Abstract:
A method and an apparatus for obtaining a brightness compensation prediction value and a brightness compensation flag value in a brightness compensation process during multi view coding are provided to estimate the brightness compensation prediction value and the brightness compensation flag value more effectively, thereby improving coding efficiency. When a current block performing brightness compensation is in a skip mode, a brightness compensation prediction value is obtained by using information of blocks adjacent to the current block(1010). When the obtained brightness compensation prediction value is 0, it is set that the brightness compensation of the current block is not performed(1030). When the brightness compensation prediction value is not 0, it is set that the brightness compensation of the current block is performed(1040).
Abstract:
A method and an apparatus for inducing a brightness compensation prediction value and a brightness compensation flag value in a brightness compensation process during multi view video coding are provided to predict a flag prediction value which indicates whether brightness compensation is performed during multi view coding and the brightness compensation prediction value more effectively, thereby improving coding efficiency. A brightness compensation prediction value is induced by using information of blocks adjacent to a current block when the current block for performing brightness compensation is in a B skip mode(510). When the induced brightness compensation prediction value is 0, it is set not to perform brightness compensation of the current block(530). When the induced brightness compensation prediction value is not 0, it is set to perform the brightness compensation of the current block(540).
Abstract:
A method for generating an XR(Xor Redundant) picture slice and a loss slice recovering method using the same are provided to recover a loss slice without an additional retransmission process although a slice is lost by generating an XR slice for important slices to be protected after compressing a moving picture and transmitting the generated XR slice. An XR slice application layer and an application range are set up(501). In the set XR slice application layer, the XOR operation of frames including at least one slice is performed in the set application range, and an XR slice is generated(502). When the generated XR slice is transmitted to a decoder, information of the set XR slice application layer and information of the set range are transmitted as a certain type.
Abstract:
본 발명은 다시점 비디오 코딩에 있어서 뷰 사이의 이미지 정보를 보상하는 과정에서 이미지 정보 변이값을 예측하는 방법과 이를 이용한 다시점 영상의 부호화/복호화 방법 및 장치에 관한 것이다. 본 발명의 바람직한 실시예에 따른 이미지 정보 변이값의 예측 방법에 의하면, 이미지 정보 변이값에 대한 예측 효율을 높이기 위하여 현재 블록과 동일한 영상 내에서 현재 블록에 인접한 코딩 완료된 블록 뿐만 아니라 같은 뷰 내에서 현재 영상과 다른 시간에서의 코딩 완료된 영상에서 현재 블록에 대응하는 위치의 블록 및 그 주변 블록의 이미지 정보 변이값을 이용하여 현재 블록에 대한 이미지 정보 변이값을 예측한다. MPEG, H.264/AVC, 다시점 영상, 변이값 보상, 휘도 변이, 색차 변이, RGB 변이
Abstract:
A scalable video encoding/decoding method and an apparatus thereof are provided to override an existing weight given in a slice unit to a corresponding block of an enhancement layer of a reference frame with a greater weight than the existing weight in forming the reference block of the enhancement layer when the video data of a macro block of a basic layer is in a skip mode, thereby improving efficiency of SVC(Scalable Video Coding). A scalable video encoding method comprises the following steps of: determining whether the block of a basic layer corresponding to the block of an enhancement layer of a current frame to encode is in a skip mode(S210); overriding an existing weight set in the block of the enhancement layer of a reference frame corresponding to the block of the enhancement layer of the current frame with a new weight when the block of the basic layer is in the skip mode(S220); and generating a reference block for the block of the enhancement layer of the current frame based on the block of the enhancement layer of the reference frame and the block of the basic layer of the current frame by using the new weight(S230).
Abstract:
A method for scalable encoding of video data and an apparatus thereof are provided to override an existing weight value given in a slice unit with a greater weight when the reference block of an enhancement layer is generated if the video data of a macro block of a base layer is in a skip mode, thereby improving efficiency of the scalable video encoding. A method for scalable encoding of video data comprises the following steps of: generating a reference block by using a weight set for a corresponding block when the video data of a macro block can be predicted from the video data of reference pictures for the video data of the macro block(220); and generating the reference block by using a weight given to a slice belonging to a current frame when the video data of the macro block can not be predicted from the video data of the reference pictures.
Abstract:
A motion vector prediction method in multi-view video coding and an apparatus and a method for encoding/decoding a multi-view image using the same are provided to find a motion vector prediction value in a multi-view video coding so that the amount of information(entropy) is reduced, consequently the efficiency of prediction coding efficiency is improved. A motion vector prediction value is calculated by using at least one adjustably selected among motion vectors of neighboring blocks of a present block, motion vectors of blocks of corresponding to a time direction of the present block, and motion vectors of blocks corresponding to a view direction of the present block. The motion vector prediction value is the mean value of the selected motion vector. One motion vector is selected, and the motion vector prediction value is identical to the selected motion vector. The motion vector prediction value is the mean value of the selected motion vector and the vector(0,0).
Abstract:
A method for compensating for image information disparity through contrast correction and a method and an apparatus for decoding/encoding a multi-view video by using the compensating method are provided to improve a prediction coding efficiency when an average difference or a contrast difference exists in the image information of two images. The contrast of a reference image having a view different from that of a present image is corrected(S21). A prediction image of the present image is created by using image information of the corrected reference image. The contrast is corrected by using contrast correction information of the input image. The contrast correction information of the image includes information about a correction scheme. The image information of the prediction image is identical to the image information of the reference image.
Abstract:
1. 청구범위에 기재된 발명이 속한 기술분야 본 발명은, 영역별 시공간적 특성을 이용한 동영상 부호화 장치 및 그 방법에 관한 것임. 2. 발명이 해결하려고 하는 기술적 과제 본 발명은, GOP(group of pictures) 단위의 영상을 공간적 계층의 수와 시간적 해상도의 수에 따라 소정 개수의 매크로블록을 가지는 슈퍼 매크로블록 단위로 구분하고, 시공간적 활성도를 산출하여 소정 범위를 만족시키는 슈퍼 매크로블록별로 그룹핑한 후 해당 영역에 상응하는 부호화 방식으로 부호화함으로써, 압축의 효율성을 향상시키기 위한 영역별 시공간적 특성을 이용한 동영상 부호화 장치 및 그 방법을 제공하는데 그 목적이 있음. 3. 발명의 해결방법의 요지 본 발명은, 영역별 시공간적 특성을 이용한 동영상 부호화 장치에 있어서, GOP(group of pictures) 단위의 영상을 입력받기 위한 영상 입력수단; 상기 영상 입력수단에서 입력받은 영상을 공간적 계층의 수와 시간적 해상도의 수에 따라 소정 개수의 매크로블록을 가지는 슈퍼 매크로블록 단위로 구분하기 위한 슈퍼 매크로블록 구분수단; 상기 슈퍼 매크로블록 구분수단에서 구분한 슈퍼 매크로블록의 시공간적 활성도를 산출하기 위한 활성도 산출수단; 상기 활성도 산출수단에서 산출한 시공간적 활성도가 소정 범위를 만족시키는 슈퍼 매크로블록별로 그룹핑하기 위한 그룹핑수단; 및 상기 그룹핑수단에서 그룹핑한 슈퍼 매크로블록을 시공간적 활성도에 따라 부호화하기 위한 부호화수단을 포함함. 4. 발명의 중요한 용도 본 발명은 동영상의 부호화 등에 이용됨. 동영상 부호화, 슈퍼 매크로블록, 슈퍼 슬라이스, 시공간적 활성도, 비디오시퀀스
Abstract:
A method for compressing/decompressing an image irregularly sampled is provided to perform compression/decompression efficiently without an additional interpolation process by extracting a plurality of pixels from the image irregularly sampled, designating the order of the extracted pixels, mapping and compressing the pixels to an orthogonal vector, and decompressing the compressed pixels by using mapping type information and orthogonal vector set information. A plurality of pixels is extracted from an image irregularly sampled by using a square block(501). A plurality of order designation types is applied to the extracted pixels to designate the order of the respective pixels(502). An inner product of orthogonal vector values corresponding to the designated pixels values is performed for the pixels whose order is designated through the respective order designation types to calculate result values(503). After a result value with high energy concentration is searched among the result values corresponding to the respective order designation types, corresponding order designation type information and orthogonal vector information are inserted into transmission data(504). The pixels are decompressed by using the order designation type information and the orthogonal vector information(505).