Abstract: Provided is an image processing method including: acquiring images captured in at least two directions; generating a projection image by projecting the images onto a polyhedron; moving a location of at least one pixel among pixels in the projection image to reshape the projection image into a rectangular image; and processing the rectangular image.

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: 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 is a video encoding method including obtaining a projected image by projecting a three-dimensional image onto a polyhedron; generating a rectangular image including a first pixel region and a second pixel region, the first pixel region corresponding to the projected image; selecting a block including at least one pixel included in the first pixel region and at least one pixel included in the second pixel region, the block being from among blocks split from the rectangular image and each block having a predetermined size; substituting a pixel value of the at least one pixel included in the second pixel region included in the selected block with a predetermined value; and encoding the selected block.

Abstract: Provided is a method for adaptively compressing image data. A refresh rate and a compression rate of the image data are determined based on motion information of the image data, and the image data are compressed based on the determined refresh rate and compression rate.

Abstract: An image encoding method includes: obtaining imaging information determined during a process of capturing an image; generating metadata for determining a compression strength of the image based on the imaging information; determining the compression strength of the image based on the metadata; and encoding the image based on the determined compression strength.

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: 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 is a method of encoding an image, the method including: determining a subjective quality of the image when the image is compressed; determining at least one degree of compression that changes the subjective quality and is from among degrees of compression indicating how much the image is compressed; and encoding the image by compressing a residual signal of the image, based on compression information according to the determined degree of compression, wherein the subjective quality is determined for each frame by using a Deep Neural Network (DNN). Provided are an image decoding method and an image decoding apparatus for performing the image decoding method for decoding an image by using information encoded according to an image encoding method.

Abstract: Provided is a method of configuring a home screen. The method includes configuring, at a first device, a home screen of a second device, and transmitting, from the first device, information about the home screen to the second device, wherein the home screen includes a graphical user interface (GUI) to be displayed by the second device.

Abstract: Provided is in-loop filtering technology using a trained deep neural network (DNN) filter model. An image decoding method according to an embodiment includes receiving a bitstream of an encoded image, generating reconstructed data by reconstructing the encoded image, obtaining information about a content type of the encoded image from the bitstream, determining a deep neural network (DNN) filter model trained to perform in-loop filtering by using at least one computer, based on the information about the content type, and performing the in-loop filtering by applying the reconstructed data to the determined DNN filter model.

Abstract: Provided is an image processing method including: generating an omnidirectional spherical image; determining information regarding a director's view that indicates some regions of the omnidirectional spherical image; generating a projection image by projecting the omnidirectional spherical image to a development view of a polyhedron; dividing, from the projection image, a director's view projection image corresponding to the director's view, based on the information regarding the director's view; reshaping the director's view projection image into a director's view rectangular image by moving a location of at least one of pixels of the director's view projection image; and generating a bitstream which the director's view rectangular image is encoded into.

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 is a method, performed by a terminal, of providing content includes determining whether at least one content is included in preference content, based on information about the at least one content provided to the terminal and preference information of a user of the terminal about content; content, which is not included in the preference content, is present in the at least one content, transmitting, to a server, a request to change the first content to second content included in the preference content based on previously stored information about the preference content; and outputting the second content received from the server, in response to the request.

Abstract: Provided is a video processing device and method capable of managing a security level of content included in a video. The video processing method includes: receiving an identifier of a video and information about a security policy to be set to the video; receiving security information related to the security policy; preparing the video by using the received identifier of the video; and updating security information of the prepared video by using the received security information according to the security policy.

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: 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: 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.

Abstract: The present disclosure relates to technologies for a sensor network, machine-to-machine (M2M) communication, machine type communication (MTC), and an Internet of Things (IoT) network. The present disclosure may be used in intelligence services based on such technologies (smart homes, smart buildings, smart cities, smart cars or connected cars, healthcare, digital education, retail business, and security and safety-related services). Provided is a method of transmitting encrypted data for preventing identification of transmitting and receiving devices, from a first device to a second device, the method including: generating an encryption key for encrypting data; generating key identification information by using the generated encryption key and encrypting the data; and transmitting a data set including the encrypted data and the key identification information to the second device.

Abstract: Provided is a video processing device and method capable of enhancing security of content included in a video, the video processing device including: a loader configured to load an original video; an encoder configured to generate an encoded video including a header and a payload by encoding the loaded original video; and a security information inserter configured to insert security information comprising information about a reproduction right of the video into the header or the payload.