeRF models, and rendering a plurality of track viewpoint paths in the reconstructed scene to generate a corresponding pre-rendered video sequence; s5, constructing a subjective evaluation environment, and organizing subjects to perform subjective quality scoring on each pre-rendered video sequence; and S6, cleaning and screening the subjective quality score of each pre-rendered video sequence, and constructing a subjective quality evaluation data set. The data set constructed by the method has the advantages of high authenticity, comprehensive distortion types, rich evaluation dimensions and the like.