Abstract: A method and a device for encoding or decoding video data. It concerns more particularly the encoding according to a particular encoding mode using a decoder side motion vector derivation mode referenced as frame-rate up conversion mode or FRUC mode. In FRUC merge mode, the derivation process comprises a refinement step to increase the accuracy of the obtained motion vector at the sub-pixel level. This process involves the evaluation of different sub-pixel position around the obtained motion vector according to different patterns. The present invention has been devised to improve the known refinement step. It aims at improving the coding efficiency by considering the characteristics of the matching type and/or the signal inside the templates.

Abstract: The disclosure regards cross-component prediction and methods for deriving of a linear model for obtaining a first-component sample for a first-component block from an associated reconstructed second-component sample of a second-component block in the same frame, the method comprising determining the parameters of a linear equation representing a straight line passing through two points, each point being defined by two variables, the first variable corresponding to a second-component sample value, the second variable corresponding to a first-component sample value, based on reconstructed samples of both the first-component and the second-component; and deriving the linear model defined by the straight line parameters.

Abstract: A method of encoding a motion information predictor index for an Affine Merge mode, comprising: generating a list of motion information predictor candidates; selecting one of the motion information predictor candidates in the list as an Affine Merge mode predictor; and generating a motion information predictor index for the selected motion information predictor candidate using CABAC coding, one or more bits of the motion information predictor index being bypass CABAC coded.

Abstract: A method of controlling an Adaptive Loop Filter for one or more image portions of an image, the method comprising controlling filtering on a first sample of an image portion based on one or more neighbouring sample value(s) of the first sample value, wherein the controlling uses a nonlinear function which has one or more variables based on one or more of the neighbouring sample value(s).

Abstract: A method of controlling an Adaptive Loop Filter for one or more image portions of an image, the method comprising controlling filtering on a first sample of an image portion based on one or more neighbouring sample value(s) of the first sample value, wherein the controlling uses a nonlinear function which has one or more variables based on one or more of the neighbouring sample value(s).

Abstract: The disclosure regards cross-component prediction and methods for deriving of a linear model for obtaining a first-component sample for a first-component block from an associated reconstructed second-component sample of a second-component block in the same frame, the method comprising determining the parameters of a linear equation representing a straight line passing through two points, each point being defined by two variables, the first variable corresponding to a second-component sample value, the second variable corresponding to a first-component sample value, based on reconstructed samples of both the first-component and the second-component; and deriving the linear model defined by the straight line parameters; wherein said determining the parameters uses integer arithmetic.

Abstract: A method of controlling an Adaptive Loop Filter for one or more image portions of an image, the method comprising controlling filtering on a first sample of an image portion based on one or more neighbouring sample value(s) of the first sample value, wherein the controlling uses a nonlinear function which has one or more variables based on one or more of the neighbouring sample value(s).

Abstract: A method of controlling an Adaptive Loop Filter for one or more image portions of an image, the method comprising controlling filtering on a first sample of an image portion based on one or more neighbouring sample value(s) of the first sample value, wherein the controlling uses a nonlinear function which has one or more variables based on one or more of the neighbouring sample value(s).

Abstract: A method of encoding a motion vector predictor index, in particular a Merge index, comprises generating a list of motion vector predictor candidates, in particular merge candidates. The list includes an ATMVP candidate. One of the motion vector predictor candidates in the list is selected. A motion vector predictor index for the selected motion vector predictor candidate is generated using CABAC coding. One or more bits of the motion vector predictor index are bypass CABAC coded. For example, only the first bit of the motion vector predictor index is CABAC coded using a single context.

Abstract: A method of encoding a motion vector predictor index, in particular a Merge index, comprises generating a list of motion vector predictor candidates, in particular merge candidates. The list includes an ATMVP candidate. One of the motion vector predictor candidates in the list is selected. A motion vector predictor index for the selected motion vector predictor candidate is generated using CABAC coding. One or more bits of the motion vector predictor index are bypass CABAC coded. For example, only the first bit of the motion vector predictor index is CABAC coded using a single context.

Abstract: A method of controlling an Adaptive Loop Filter for one or more image portions of an image, the method comprising controlling filtering on a first sample of an image portion based on one or more neighbouring sample value(s) of the first sample value, wherein the controlling uses a nonlinear function which has one or more variables based on one or more of the neighbouring sample value(s).

Abstract: The invention relates to the encoding or decoding of at least one portion of an image by predicting the at least one portion using at least one predictor, the at least one predictor being determined as a function of at least one reference image portion and as a function of values of a plurality of items of motion information. After having obtained a value of a first item of the plurality of items, a value of a second item is evaluated as a function of the obtained value of the first item, the second item being an item of the plurality of items and being distinct from the first item. Next, the at least one predictor is determined as a function of the at least one reference image portion and as a function of the first and second items.

Abstract: A method of encoding a motion vector predictor index, in particular a Merge index, comprises generating a list of motion vector predictor candidates, in particular merge candidates. The list includes an ATMVP candidate. One of the motion vector predictor candidates in the list is selected. A motion vector predictor index for the selected motion vector predictor candidate is generated using CABAC coding. One or more bits of the motion vector predictor index are bypass CABAC coded. For example, only the first bit of the motion vector predictor index is CABAC coded using a single context.

Abstract: The present disclosure concerns a method and a device for encoding or decoding video data. It concerns more particularly the encoding according to a particular encoding mode using a decoder side motion vector derivation mode referenced as frame-rate up conversion mode or FRUC mode. It concerns encoding and decoding improvement which reduce the need for memory accesses when using an encoding mode where the motion information is predicted using a decoder side motion vector derivation method.

Abstract: A method of encoding a motion vector predictor index, in particular a Merge index, comprises generating a list of motion vector predictor candidates, in particular merge candidates. The list includes an ATMVP candidate. One of the motion vector predictor candidates in the list is selected. A motion vector predictor index for the selected motion vector predictor candidate is generated using CABAC coding. One or more bits of the motion vector predictor index are bypass CABAC coded. For example, only the first bit of the motion vector predictor index is CABAC coded using a single context.

Abstract: The disclosure regards cross-component prediction and methods for deriving of a linear model for obtaining a first-component sample for a first-component block from an associated reconstructed second-component sample of a second-component block in the same frame, the method comprising determining the parameters of a linear equation representing a straight line passing through two points, each point being defined by two variables, the first variable corresponding to a second-component sample value, the second variable corresponding to a first-component sample value, based on reconstructed samples of both the first-component and the second-component; and deriving the linear model defined by the straight line parameters; wherein said determining the parameters uses integer arithmetic.

Abstract: A method of encoding a motion vector predictor index, in particular a Merge index, comprises generating a list of motion vector predictor candidates, in particular merge candidates. The list includes an ATMVP candidate. One of the motion vector predictor candidates in the list is selected. A motion vector predictor index for the selected motion vector predictor candidate is generated using CABAC coding. One or more bits of the motion vector predictor index are bypass CABAC coded. For example, only the first bit of the motion vector predictor index is CABAC coded using a single context.

Abstract: The present disclosure concerns a method and a device for encoding or decoding video data. It concerns more particularly the encoding according to a particular encoding mode using a decoder side motion vector derivation mode referenced as frame-rate up conversion mode or FRUC mode. It concerns encoding and decoding improvement which reduce the need for memory accesses when using an encoding mode where the motion information is predicted using a decoder side motion vector derivation method.

Abstract: The present disclosure concerns a method and a device for encoding or decoding video data. It concerns more particularly the encoding according to a particular encoding mode using a decoder side motion vector derivation mode referenced as frame-rate up conversion mode or FRUC mode. It concerns encoding and decoding improvement which reduce the need for memory accesses when using an encoding mode where the motion information is predicted using a decoder side motion vector derivation method.

Abstract: There is described a method of decoding video data from a bitstream. The bitstream comprising video data corresponding to one or more slices. The decoding comprises parsing the syntax elements, and not permitting use of a subpicture and/or parsing of subpicture information in combination with at least one syntax element that indicates that a picture to be decoded contains only one slice. The bitstream is decoded using said syntax elements.