Nokia Technologies Oy

Nokia Corporation

Core Wireless Licensing S.a.r.l.

Conversant Wireless Licensing S.a R.l.

Marta Karczewicz

Antti Hallapuro

Jani Lainema

Kemal Ugur

Kim Simelius

Kemai Ugur

Miska Matias Hannuksela

Emre Baris Aksu

Francesco Cricri

Dmytro Rusanovskyy

Caglar Aytekin

Ramin Ghaznavi Youvalari

Martz Karczewicz

A system and method for improving the coding efficiency of motion vector information in video coding. According to various embodiments, a list of motion vector predictor candidates is arranged according to predefined rules. Each motion vector also has a reference index associated with it. One of the motion vector candidates is then selected as a predictor based on predefined rules, or the selection is explicitly signaled in the bitstream. The reference index associated with the selected motion vector is used as a reference index for the current block. The reference index is predicted along with the motion vector. Such embodiments can improve the compression efficiency of modern video codecs.

Combined motion vector and reference index prediction for video coding

Apparatuses, methods and computer programs are provided for utilizing motion prediction in video coding. A block of pixels of a video representation encoded in a bitstream is read, and a type of the block is determined. If the determining indicates that the block is a block predicted by using two or more reference blocks, a first reference pixel location in a first reference block is determined and a second reference pixel location in a second reference block is determined. The first reference pixel location is used to obtain a first prediction. The first prediction has a second precision, which is higher than the first precision. The second reference pixel location is used to obtain a second prediction, which also has the second precision. The first prediction and the second prediction are combined to obtain a combined prediction; and the precision of the combined prediction is reduced to the first precision.

Motion prediction in video coding

Video data is obtained or received. At least a current frame or previous frame(s) of the obtained or received video data are provided to an input of a neural network. A predicted output is generated at an output of the neural network. The predicted output includes at least one of predicted future frame(s) of the video data and predicted properties of future frame(s) of the video data. Processing decision(s) are determined based, at least in part, on the predicted output. The current frame of the video data is processed at least partially according to the processing decision(s).

Future video prediction for coding and streaming of video

An apparatus for providing motion estimation for video encoding includes a selection element and a processing element. The selection element is configured to select a subset including less than all of candidate pixel locations from among a plurality of candidate pixel locations used for motion vector determination based on a relationship between a best candidate pixel location of a first level of accuracy and a best candidate pixel location of a second level of accuracy. The processing element is configured to process an input video sequence to determine a motion vector at the first level of accuracy, to refine the motion vector at the second level of accuracy, and to determine the motion vector at a third level of accuracy using only the subset of candidate pixel locations.

Method, apparatus, and computer program product for providing motion estimator for video encoding

There is disclosed apparatuses, methods and computer programs for utilizing motion prediction in video coding. A block of pixels of a video representation encoded in a bitstream is read, and a type of the block is determined. If the determining indicates that the block is a block predicted by using two or more reference blocks, a first reference pixel location in a first reference block is determined and a second reference pixel location in a second reference block is determined. The first reference pixel location is used to obtain a first prediction. Said first prediction has a second precision, which is higher than the first precision. The second reference pixel location is used to obtain a second prediction, which also has the second precision. The first prediction and the second prediction are combined to obtain a combined prediction; and the precision of the combined prediction is reduced to the first precision.

An approximation of a DCT and a quantization are to be applied subsequently to digital data for compression of this digital data. In order to improve the transform, a predetermined transform matrix is simplified to require less operations when applied to digital data. In addition, elements of the simplified transform matrix constituting irrational numbers are approximated by rational numbers. These measures are compensated by extending a predetermined quantization to include the operations which were removed in the simplification of the predetermined transform matrix. The included operations are further adjusted to compensate for the approximation of elements of the simplified transform matrix by rational numbers. If the simplified transform matrix and the extended quantization are used as basis for implementation, a fast transform with a good resulting quality can be achieved. An approximation of an IDCT employed in decompression of compressed digital data can be simplified correspondingly.

Implementation of a transform and of a subsequent quantization

There is disclosed apparatuses, methods and computer programs for utilizing motion prediction in video coding. Coding type of a block of pixels of a video representation encoded in a bitstream is read, where values of said pixels having a first precision. If the type of the block is a block predicted by using two or more reference blocks, a first reference pixel location in a first reference block is determined and a second reference pixel location in a second reference block is determined. The first reference pixel location is used to obtain a first prediction having a second precision, which is higher than the first precision. The second reference pixel location is used to obtain a second prediction, also having the second precision. The first prediction and the second prediction are combined to obtain a combined prediction having the first precision.

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Tampere, Finland

Antti Hallapuro