Samsung Electronics Co., Ltd.

Igor Mironovich Kovliga

Petr Pohl

Byung Tae Oh

Valery Valerievich Anisimovskiy

Alexey Mikhailovich Fartukov

Kristina Olegovna Rakova

Roman Arzumanyan

Alexey Mikhailovich Gruzdev

Michael Naumovich Mishourovsky

Sergei Dmitrievich Ilichev

A method for converting a frame rate of an input video is provided. The method includes performing a motion estimation by generating at least one motion field for at least one pair of frames of the input video, wherein the at least one motion field includes a set of motion vectors for each block of a first reference frame of the input video, the set of motion vectors indicating to a second reference frame of the input video, and preparing first data for a predetermined interpolation phase for each block of an interpolated frame, where the first data include at least one parameter for a pre-trained occlusion processing (OcC) convolutional neural network (CNN), the at least one parameter being obtained based on the at least one motion field.

Occlusion processing for frame rate conversion using deep learning

A motion estimation method for video data including frames and an apparatus therefor are provided. The motion estimation method includes determining whether a current frame unit for which motion estimation is to be performed corresponds to a double block, when the current frame unit corresponds to a double block, acquiring a candidate vector set corresponding to a first single block included in the double block, as a candidate vector set of the double block, individually calculating a confidence function value of each candidate vector included in the candidate vector set of the double block, for the first single block and a second single block included in the double block, and acquiring an estimated motion vector of the first single block and an estimated motion vector of the second single block, based on the calculated confidence function value of each candidate vector.

Motion estimation method and apparatus for plurality of frames

A technology for processing digital signals is provided, and more particularly, a method of encoding or decoding a multiview video sequence based on adaptive compensation of local illumination mismatches between frames of the multiview video sequence is provided. The method may be performed using a correction parameter used to correct a change in illumination. The correction parameter may be computed based on at least one of a first estimate estDi,j, a second estimate estRi,j, a value Ri,j of a pixel of a reference block, and values TDk and TRk of restored pixels.

Method of encoding and decoding multiview video sequence based on adaptive compensation of local illumination mismatch in inter-frame prediction

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Moscow, Russia

Igor Mironovich Kovliga