Abstract: The present disclosure relates to a method for deriving constructed affine merge candidates. The method includes encoding, by an encoder, a regular merge flag for a coding unit (CU) that is coded as merge mode and merge related modes; in response to determining that the regular merge flag is encoded as one, indicating that a regular merge mode or merge mode with motion vector differences (MMVD) is used by the CU, constructing, by the encoder, a motion vector merge list for the CU and using regular merge index to indicate which candidate is used; and in response to determining that the regular merge flag is encoded as zero, indicating the regular merge mode is not used by the CU, and further encoding, by the encoder, mode flags to indicate associated merge related modes are used in response to determining that a mode flag's constraints are met.

Abstract: An electronic apparatus performs a method of decoding video data. The method includes: receiving, from the video signal, a picture frame that includes a first component and a second component; determining a classifier for the second component from a set of one or more samples of the first component associated with a respective sample of the second component; determining whether to modify a value of the respective sample of the second component of a current block of the picture frame within a virtual boundary according to the classifier; in response to the determination to modify the value of the respective sample of the second component of the current block according to the classifier, determining a sample offset for the respective sample of the second component according to the classifier; and modifying the value of the respective sample of the second component based on the determined sample offset.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video encoding. An encoder may receive a video input. The encoder may obtain a quantization parameter based on the video input. The encoder may derive a rice parameter based on at least one predefined threshold, a coding bit-depth, and the quantization parameter. The encoder may entropy encode a video bitstream based on the rice parameter.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video decoding. A decoder may receive a video stream. The decoder may receive a control flag in a slice header level. The decoder may receive at least one syntax element in the slice header level. The decoder may entropy decode the video bitstream based on the control flag and the at least one syntax element.

Abstract: The present disclosure provides a method for splicing an audio file and a computer device. The method includes: an intelligent terminal determines a target insertion location in response to an insertion operation, obtains an audio clip corresponding to the insertion operation, and then determines a playback duration corresponding to the audio clip, furthermore, based on the target insertion location and the playback duration, inserts a playback switching point to a source audio file corresponding to the source multimedia file, where the playback switching point is configured to switch playback between the source audio file and the audio clip during playing the source multimedia file.

Abstract: A method for controlling bit-width for bi-directional optical flow (BDOF) for video coding includes acquiring, for a current picture, a first reference picture and a second reference picture, the second reference picture being different than the first reference picture, where the first reference picture is displayed before the current picture and the second reference picture is displayed after the current picture. A motion refinement of a coding unit (CU) is calculated by minimizing a difference between a first prediction L0 and a second prediction L1. First gradient values for the first prediction L0 and second gradient values for the second prediction L1 are calculated. A final bi-prediction of the CU is calculated. Also disclosed are an associated apparatus and an associated non-transitory computer readable storage medium.

Abstract: The present disclosure relates to a method for deriving constructed affine merge candidates. The method includes acquiring one or more control point sets from a decoder. The decoder determines whether a reference index of each control point for the control point set index within the control point set associated with a reference index pointing into a reference picture in a first reference picture list is greater than or equal to zero and each is equal to each other. The decoder also determines whether a reference index of each control point for the control point set index within the control point set associated with a reference index pointing into a reference picture in a second reference picture list is greater than or equal to zero and each is equal to each other. The decoder determines that an affine motion model is available based on the determination result.

Abstract: An electronic apparatus performs a method of decoding video data. The method comprises: receiving, from the video signal, a picture frame that includes a first component and a second component; determining a classifier for the second component from a set of samples of the first component associated with a respective sample of the second component; when the set of samples of the first component associated with the respective sample of the second component is divided by a virtual boundary, copying one or more central subsets of the set of samples of the first component to a first boundary position and a second boundary position of the set of samples of the first component; determining a sample offset for the respective sample of the second component according to the classifier; and modifying the value of the respective sample of the second component based on the determined sample offset.

Abstract: The present disclosure relate to allocating electronic resources. In some arrangements, a server configures allocable electronic resources for a live streaming room in response to receiving a first configuration request from a first client. The first configuration request is configured to indicate a first configuration operation performed by an anchor to the live streaming room, and the allocable electronic resources are associated to a target commodity corresponding to the live streaming room. The server acquires an allocation request sent by a second client, wherein the allocation request is triggered by an interactive operation of an audience of the second client in the live streaming room. The server allocates an electronic resource from the allocable electronic resources to the audience of the second client, in response to the allocation request, wherein the allocated electronic resource is used by the audience for completing an order operation about the target commodity.

Abstract: The present disclosure relates to a method for deriving constructed affine merge candidates. The method includes acquiring one or more control point sets from a decoder. The decoder determines whether a reference index of each control point for the control point set index within the control point set associated with a reference index pointing into a reference picture in a first reference picture list is greater than or equal to zero and each is equal to each other. The decoder also determines whether a reference index of each control point for the control point set index within the control point set associated with a reference index pointing into a reference picture in a second reference picture list is greater than or equal to zero and each is equal to each other. The decoder determines that an affine motion model is available based on the determination result.

Abstract: Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for encoding video. An encoder may obtain a first motion vector (MV) associated with a video block obtained from the video. The encoder may obtain a first prediction signal of the video block using the first MV. The encoder may identify a target MV by applying a gradient-based motion refinement algorithm in a recursive manner using the first prediction signal and the first MV. The encoder may obtain a second prediction signal of the video block based on the target MV.

Abstract: A method and an apparatus for hybrid training of neural networks for video coding are provided. The method includes: obtaining, in an offline training stage, an offline trained network by training a first neural network offline using a plurality of first data sets; refining, in an online training stage, a plurality of neural network layers using a plurality of second data sets, wherein the plurality of neural network layers comprise at least one neural network layer in the offline trained network or in a second neural network connected to the offline trained network.

Abstract: The present disclosure provides a method and device for processing a video. The method includes: determining a special effect video frame of a video, where a target feature area of the special effect video frame includes a preset special effect map; and modifying a display effect of the special effect map upon determining that a shielded area exists in the target feature area.

Abstract: The present disclosure relates to a method, device and terminal for displaying content, and a medium, used for completely displaying content entered by a user when a content including many characters is entered in an input box, so as to avoid tedious operation when the user views the entered content which is not displayed. The method for displaying content of the present disclosure includes: receiving target content entered in a first display region; calculating an occupancy rate based on the target content and the first display region in real time; reducing a font size of the target content in response to that the occupancy rate satisfies a first condition; generating a second display region for displaying the target content in response to that the occupancy rate satisfies a second condition.

Abstract: Disclosed is a method for processing a voice signal applicable to a terminal. The method can include: receiving a first voice signal; sending the first voice signal to a server in response to determining that the first voice signal includes a preset wake-up word; and receiving a second voice signal in response to receiving an acknowledgement result from the server, and responding to an interaction instruction corresponding to the second voice signal in a live streaming room.

Abstract: A method, apparatus, and a non-transitory computer-readable storage medium for decoding a video signal are provided. A decoder may receive, through a bitstream, arranged syntax elements in sequence parameter set (SPS) level. The arranged syntax elements in the SPS level are arranged so that functions of related syntax elements are grouped in versatile video coding (VVC) syntax at a coding level. The decoder may receive, through the bitstream and in response to multiple syntax elements satisfy a predefined condition, a second syntax element immediately after the multiple syntax elements. The decoder may perform, through the bitstream, a related syntax element function to video data from the bitstream in accordance with the multiple syntax elements and the second syntax element.

Abstract: A method of constructing a uni-directional motion vector merge list for triangular shape processing units (PUs) in the triangle prediction mode of video coding standards, such as the current Versatile Video Coding (VVC), is performed at a computing device. The computing device constructs the motion vector merge list for the coding unit (CU) containing the triangular shape PUs, and then constructs the uni-directional motion vector merge list for the triangular shape PUs based on the motion vector merge list for the CU.

Abstract: Provided is a method for processing images. The method can include: acquiring a target face image, and performing face key point detection on the target face image to acquire a face key point detection result; determining a face visible area which is not subject to an occluder and a face invisible area which is subject to the occluder in the target face image; and acquiring a target fusion image by fusing a virtual special effect and a face part matched in the target face image based on the face key point detection result, the face visible area and the face invisible area.