Abstract: A method for processing a video signal according to the present invention comprises the steps of: determining a motion vector list comprising at least one of a spatial motion vector, a temporal motion vector, and a mutation vector as a motion vector candidate of a target block; extracting motion vector identification information for specifying the motion vector candidate to be used as a predicted motion vector of the target block; setting the motion vector candidate corresponding to the motion vector identification information as the predicted motion vector of the target block; and performing motion compensation based on the predicted motion vector. The present invention forms the motion vector candidate and derives the motion vector of the target and derives the motion vector of the target block therefrom, thus enabling a more accurate prediction of the motion vector, and thereby reduces the amount of transmitted residual data and improves coding efficiency.

Abstract: The present invention variably adjusts the maximum splitting information of a conversion unit according to the type of prediction unit and the splitting information on a coding unit and selects the optimal splitting information on the conversion unit. The present invention determines the maximum splitting information on the conversion unit of a depth block by using the maximum splitting information on the conversion unit for texture data. The present invention may lower complexity without a loss in efficiency by variably adjusting the maximum splitting information on the conversion unit in consideration of the characteristics of the depth data. The present invention may lower complexity by determining the maximum splitting information on the conversion unit of the depth data by using similar characteristics between the texture data and the depth data.

Abstract: The method for processing video signals according to the present invention involves deriving an inter-view motion vector of the current texture block from one of inter-view motion vector candidates in consideration of a priority among the inter-view motion vector candidates of the current texture block, and performing inter-view inter-prediction for the current texture block using the derived inter-view motion vector. The present invention enables more accurate inter-view motion vector prediction from among various inter-view motion vector candidates, and thus a reduction in the amount of residual data being transmitted, thereby improving coding efficiency.

Abstract: According to the present invention, a method of processing a video signal includes the steps of: receiving the depth data corresponding to a given block containing present pixels; determining a variation of the depth data; comparing the variation of the depth data with a predetermined value; if the variation is less than the predetermined value, coding the present pixels by using a first partial filter, and if the variation is greater than the predetermined value, coding the present pixels by using a second partial filter; wherein the second partial filter is applied to a wider range than the first partial filter. Accordingly the image quality of improved; the complexity according to the filter application is reduced; and at the same time variable filtering may improve the coding efficiency.

Abstract: The method for processing video signals according to the present invention determines a motion vector list including at least one of spatial motion vectors, temporal motion vectors, and variation vectors as motion vector candidates of a target block, extracts motion vector identifying information which specifies the motion vector candidates used as the predicted motion vectors of the target block, determines the motion vector candidates corresponding to the motion vector identifying information as the predicted motion vectors of the target block, and performs motion compensation on the basis of the predicted motion vectors. The present invention enables accurate motion vector prediction by forming motion vector candidates and induces motion vectors of a target block therefrom, and can enhance coding efficiency by reducing the amount of transmitted residual data.

Abstract: The present invention encodes a warp map by using a video codec such as a multi-view texture image by a warp converter, and decodes a warp map by using a video codec such as a multi-view texture image by using a warp inverter. The present invention may incur less additional costs because it does not use a dedicated warp map coder. In addition, the present invention may convert a warp map by using a warp map converter and send the converted map to an encoder and invert decoded warp map information by using a warp map inverter so that the warp map is encoded and decoded by using a video codec such as a multi-view texture image. In addition, it is possible to increase compatibility by enabling various kinds of supplementary data to be used. In addition, it is possible to increase technique compatibility by simply applying a warp map scheme to a 3D video coding technique using a depth map.

Abstract: The present invention relates to an image encoding method and an image decoding method. An image encoding method according to the present invention comprises: a step of determining motion information of a current block; and a step of transmitting information for inducing the motion information, wherein the step of determining motion information of the current block determines the motion information of the current block by reusing motion information of a reference block.

Abstract: The present invention relates to an intra prediction method for predicting pixel values within a prediction target block on the basis of a plurality of peripheral pixels adjacent to the prediction target block. The intra prediction method according to the present invention includes the steps of: receiving and decoding encoded image information; determining a target boundary by determining a plurality of boundary pixels representing the target boundary within the prediction target block on the basis of the decoded image information; determining a plurality of prediction target regions partitioned on the basis of the target boundary within the prediction target block; and performing a prediction for each of the plurality of prediction target regions on the basis of peripheral pixels differing from each other selected from among the plurality of the peripheral pixels.

Abstract: Disclosed are an encoding/decoding method and apparatus using a skip mode. The image decoding method comprises: generating a warping prediction depth image unit, and then decoding skip information regarding an image unit to be decoded; and decoding the image unit to be decoded using a skip mode based on the skip information. The skip information may be determined based on depth information of the warping prediction depth image unit, depth information of the image unit to be decoded, or edge information of a text picture image unit corresponding to the image unit to be decoded. Thus, an unnecessary prediction process need not be performed during the encoding and decoding of the image unit, thereby improving image encoding and decoding efficiency.

Abstract: A method synthesizes virtual images from a sequence of texture images and a sequence of corresponding depth images, wherein each depth images stores depths d at pixel locations I(x, y). Each depth image, is preprocessed to produce a corresponding preprocessed depth image. A first reference image and a second reference image are from the sequence of texture images. Then, depth-based 3D warping, depth-based histogram matching, base plus assistant image blending, and depth-based in-painting are applied in order to synthesize a virtual image.

Abstract: A virtual image is synthesized from a reduced resolution depth image storing depth values at each pixel location. The reduced resolution depth image is scaled up to produce an up-scaled depth image. Then, at least one filter is applied to the up-scaled depth image to produce a reconstructed depth image, and the virtual image is synthesized using the reconstructed depth image.

Abstract: In stereo images that include occluded pixels and visible pixels, occlusions are handled by first determining, for the occluded pixels, initial disparity values and support for the initial disparity values using an initial support function, an occlusion map and disparities of the visible pixels neighboring the occluded pixels in the stereo images. Then, for the occluded pixels, final disparity values and support for the final disparity values are determined using the initial disparity values, a final support function and a normalization function in an iterative support-and-decision process.

Abstract: A virtual image is synthesized from a reduced resolution depth image storing depth values at each pixel location. The reduced resolution depth image is scaled up to produce an up-scaled depth image. Then, at least one filter is applied to the up-scaled depth image to produce a reconstructed depth image, and the virtual image is synthesized using the reconstructed depth image.

Abstract: Embodiments of the invention disclose a system and a method for determining a disparity search range for a current stereo image of a scene based on a set of stereo images of the scene, comprising steps of: selecting a subset of stereo images from the set of stereo images, the subset includes the current stereo image and at least one neighboring stereo image, wherein the neighboring stereo image is temporally-neighboring to the current stereo image; determining a disparity histogram for each stereo image in the subset of stereo images to form a set of disparity histograms; determining a weighted disparity histogram as a weighted sum of the disparity histograms in the set of disparity histograms; and determining the disparity search range from the weighted disparity histogram.

Abstract: A method filters a depth image, wherein each depth image includes an array of pixels at locations (x, y), and wherein each pixel has a depth. A moving window is applied to the pixels in the depth image, wherein a size of the window covers a set of pixels centered at each pixel. A single representative depth from the set of pixel in the window is assigned to the pixel to produce a processed depth image. Then, each pixel in the processed depth image is filtered to correct outlier depths without blurring depth discontinuities to produce a filtered depth image.

Abstract: A method up-samples images in a reduced resolution video, wherein each image I(x, y) stores depths d at pixel locations (x, y). each depth image is scaled up to produce a corresponding up-scaled image. Then, image dilation, a median filter, image erosion, and a min-max filter are applied in order to produce a corresponding up-sampled image.

Abstract: A method and system acquire and display light fields. A continuous light field is reconstructed from input samples of an input light field of a 3D scene acquired by cameras according to an acquisition parameterization. The continuous light is reparameterized according to a display parameterization and then prefiltering and sampled to produce output samples having the display parametrization. The output samples are displayed as an output light field using a 3D display device. The reconstruction can be performed by interpolating the input samples having the different views.

Abstract: In stereo images that include occluded pixels and visible pixels, occlusions are handled by first determining, for the occluded pixels, initial disparity values and support for the initial disparity values using an initial support function, an occlusion map and disparities of the visible pixels neighboring the occluded pixels in the stereo images. Then, for the occluded pixels, final disparity values and support for the final disparity values are determined using the initial disparity values, a final support function and a normalization function in an iterative support-and-decision process.

Abstract: Embodiments of the invention disclose a system and a method for determining a disparity search range for a current stereo image of a scene based on a set of stereo images of the scene, comprising steps of: selecting a subset of stereo images from the set of stereo images, the subset includes the current stereo image and at least one neighboring stereo image, wherein the neighboring stereo image is temporally-neighboring to the current stereo image; determining a disparity histogram for each stereo image in the subset of stereo images to form a set of disparity histograms; determining a weighted disparity histogram as a weighted sum of the disparity histograms in the set of disparity histograms; and determining the disparity search range from the weighted disparity histogram.

Abstract: A method and system acquire and display light fields. A continuous light field is reconstructed from input samples of an input light field of a 3D scene acquired by cameras according to an acquisition parameterization. The continuous light is reparameterized according to a display parameterization and then prefiltering and sampled to produce output samples having the display parameterization. The output samples are displayed as an output light field using a 3D display device. The reconstruction can be performed by interpolating the input samples having the different views.