Abstract: An encoding apparatus extracts features of an image by applying multiple padding operations and multiple downscaling operations to an image represented by data and transmits feature information indicating the features to a decoding apparatus. The multiple padding operations and the multiple downscaling operations are applied to the image in an order in which one padding operation is applied and thereafter one downscaling operation corresponding to the padding operation is applied. A decoding method receives feature information from an encoding apparatus, and generates a reconstructed image by applying multiple upscaling operations and multiple trimming operations to an image represented by the feature information. The multiple upscaling operations and the multiple trimming operations are applied to the image in an order in which one upscaling operation is applied and thereafter one trimming operation corresponding to the upscaling operation is applied.

Abstract: A method and an apparatus for allocating a flexible transmission slot in a wireless local area network (LAN) system are disclosed. A flexible transmission slot allocation method of an access point (AP) in a wireless local area network (WLAN) system according to an exemplary embodiment includes transmitting a beacon including a traffic indication map (TIM) bit to a station, receiving a power save poll (PS-Poll) from the station in a slot implicitly allocated by the TIM bit, and transmitting an acknowledgement (ACK) including transmission slot allocation information on downlink data to the station.

Abstract: An encoding apparatus extracts features of an image by applying multiple padding operations and multiple downscaling operations to an image represented by data and transmits feature information indicating the features to a decoding apparatus. The multiple padding operations and the multiple downscaling operations are applied to the image in an order in which one padding operation is applied and thereafter one downscaling operation corresponding to the padding operation is applied. A decoding method receives feature information from an encoding apparatus, and generates a reconstructed image by applying multiple upscaling operations and multiple trimming operations to an image represented by the feature information. The multiple upscaling operations and the multiple trimming operations are applied to the image in an order in which one upscaling operation is applied and thereafter one trimming operation corresponding to the upscaling operation is applied.

Abstract: Disclosed herein is an encoding method. The encoding method includes extracting a feature map from an input image, determining an encoding feature map based on the extracted feature map, generating a converted feature map by performing conversion on the encoding feature map, and performing encoding on the converted feature map.

Abstract: A method of transmitting a frame is provided by a device in a WLAN. The device sets as additional data subcarriers some of subcarriers which are not set as data subcarriers in at least part of fields included in a frame of a legacy frame format, and allocates information to the additional data subcarriers.

Abstract: A method and an apparatus for allocating a flexible transmission slot in a wireless local area network (LAN) system are disclosed. A flexible transmission slot allocation method of an access point (AP) in a wireless local area network (WLAN) system according to an exemplary embodiment includes transmitting a beacon including a traffic indication map (TIM) bit to a station, receiving a power save poll (PS-Poll) from the station in a slot implicitly allocated by the TIM bit, and transmitting an acknowledgement (ACK) including transmission slot allocation information on downlink data to the station.

Abstract: A method of transmitting a frame is provided by a device in a WLAN. The device sets as additional data subcarriers some of subcarriers which are not set as data subcarriers in at least part of fields included in a frame of a legacy frame format, and allocates information to the additional data subcarriers.

Abstract: Disclosed herein are a method, apparatus, system, and computer-readable recording medium for image compression. An encoding apparatus performs preprocessing of feature map information, frame packing, frame classification, and encoding. A decoding apparatus performs decoding, frame depacking, and postprocessing in order to reconstruct feature map information. By encoding the feature map information, inter-prediction and intra-block prediction for a frame are performed. The encoding apparatus provides the decoding apparatus with a feature map information bitstream for reconstructing the feature map information along with an image information bitstream.

Abstract: Disclosed herein is an encoding method. The encoding method includes generating multiple feature maps using an input image, transforming the feature maps using a transform vector, and generating a bitstream by performing entropy encoding on at least any one of the feature map, the transform coefficient of the feature map, or the transform vector, or a combination thereof.

Abstract: Disclosed herein are a method, an apparatus and a storage medium for processing a feature map. An encoding method for a feature map includes configuring a feature frame for feature maps, and generating encoded information by performing encoding on the feature frame. A decoding method for a feature map includes reconstructing a feature frame by performing decoding on encoded information, and reconstructing feature maps using the feature frame. A feature frame is configured using feature maps, and compression using a video compression codec or a deep learning-based image compression method is applied to the feature frame.

Abstract: Disclosed herein are a video-decoding method and apparatus and a video encoding method and apparatus, and more particularly a method and an apparatus which perform region-differential image encoding/decoding using a recovered image. In accordance with an encoding method according to an embodiment, a recovered low-quality image is generated by performing encoding on an original image and a recovered high-quality image is generated using the recovered low-quality image. An image is segmented into multiple regions, and encoded reconstruction information for generating a reconstructed high-quality image is generated by performing encoding on the image.

Abstract: An apparatus and method for orthogonal frequency division multiplexing (OFDM) transmission in a wireless local area network (WLAN) system is disclosed, in which the apparatus for OFDM transmission in the WLAN system includes a signal repetition unit to repeat an encoded signal based on a block unit and output the encoded signal and a repeated signal, an interleaver to interleave the encoded signal and the repeated signal and output an interleaved signal, a modulator to modulate the interleaved signal and output modulated symbols, and a phase rotation unit to phase shift the modulated symbol.

Abstract: Disclosed herein are a method and apparatus for image compression based on machine learning using a global context. The disclosed image compression network employs an existing image quality enhancement network for an end-to-end joint learning scheme. The image compression network may jointly optimize image compression enhancement and quality enhancement. The image compression networks and image quality enhancement networks may be easily combined within a unified architecture which minimizes total loss, and may be easily jointly optimized.

Abstract: Provided is an apparatus and method for wideband short-range wireless communication using a directional antenna in a millimeter wave band, and the method for wideband short-range wireless communication according to an embodiment may determine a first time interval and a second time interval for a cooperated data frame transfer based on a packet transmission time at each transmission from a source node to a destination node, transmit a frame to a relay node through an antenna pattern directed towards the relay node at a start point of the first time interval, and transmit the frame to the destination node through an antenna pattern directed towards the destination node after a predetermined period of time from a start point of the second time interval.

Abstract: A method and apparatus for setting up a relay link to transfer a data frame using a relay in a wireless communication system are provided. The relay link setup method of a source STA in a wireless communication system may include receiving capability information of at least one relay supporting station included in the wireless communication system from an access point (AP) or a personal basic service set (PBSS) central point (PCP), selecting one of the at least one relay supporting station as a relay station, using beam forming information among the source station, a destination station, and the at least one relay supporting station and the capability information, transferring a relay link setup request frame to the destination station, and receiving a relay link setup response frame that includes information on a relay link setup result from the destination station. The relay link setup request frame and the relay link setup response frame may pass through the relay station.

Abstract: Provided is a method of transmitting and receiving a frame for a multi-user multiple-input and multiple-output (MU-MIMO) communication in an access point (AP), the method including transmitting, to each of a plurality of stations (STAs), an uplink multi-user request (UL MU request) frame requesting transmission of a data frame, and receiving, from each of the plurality of STAs, the data frame during an identical period of time based on an identical reception intensity, wherein the UL MU request frame includes at least one of information on a transmission time of the data frame and information on a reception intensity of the data frame in the AP.

Abstract: Disclosed herein are a method, an apparatus, and a storage medium for image encoding/decoding using prediction. Multiple candidate prediction images are derived, and a final prediction image is generated using the multiple prediction images. The multiple candidate prediction images may be respectively generated using different methods. The multiple candidate prediction images may be generated using neural networks. Here, the multiple candidate prediction images may be respectively derived using different values for a specific coding parameter. Multiple neural networks may use different values for the specific coding parameter. Various coding parameters related to image encoding and/or decoding may be used for embodiments.

Abstract: Disclosed herein are a method, an apparatus and a storage medium for image encoding/decoding using a binary mask. An encoding method includes generating a latent vector using an input image, generating a selected latent vector component set using a binary mask, and generating a main bitstream by performing entropy encoding on the selected latent vector component set. A decoding method includes generating a selected latent vector component set including one or more selected latent vector components by performing entropy decoding on a main bitstream and generating the latent vector in which the one or more selected latent vector components are relocated by relocating the selected latent vector component set in the latent vector.

Abstract: Disclosed herein are a method, an apparatus, and a storage medium for image encoding/decoding using filtering. The image encoding method and the image decoding method perform classification on a classification unit of a target image, and perform filtering that uses a filter on the classification unit. A classification index of the classification unit is determined, and the classification index indicates a filter to be used for filtering on the classification unit, among multiple filters. The classification index is determined by various coding parameters, such as an encoding mode of the target block and an encoding mode of a neighboring block adjacent to the target block.

Abstract: Disclosed herein are a method, apparatus, system, and computer-readable recording medium for image compression. An encoding apparatus performs preprocessing of feature map information, frame packing, frame classification, and encoding. A decoding apparatus performs decoding, frame depacking, and postprocessing in order to reconstruct feature map information. By encoding the feature map information, inter-prediction and intra-block prediction for a frame are performed. The encoding apparatus provides the decoding apparatus with a feature map information bitstream for reconstructing the feature map information along with an image information bitstream.