Abstract:
본 발명은 3차원 인쇄를 위한 다중컬러 잉크, 3차원 프린터 및 3차원 프린터의 제어방법에 관한 것이다. 본 발명의 일 측면은 3차원 인쇄를 위해 적어도 하나 이상의 제1잉크 조성물과 제2잉크 조성물을 포함하는 다중컬러 잉크에 있어서, 제1잉크 조성물은, 적어도 하나 이상의 광경화성 물질, 광경화성 조성물을 경화시키는 광개시제, 제1착색제, 적어도 하나 이상의 잉크 조성물이 접촉하여 발생하는 색간번짐을 방지하기 위한 색간번짐 방지제를 포함하며, 제2잉크 조성물은, 적어도 하나 이상의 광경화성 물질, 광경화성 조성물을 경화시키는 광개시제, 색간번짐 방지제와 반응하여 응집을 일으킬 수 있도록 산 모이어티를 가지는 제2착색제를 포함하는 것을 특징으로 하는 3차원 인쇄를 위한 다중컬러 잉크를 제공한다. 본 발명의 3차원 인쇄를 위한 다중컬러 잉크는 3차원 인쇄시 경화 전에 서로 다른 색의 잉크 조성물이 인접하는 경우의 색간 번짐을 방지하여 선명한 이미지를 구현하는 것이 가능하다.
Abstract:
클라우드 서버에서 컨텐트를 관리하는 방법에 있어서, 제 1 디바이스로부터 제 1 계정 정보에 대응하는 컨텐트 목록을 요청하는 신호를 수신하는 단계; 제 1 계정 정보와 관련된 적어도 하나의 컨텐트 및 제 1 계정 정보에 대응하는 제 1 파일명 생성 규칙 정보를 추출하는 단계; 제 1 파일명 생성 규칙 정보를 이용하여 적어도 하나의 컨텐트에 대한 파일명을 생성하는 단계; 및 적어도 하나의 컨텐트에 대한 파일명을 포함하는 컨텐트 목록을 제 1 디바이스에 제공하는 단계를 포함하는 컨텐트 관리 방법을 개시한다.
Abstract:
PURPOSE: A method for transceiving streaming data in a communication system with a server and a mobile communication terminal and the communication system therefor are provided to determine a bit rate in consideration of a communication environment between a server and a mobile communication terminal, thereby efficiently transceiving streaming data. CONSTITUTION: A server(30) converts multimedia data into streaming data using the prestored first bit rate. A mobile communication terminal(50) collects streaming parameters for determining the second bit rate if the streaming data is received. The mobile communication terminal informs the determined second bit rate to the server.
Abstract:
A method for channel adaptive video coding, an apparatus using the same, and a terminal having the apparatus are provided to encode video in consideration of a channel status, thereby transmitting the video resistant to an error in consideration of a channel status. A method for channel adaptive video coding comprises the following steps of: encoding an input moving picture; receiving a channel status continuously from a connection status analyzing unit if it is not determined that the input of the moving picture is not completed(S20); determining the grade of a channel by using a value for measuring the channel statue received from the connection status analyzing unit(S30); grouping each moving picture into plural slice groups(S40); and encoding the inputted moving picture according to the grouping reflecting the channel status(S50).
Abstract:
An image encoder and decoder based on wavelet transform for creating a thumbnail image, and a method thereof are provided to create the thumbnail image easily when an original image is encoded into a wavelet image in the encoder using a wavelet transform method and a wavelet-encoded image is decoded into the original image in the decoder using the wavelet transform method. An image tiling unit(200) divides an original image into the predetermined number of images. A wavelet transform unit(202) determines a frequency of wavelet transform for each of the divided images, performs the wavelet transform for the each of the divided images according to the determined frequency, and outputs wavelet transform data. An extraction unit(204) receives the wavelet transform data for the each of the divided images and extracts only specific wavelet transform data from the received wavelet transform data. A range mapping unit(206) performs the range mapping of the color value of each of pixels included into the extracted each wavelet transform data. An assembling unit(208) receives the each wavelet transform data, of which the range mapping is completed, reconstructs the received wavelet transform data, and generates a thumbnail image corresponding to the original image.
Abstract:
An adaptive encoding mode determination apparatus for an H.264 encoder and a determination method thereof are provided to increase or decrease a preset threshold value according to the frequency of the determination of an encoding mode by 16x16 macro block in a video frame currently encoded, and enable more macro blocks to be determined as the encoding mode by 16x16 macro block as the frequency of the determination of the encoding mode is increased by 16x16 macro block, thereby encoding the video frame in real time even in the H.264 encoder with a low-specification processor. A macro block unit selection unit(202) sets one of plural macro block units according to a preset order and outputs setting information about the set macro block. A motion vector prediction unit(200) predicts a motion vector according to a preset motion vector prediction method and sets an initial location according to the predicted motion vector prediction value. An SAD(Sum of Absolute Difference) calculation unit(204) receives information about the currently set macro block and information about the initial location and calculates an SAD value according to the currently set macro block for the currently set initial location. An SAD comparison unit(206) compares the calculated SAD value with a currently set threshold value and checks whether the currently calculated SAD value is less than the currently set threshold value. An encoding mode determination unit(208) determines an encoding mode according to the currently set macro block unit when the currently calculated SAD value is less than the currently set threshold value. A threshold value setting unit(210) determines whether to change the threshold value when the currently set encoding mode is the encoding mode according to the preset size of the macro block unit, and changes the threshold value when the change of the threshold value is needed.
Abstract:
A method for detecting low-luminance noise and an image compression apparatus therefor are provided to apply a low-luminance noise removing algorithm to input images selectively without applying the low-luminance noise removing algorithm to all input images, thereby being applied to a low-performance processor and reducing power consumption to increase a batter life and photograph a high-definition image when applied to a portable phone. A median value calculator(120) calculates a median value by using a median filter for pixels of a partial area on an input image when the image is inputted. A low-luminance noise determination unit(130) determines whether a difference between the median value and the original pixel value of the partial area exceeds a low-luminance noise determination threshold value, counts the number of pixels exceeding the low-luminance noise determination threshold value, and checks the distribution of the low-luminance noise to determine whether the image includes the low-luminance noise. A low-luminance noise removing unit(140) performs a low-luminance noise removing algorithm for the input image only when the input image includes the low-luminance noise.
Abstract:
A frame rate conversion method using motion interpolation is provided to interpolate a frame by searching motion information more proximate to a true motion compared with a motion estimating and compensating method based on a block matching algorithm. Motion vectors of an interpolation frame is initialized(502) and a block of the interpolation frame is set(504). Motion vectors adjacent to vertexes of each block are checked(506). The distance between the vertexes of each block and a corresponding adjacent motion vector is measured(508). A motion vector is calculated by vertexes of each block by using the measured distance and the adjacent motion vector(510). After motion vectors at the four vertexes of each block are obtained, motions of actual pixels of each block are interpolated(512).