Abstract:
A method of determining an offset includes dividing a current image into a plurality of blocks, determining a category of pixels in each of the plurality of blocks based on values of neighboring pixels, determining an offset value for pixels belonging to the category, and adjusting the offset value based on characteristics of the category and a background pixel value of each of the pixels. The offset value is an average of differences between values of original images and restored images of pixels belonging to one category. The background pixel value is an average of values of pixels in a background pixel block to which the pixels belong among background pixel blocks divided to calculate a background pixel value.
Abstract:
A high level syntax of picture for random access is provided. A video decoding method obtains type information of a random access point (RAP) picture from a header of a network adaptive layer (NAL) unit. The type information of the RAP picture may be classified based on whether a leading picture exists and whether a random access decodable leading (RADL) picture exists. It is determined whether the leading picture is decodable based on the type information of the RAP picture and the RAP picture and a decodable leading picture are decoded.
Abstract:
Provided are methods of encoding and decoding multilayer video. The multilayer video encoding method includes: encoding an image sequence of each of a plurality of layers constituting multilayer video by using inter layer prediction; determining a reference layer referred to by the image sequence of each layer based on a result of the encoding; adding reference layer information of each layer to a first data unit comprising information commonly applied to the image sequence included in the multilayer video; andwhen a reference layer referred to by the image sequence of each layer is changed at a predetermined point, adding change information of the reference layer to a second data unit.
Abstract:
Provided are a multi-layer video encoding method and apparatus, and a multi-layer video decoding method and apparatus, which implement a new multi-layer video prediction structure. The multi-layer video decoding method includes: reconstructing base layer images by performing motion compensation and intra decoding on a base layer stream; and reconstructing enhancement layer images by reconstructing an enhancement layer random access point (RAP) image of a same type corresponding to a base layer RAP image capable of random access from among the base layer images, from an enhancement layer stream and by performing motion compensation and inter-layer decoding using the base layer images on the enhancement layer images including the reconstructed enhancement layer RAP image.
Abstract:
The present disclosure relates to signaling of sample adaptive offset (SAO) parameters determined to minimize an error between an original image and a reconstructed image in video encoding and decoding operations. An SAO decoding method includes obtaining context-encoded leftward SAO merge information and context-encoded upward SAO merge information from a bitstream of a largest coding unit (MCU); obtaining SAO on/off information context-encoded with respect to each color component, from the bitstream; if the SAO on/off information indicates to perform SAO operation, obtaining absolute offset value information for each SAO category bypass-encoded with respect to each color component, from the bitstream; and obtaining one of band position information and edge class information bypass-encoded with respect to each color component, from the bitstream.
Abstract:
A multi-layer video decoding method includes receiving a plurality of multi-layer image streams that constitute a multi-layer video, obtaining, from a data unit header including information of a second random access point (RAP) picture that corresponds to a first RAP picture included in a first layer image stream and is included in a second layer image stream from among the plurality of multi-layer image streams, first picture order count (POC) information for determining a first partial value of a POC of the second RAP picture that is set to be the same as a POC of the first RAP picture, obtaining, from the data unit header, second POC information about a second partial value of the POC of the second RAP picture, and obtaining the POC of the second RAP picture by using the first POC information and the second POC information.
Abstract:
Video encoding and decoding accompanying inter prediction and motion compensation in a multi-view video prediction structure. A multi-view video prediction restoring method includes receiving a base view image stream and additional view image streams for two or more additional views; restoring base view images including base view anchor pictures that are I-picture type images by performing motion compensation referring to the base view images by using the base view image stream; and restoring images of a first additional view by performing at least one of disparity compensation referring to the restored base view images and motion compensation referring to images except for an anchor picture having a preceding reproduction order among the images of the first additional view by using an image stream of the first additional view among the additional view image streams.
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 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:
An electronic device and an method of the electronic device are provided, where the electronic device maintains a context that does not reflect a request for a secret conversation, in response to the request for the secret conversation being received from a first user, and generates a response signal to a voice signal of a second user based on the maintained context, in response to an end of the secret conversation with the first user.