Techniques and systems are provided for processing 360-degree video data. For example, a picture of the 360-degree video data can be obtained. The picture can include samples projected from a three-dimensional format to a two-dimensional format. A weight value can be determined for at least one sample of the picture. The weight value can be determined based at least on a position of the at least one sample in the picture. At least one adaptive parameter can be determined for the at least one sample using the determined weight value. The at least one adaptive parameter can include one or more of an adaptive weighted distortion, an adaptive weighted quantization parameter value, or an adaptive weighted lambda value. A cost associated with coding the at least one sample using one or more coding modes can be determined using the at least one adaptive parameter of the at least one sample.

Techniques and systems are provided for processing 360-degree video data. For example, a picture of the 360-degree video data can be obtained. The picture can include samples projected from a three-dimensional format to a two-dimensional format. A weight value can be determined for at least one sample of the picture. The weight value can be determined based at least on a position of the at least one sample in the picture. At least one adaptive parameter can be determined for the at least one sample using the determined weight value. The at least one adaptive parameter can include one or more of an adaptive weighted distortion, an adaptive weighted quantization parameter value, or an adaptive weighted lambda value. A cost associated with coding the at least one sample using one or more coding modes can be determined using the at least one adaptive parameter of the at least one sample.

An image decoding method according to the present document includes obtaining motion prediction information for a current block from a bitstream, generating an affine MVP candidate list for the current block, deriving CPMVPs for CPs of the current block based on the affine MVP candidate list, deriving CPMVDs for the CPs of the current block based on the motion prediction information, deriving CPMVs for the CPs of the current block based on the CPMVPs and the CPMVDs, and deriving prediction samples for the current block based on the CPMVs.

Provided are an inter prediction method and a motion compensation method. The inter prediction method includes: performing inter prediction on a current image by using a long-term reference image stored in a decoded picture buffer; determining residual data and a motion vector of the current image generated via the inter prediction; and determining least significant bit (LSB) information as a long-term reference index indicating the long-term reference image by dividing picture order count (POC) information of the long-term reference image into most significant bit (MSB) information and the LSB information.

Provided are an inter prediction method and a motion compensation method. The inter prediction method includes: performing inter prediction on a current image by using a long-term reference image stored in a decoded picture buffer; determining residual data and a motion vector of the current image generated via the inter prediction; and determining least significant bit (LSB) information as a long-term reference index indicating the long-term reference image by dividing picture order count (POC) information of the long-term reference image into most significant bit (MSB) information and the LSB information.

Means for controlling the computational complexity related to video encoding that includes a dynamic rate distortion cost error threshold and constrains the encoding complexity to a given complexity target. The solution is selective and provides fast convergence while incurring only a limited loss in rate distortion performance.

Means for controlling the computational complexity related to video encoding that includes a dynamic rate distortion cost error threshold and constrains the encoding complexity to a given complexity target. The solution is selective and provides fast convergence while incurring only a limited loss in rate distortion performance.

An apparatus for block-wise decoding a picture from a data stream and/or encoding a picture into a data stream, the apparatus supporting at least one intra-prediction mode according to which the intra-prediction signal for a block of a predetermined size of the picture is determined by applying a first template of samples which neighbours the current block onto a neural network. The apparatus may be configured, for a current block differing from the predetermined size, to: resample a second template of samples neighboring the current block, so as to conform with the first template so as to obtain a resampled template; apply the resampled template of samples onto the neural network so as to obtain a preliminary intra-prediction signal; and resample the preliminary intra-prediction signal so as to conform with the current block so as to obtain the intra-prediction signal for the current block.

The disclosure provides a method and an image processing device for video bit-rate control. The method includes the following steps. A designated distortion value and a maximum bit-rate value are received. A Lagrange multiplier and a quantization parameter (QP) of a current frame among a sequence of video frames are estimated according to the designated distortion value and the maximum bit-rate value. The current frame is encoded according to the estimated Lagrange multiplier and the estimated QP.

The disclosure provides a method and an image processing device for video bit-rate control. The method includes the following steps. A designated distortion value and a maximum bit-rate value are received. A Lagrange multiplier and a quantization parameter (QP) of a current frame among a sequence of video frames are estimated according to the designated distortion value and the maximum bit-rate value. The current frame is encoded according to the estimated Lagrange multiplier and the estimated QP.