Abstract:
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.
Abstract:
Provided are an image compressing method including determining a compressed image by performing downsampling using a deep neural network (DNN) on an image; determining a prediction signal by performing prediction based on the compressed image; determining a residual signal based on the compressed image and the prediction signal; and generating a bitstream comprising information about the residual signal, wherein the DNN has a network structure that is predetermined according to training of a downsampling process using information generated in an upsampling process, and an image compressing device for performing the image compressing method. Also, provided are an image reconstructing method of reconstructing a compressed image by using a DNN for upsampling, the compressed image having been compressed by the image compressing method, and an image reconstructing device for performing the image reconstructing method.
Abstract:
An image encoding apparatus includes an annexed data obtainer configured to obtain annexed data that is annexed to image data and that is to be transmitted along with the image data; an annexed image data obtainer configured to convert the obtained annexed data and obtain annexed image data having a same format as that of the image data; and an encoder configured to obtain transmission image data based on the annexed image data and the image data and encode the transmission image data according to a first codec.
Abstract:
Provided are methods and apparatuses for encoding and decoding an image. Method of encoding includes: determining a maximum size of a buffer to decode each image frame by a decoder, a number of image frames to be reordered, and latency information of an image frame having a largest difference between an encoding order and a display order from among image frames that form an image sequence, based on an encoding order the image frames that form the image sequence, an encoding order of reference frames referred to by the image frames, a display order of the image frames, and a display order of the reference frames; and adding, to a mandatory sequence parameter set, a first syntax indicating the maximum size of the buffer, a second syntax indicating the number of image frames to be reordered, and a third syntax indicating the latency information.
Abstract:
A method of transmitting an image is performed by a first device and includes obtaining an image including an object, obtaining, based on a preset setting condition of the first device, contour information defining a contour of the object and color information about a color of the object, and transmitting the contour information and the color information to a second device.
Abstract:
Provided are a method and apparatus for determining quantization parameter for a quantization and an inverse quantization performed during a video encoding and decoding. The quantization parameter determination method includes determining transformation units of at least one size included in a coding unit; determining a default quantization parameter of the coding unit; reducing a quantization parameter of a transformation unit that is greater than a predetermined size, to be less than the default quantization parameter; and increasing a quantization parameter of a transformation unit that is less than a predetermined size, to be greater than the default quantization parameter.
Abstract:
Provided are a method and apparatus for encoding or decoding a 360-degree image. An image decoding method and apparatus according to an embodiment include: obtaining image data from a bitstream; decoding a first region of a projection image corresponding to a non-clipping region of a 360-degree image from the image data; obtaining information about a clipping region of the 360-degree image from the bitstream; determining a second region of the projection image, based on the information about the clipping region; and converting the projection image including the first region and the second region into the 360-degree image.
Abstract:
Accordingly embodiments herein disclose a method for producing 360 degree image content on a rectangular projection. The method includes detecting whether at least one discontinuous boundary is present in the 360-degree image content, wherein the at least one discontinuous boundary is detected using the packing of one or more projection segments. Further, the method includes obtaining one or more reconstructed blocks from the 360-degree image content. The reconstructed blocks are generated from the 360 degree image content. Further, the method includes performing one of enabling at least one in-loop filtering function on the one or more reconstructed blocks of the 360 degree image content when the at least one of image content discontinuous boundary is not present and disabling at least one in-loop filtering function on the one or more reconstructed blocks of the 360 degree image content located around the at least one discontinuous boundary.
Abstract:
Provided is a prediction image generating technology using a deep neural network (DNN). Provided is an image decoding method including: receiving a bitstream of an encoded image; determining at least one block split from the encoded image; determining neighboring blocks for predicting a current block among the at least one block; generating prediction data of the current block by applying the neighboring blocks to a DNN learning model configured to predict a block of an image by using at least one computer; extracting residual data of the current block from the bitstream; and reconstructing the current block by using the prediction data and the residual data.
Abstract:
Provided are a method and apparatus for encoding or decoding a 360-degree image. According to an image decoding method and apparatus according to an embodiment, an original 360-degree image is reconstructed by acquiring image data from a bitstream, decoding a projection image of a 360-degree image from the image data, converting the projection image into the 360-degree image, acquiring rotation information of the 360-degree image from the bitstream, and rotating the 360-degree image based on the rotation information.