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.

An apparatus for processing a video signal and method thereof are disclosed. The present invention includes receiving prediction mode information, interpolating information and a residual of a current block, reconstructing an interpolating pixel using the interpolating information and a neighbor block, and reconstructing the current block using the interpolating pixel, the prediction mode information and the residual, wherein the interpolating information is generated based on a location of the current block. According to an apparatus and method for processing a video signal, high reconstruction rate can be obtained by improving the related art method having limited intra prediction modes available for a current block located on a boundary area of a picture in encoding in a manner of reconstructing and using an interpolating pixel based on interpolating information.

An apparatus for processing a video signal and method thereof are disclosed. The present invention includes receiving prediction mode information, interpolating information and a residual of a current block, reconstructing an interpolating pixel using the interpolating information and a neighbor block, and reconstructing the current block using the interpolating pixel, the prediction mode information and the residual, wherein the interpolating information is generated based on a location of the current block. According to an apparatus and method for processing a video signal, high reconstruction rate can be obtained by improving the related art method having limited intra prediction modes available for a current block located on a boundary area of a picture in encoding in a manner of reconstructing and using an interpolating pixel based on interpolating information.

Systems and methods are described herein for processing video. An encoder implementing the systems and methods described herein may receive video data comprising a plurality of frames and may partition each frame of the plurality of frames into a plurality of coding units. The encoder may then partition a coding unit into two or more prediction units. The encoder may determine, based on one or more coding parameters, a target bit rate, and characteristics of a human visual system (HVS), a coding mode for each of the two or more prediction units to minimize distortion in the encoded bitstream. The encoder may then determine a residual signal comprising a difference between each of the two or more prediction units and each of one or more corresponding prediction areas in a previously encoded frame and then generate an encoded bitstream comprising the residual signal.

Disclosed is a 3D video motion estimating apparatus and method. The 3D video motion estimating apparatus may enable a motion vector of a color image and a motion vector of a depth image refer to each other, thereby increasing a compression rate.

Disclosed is a 3D video motion estimating apparatus and method. The 3D video motion estimating apparatus may enable a motion vector of a color image and a motion vector of a depth image refer to each other, thereby increasing a compression rate.

A method and apparatus for variable rate compression with a conditional autoencoder is herein provided. According to one embodiment, a method includes training a conditional autoencoder using a Lagrange multiplier and training a neural network that includes the conditional autoencoder with mixed quantization bin sizes.

A method and apparatus for variable rate compression with a conditional autoencoder is herein provided. According to one embodiment, a method includes training a conditional autoencoder using a Lagrange multiplier and training a neural network that includes the conditional autoencoder with mixed quantization bin sizes.

A method of perceptual video coding based on face detection is provided. The method includes calculating a bit allocation scheme for coding a light field video based on a saliency map of the face, calculating an LCU level Lagrange multiplier for coding a light field video based on a saliency map of the face and calculating an LCU level quantization parameter for coding a light field video based on a saliency map of the face.

A method and an apparatus for encoding a picture are disclosed. A first rate-distortion cost is determined (42) for a current block of said picture when said current block is not split into subblocks, from a distortion computed for each subblock of said current block, said distortion being scaled by an inverse of a lagrangian parameter determined (40) according to a quantization parameter assigned to said subblock. It is then determined (44) whether said current block is split or not according at least to the determined first rate-distortion cost, and the current block is encoded (45) according to the result of determining whether a current block is split or not into subblocks.