METHOD AND APPARATUS FOR ENCODING VIDEO BASED ON SCANNING ORDER OF HIERARCHICAL DATA UNITS, AND METHOD AND APPARATUS FOR DECODING VIDEO BASED ON SCANNING ORDER OF HIERARCHICAL DATA UNITS
    62.
    发明申请
    METHOD AND APPARATUS FOR ENCODING VIDEO BASED ON SCANNING ORDER OF HIERARCHICAL DATA UNITS, AND METHOD AND APPARATUS FOR DECODING VIDEO BASED ON SCANNING ORDER OF HIERARCHICAL DATA UNITS 审中-公开
    基于分层数据单元的扫描命令编码视频的方法和装置,以及基于分层数据单元的扫描命令解码视频的方法和装置

    公开(公告)号:US20140294101A1

    公开(公告)日:2014-10-02

    申请号:US14305211

    申请日:2014-06-16

    Abstract: A video decoding method and apparatus and a video encoding method and apparatus based on a scanning order of hierarchical data units are provided. The decoding method includes: receiving and parsing a bitstream of an encoded video; extracting from the bitstream information about a size of a maximum coding unit for decoding a picture of the encoded video, and encoding information about a coded depth and an encoding mode for coding units of the picture, wherein the size of the maximum coding unit is a maximum size of a coding unit which is a data unit for decoding the picture; and determining a hierarchical structure of the maximum coding unit and the coding units into which the picture is divided according to depths, and decoding the picture based on the coding units, by using the information about the size of the maximum coding unit and the encoding information about the coded depth and the encoded mode.

    Abstract translation: 提供了基于层次数据单元的扫描顺序的视频解码方法和装置以及视频编码方法和装置。 解码方法包括:接收和解析编码视频的比特流; 从比特流中提取关于用于对编码视频的图像进行解码的最大编码单元的大小的信息,以及编码关于编码深度的信息和用于编码图像的编码单元的编码模式,其中最大编码单元的大小为 作为用于解码图像的数据单元的编码单元的最大尺寸; 以及根据深度来确定最大编码单位和图像划分成的编码单元的分层结构,并且通过使用关于最大编码单元和编码信息的大小的信息,基于编码单元对图像进行解码 关于编码深度和编码模式。

    METHOD AND APPARATUS FOR ENCODING VIDEO BY MOTION PREDICTION USING ARBITRARY PARTITION, AND METHOD AND APPARATUS FOR DECODING VIDEO BY MOTION PREDICTION USING ARBITRARY PARTITION
    64.
    发明申请
    METHOD AND APPARATUS FOR ENCODING VIDEO BY MOTION PREDICTION USING ARBITRARY PARTITION, AND METHOD AND APPARATUS FOR DECODING VIDEO BY MOTION PREDICTION USING ARBITRARY PARTITION 有权
    用于通过运动预测编码视频的方法和装置,使用ARBITRARY PARTITION,以及使用ARBITRARY PARTITION通过运动预测来解码视频的方法和装置

    公开(公告)号:US20140192874A1

    公开(公告)日:2014-07-10

    申请号:US14206081

    申请日:2014-03-12

    Abstract: An apparatus for decoding a video including a processor which determines coding units having a hierarchical structure being data units in which the encoded image is decoded, and sub-units for predicting the coding units, by using information that indicates division shapes of the coding units and information about prediction units of the coding units, parsed from a received bitstream of a encoded image, wherein the sub-units comprise partitions obtained by splitting at least one of a height and a width of the coding units according to at least one of a symmetric ratio and an asymmetric ratio, and a decoder which reconstructs the image by performing decoding including motion compensation using the partitions for the coding units, using the encoding information parsed from the received bitstream, wherein the coding units having the hierarchical structure comprise coding units of coded depths split hierarchically according to the coded depths and independently from neighboring coding units.

    Abstract translation: 一种用于解码视频的装置,包括:处理器,其确定具有分层结构的编码单位,其中编码图像被解码的数据单元;以及用于预测编码单元的子单元,通过使用指示编码单元的分割形状的信息和 关于从编码图像的接收比特流解码的编码单元的预测单元的信息,其中所述子单元包括通过根据以下中的至少一个来拆分所述编码单元的高度和宽度中的至少一个而获得的分区 比率和非对称比率,以及解码器,其使用从所接收的比特流解析的编码信息,通过使用所述编码单元的分区执行包括运动补偿的解码来重建图像,其中具有分层结构的编码单元包括编码单元 深度根据编码深度分层划分,并且独立于相邻编码单元 。

    METHOD AND APPARATUS FOR ENCODING VIDEO BY MOTION PREDICTION USING ARBITRARY PARTITION, AND METHOD AND APPARATUS FOR DECODING VIDEO BY MOTION PREDICTION USING ARBITRARY PARTITION
    69.
    发明申请
    METHOD AND APPARATUS FOR ENCODING VIDEO BY MOTION PREDICTION USING ARBITRARY PARTITION, AND METHOD AND APPARATUS FOR DECODING VIDEO BY MOTION PREDICTION USING ARBITRARY PARTITION 有权
    用于通过运动预测编码视频的方法和装置,使用ARBITRARY PARTITION,以及使用ARBITRARY PARTITION通过运动预测来解码视频的方法和装置

    公开(公告)号:US20130251035A1

    公开(公告)日:2013-09-26

    申请号:US13897560

    申请日:2013-05-20

    Abstract: An encoding method including: receiving and parsing a bitstream of an encoded image, determining coding units having a hierarchical structure being data units in which the encoded image is decoded, and sub-units for predicting the coding units, by using information that indicates division shapes of the coding units and information about prediction units of the coding units, parsed from the received bitstream, wherein the sub-units comprise partitions obtained by splitting at least one of a height and a width of the coding units according to at least one of a symmetric ratio and an asymmetric ratio, and reconstructing the image by performing decoding including motion compensation using the partitions for the coding units, using the encoding information parsed from received bitstream, wherein the coding units having the hierarchical structure comprise coding units of coded depths split hierarchically according to the coded depths and independently from neighboring coding units.

    Abstract translation: 一种编码方法,包括:通过使用指示划分形状的信息,接收并解析编码图像的比特流,确定具有分层结构的编码单元,其中编码图像被解码的数据单元,以及用于预测编码单元的子单元 的编码单元的信息和关于从所接收的比特流解码的编码单元的预测单元的信息,其中所述子单元包括通过根据以下中的至少一个来分割所述编码单元的高度和宽度中的至少一个而获得的分区: 对称比和不对称比,并且使用从接收的比特流解析的编码信息,通过使用编码单元的分区执行包括运动补偿的解码来重构图像,其中具有分层结构的编码单元包括分层编码的编码深度的编码单元 根据编码深度,并且独立于相邻编码单元。

    IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

    公开(公告)号:US20200058113A1

    公开(公告)日:2020-02-20

    申请号:US16348584

    申请日:2017-11-08

    Abstract: Disclosed is an image processing apparatus. The present image processing apparatus comprises: an input unit for inputting an image; and a processor for shrinking the inputted image to a predetermined ratio, extracting a visual feature from the shrunken image, performing an image quality enhancement process reflecting the extracted visual feature in the inputted image, repeatedly performing, for a predetermined number of times, the shrinking, the extracting, and the image quality enhancement process on the image that has undergone the image quality enhancement process. The present disclosure relates to an artificial intelligence (AI) system and an application thereof that simulate the functions of a human brain, such as recognition, judgment, etc., by using a machine learning algorithm such as deep learning, etc.

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