Abstract:
Disclosed herein are a method, an apparatus and a storage medium for image encoding/decoding. In typical image encoding/decoding methods, a decoder-side motion information derivation method may be limitedly used. Therefore, the improvement of encoding efficiency attributable to the decoder-side motion information derivation method may also be limited. In embodiments, a motion information search method used in inter-prediction is disclosed. With the use of various motion search methods, encoding efficiency in inter-prediction may be improved.
Abstract:
A method for setting up a relay link to transfer a data frame using a relay in a wireless communication system. The relay link setup method of a source in the system may include receiving capability information of at least one relay supporting station included in the system from an access point or a personal basic service set central point, 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:
Disclosed herein are a method, an apparatus, and a storage medium for image encoding/decoding. An intra-prediction mode for the target block is derived, and intra-prediction for the target block that uses the derived intra-prediction mode is performed. The intra-prediction mode for the target block is derived using an artificial neural network, and an MPM list for the target block is derived using information about the target block, pieces of information about blocks adjacent to the target block, and the artificial neural network. The artificial neural network outputs one or more available intra-prediction modes. Further, the artificial neural network outputs match probabilities for one or more candidate intra-prediction modes, and each of the match probabilities for the candidate intra-prediction modes indicates a probability that the corresponding candidate intra-prediction mode matches the intra-prediction mode for the target block.
Abstract:
There are provided an apparatus, method, system, and recording medium for performing selective encoding/decoding on feature information. An encoding apparatus generates residual feature information. The encoding apparatus transmits the residual feature information to a decoding apparatus through a residual feature map bitstream. The residual feature information is the difference between feature information extracted from an original image and feature information extracted from a reconstructed image. Feature information of the reconstructed image is generated using the reconstructed image. Reconstructed feature information is generated using the feature information of the reconstructed image and reconstructed residual feature information.
Abstract:
A data transmission method of a source node in a cooperative communication system includes: performing a beamforming to a relay node; transmitting data to the relay node; performing a beamforming to a destination node; and transmitting data to the destination node.
Abstract:
Disclosed therein are a method, an apparatus, and a storage medium for image encoding/decoding. Templating matching is used for prediction for a target block. Prediction information to be applied to encoding of the target block is determined, and prediction for the target block that uses the determined prediction information is performed. The prediction information includes a list and multiple candidates in the list. When the multiple candidates in the list are configured, template matching between blocks may be used. A candidate selected from among multiple candidates configured using template matching is used for prediction for the target block.
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:
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. An intra-prediction mode for the target block is derived, and intra-prediction for the target block that uses the derived intra-prediction mode is performed. The intra-prediction mode for the target block is derived using an artificial neural network, and an MPM list for the target block is derived using information about the target block, pieces of information about blocks adjacent to the target block, and the artificial neural network. The artificial neural network outputs one or more available intra-prediction modes. Further, the artificial neural network outputs match probabilities for one or more candidate intra-prediction modes, and each of the match probabilities for the candidate intra-prediction modes indicates a probability that the corresponding candidate intra-prediction mode matches the intra-prediction mode for the target block.
Abstract:
A data transmission method of a source node in a cooperative communication system includes: performing a beamforming to a relay node; transmitting data to the relay node; performing a beamforming to a destination node; and transmitting data to the destination node.