Abstract: A method for multiview video data encoding is provided. The method includes: performing feature detection on first picture data relating to a first view to obtain a first set of features corresponding to said first view; generating a picture bitstream based on the first picture data relating to the first view; performing feature detection on second picture data relating to a second view to obtain a second set of features corresponding to said second view; performing feature matching of the first and second sets of features so as to identify an area of common characteristics; and performing prediction on second input picture data based on the area of common characteristics so as to generate a residual data bitstream.

Abstract: A method for multiview picture data encoding comprising the steps of: performing extraction of features from multiview picture data to obtain a plurality of feature maps; performing stitching and/or transforming of the obtained plurality of feature maps to obtain at least one panoramic map of features; performing transforming of the multiview picture data to select a plurality of patches of view of the multiview picture data; encoding the at least one panoramic map of features; and encoding the plurality of patches of view.

Abstract: Methods and devices for video data decoding and encoding are provided. The method for video data decoding includes: obtaining a picture bitstream; obtaining a feature bitstream indicating a residual set of features as a result of subtracting a second set of features detected in encoded picture data generated from original picture data by encoding from a first set of features detected in the original picture data; retrieving a decoded set of features from decoding the picture bitstream; and recovering the first set of features indicating the features detected in the input picture data from the decoded set of features and the residual set of features decoded from the feature bitstream.

Abstract: A visual feature processing method in an encoding device is disclosed. The visual feature processing method comprises: performing feature extraction from picture data to be encoded based on a predetermined feature extraction method to thereby obtain a set of extracted features; sorting the features in the set of extracted features based on a predetermined criterion; iteratively dividing the sorted set of extracted features in a plurality of subsets of features, said plurality of subsets of features comprising a first subset of features and at least one further subset of features, wherein the first subset of features is assigned a priority value which is higher than the priority value of the at least one further subset of features; and multiplexing the features of each subset of features for outputting for compressing, wherein the multiplexing is based on the priority value assigned to each subset of features.

Abstract: Computer-implemented methods, computer-readable media and devices for encoding video data using picture synthesis from features are provided. A computer-implemented method of encoding video data includes extracting features from a picture in a video; obtaining a predicted value of one or more regions in the picture by applying generative picture synthesis onto the features; obtaining a residual value of the one or more regions in the picture based on an original value of the one or more regions in the picture and the predicted picture; and encoding the residual value and the extracted features. Disclosed herein are also computer-implemented methods, computer-readable media and devices for decoding video data using picture synthesis from features.

Abstract: Disclosed herein is an image encoding/decoding method and apparatus for virtual view synthesis. The image decoding for virtual view synthesis may include decoding texture information and depth information of at least one or more basic view images and at least one or more additional view images from a bit stream and synthesizing a virtual view on the basis of the texture information and the depth information, wherein the basic view image and the additional view image comprise a non-empty region and an empty region, and wherein the synthesizing of the virtual view comprises determining the non-empty region through a specific value in the depth information and a threshold and synthesizing the virtual view by using the determined non-empty region.

Abstract: Disclosed herein is an image encoding/decoding method and apparatus for virtual view synthesis. The image decoding for virtual view synthesis may include decoding texture information and depth information of at least one or more basic view images and at least one or more additional view images from a bit stream and synthesizing a virtual view on the basis of the texture information and the depth information, wherein the basic view image and the additional view image comprise a non-empty region and an empty region, and wherein the synthesizing of the virtual view comprises determining the non-empty region through a specific value in the depth information and a threshold and synthesizing the virtual view by using the determined non-empty region.

Abstract: A method for disoccluded region coding in multiview video data stream by an entropy encoder, the method comprising the steps of: coding a block of a base view; storing state and estimated probabilities in contexts models of the entropy encoder in a context storage module with a reference identifying the block of the base view; repeating the aforementioned steps of coding and storing for every block of the base view of the multiview video data stream; starting coding of a disoccluded region and dividing, into blocks, disoccluded area of a side view associated with the base view; determining, for neighboring blocks, of currently coded block, that have not been in the disoccluded area, a corresponding block in the base view, using a block correspondence database; when such a correspondence is determined, reading a previously stored state and estimated probabilities in context models of the entropy encoder for the corresponding block; copying all coding modes from the corresponding block to the neighboring block;

Abstract: A method for predictive encoding of a depth map, includes the steps of receiving a depth map; dividing the depth map to blocks; performing quad-tree decomposition of the depth map to sub-blocks; approximating each of the sub-blocks by a plane, wherein the plane is associated with three plane points; and determining an order of coding of the sub-blocks; and providing an encoded depth map in a form of a set of planes defined by parameters. The method includes, while encoding consecutive sub-blocks: calculating predictors for the plane points of the currently-encoded sub-block (C); calculating differences between the actual values of the plane points and the values of the corresponding predictors; and providing the parameters of the plane for the currently-encoded sub-block (C) in form of the differences.

Abstract: A computer-implemented system for generating a depth map for a pair of stereoscopic images, the system comprising a lower level processing arrangement and a higher level processing arrangement. The lower level processing arrangement comprises a search range estimation module receiving a reliability map and configured to determine a range of considered disparities in a higher level of processing wherein a decision regarding such range is taken based on the reliability map. The higher level processing arrangement comprises a depth map generation with reliability module receiving output of an image sections matching module configured to output a depth map and a reliability map wherein the reliability map comprises data on reliability, with which a disparity value has been determined for each point of the pair of stereoscopic images.

Abstract: A method for depth-image-based rendering, the method comprising the steps of: obtaining a first reference view; obtaining a depth map for the first reference view; obtaining a second reference view; obtaining a depth map for the second reference view; the method further comprising the steps of extracting noise present in the first and the second reference views; denoising the first and the second reference views and, based on the denoised first and second reference views, rendering an output view using depth-image-based rendering; adding the extracted noise to the output view.

Abstract: A method for depth-image-based rendering, the method comprising the steps of: obtaining a first reference view; obtaining a depth map for the first reference view; obtaining a second reference view; obtaining a depth map for the second reference view; the method further comprising the steps of extracting noise present in the first and the second reference views; denoising the first and the second reference views and, based on the denoised first and second reference views, rendering an output view using depth-image-based rendering; adding the extracted noise to the output view.

Abstract: A method for disoccluded region coding in multiview video data stream by an entropy encoder, the method comprising the steps of: coding a block of a base view; storing state and estimated probabilities in contexts models of the entropy encoder in a context storage module with a reference identifying the block of the base view; repeating the aforementioned steps of coding and storing for every block of the base view of the multiview video data stream; starting coding of a disoccluded region and dividing, into blocks, disoccluded area of a side view associated with the base view; determining, for neighboring blocks, of currently coded block, that have not been in the disoccluded area, a corresponding block in the base view, using a block correspondence database; when such a correspondence is determined, reading a previously stored state and estimated probabilities in context models of the entropy encoder for the corresponding block; copying all coding modes from the corresponding block to the neighboring block;

Abstract: A method for predictive encoding of a depth map, comprising the steps of: receiving a depth map; dividing the depth map to blocks; performing quad-tree decomposition of the depth map to sub-blocks; approximating each of the sub-blocks by a plane, the plane being associated with three plane points (p0, p1, p2); providing an encoded depth map in a form of a set of planes defined by parameters.

Abstract: A system for determining cost of application of a coding type in a video encoder, the video encoder comprising a context-based adaptive binary arithmetic coding (CABAC) module wherein the Context-based adaptive binary arithmetic coding module comprises a binarization module configured to assign a variable-length input string of bits to a syntax element, wherein the complete stream of bins, present at the output of the binarization module, is divided into a number of sub-streams; wherein the system comprises a selectively applied mode of operation configured to determine a cost of application of a coding type in said video encoder; and wherein upon selection of said mode, the system is configured to input the sub-streams to a “binarization output, relational table” module configured to relate each sub-stream to a bit cost and to output said bit cost for each sub-stream.

Abstract: A computer-implemented system for generating a depth map for a pair of stereoscopic images, the system comprising: a lower level processing arrangement comprising: a decimation module configured to decrease resolution of the pair of stereoscopic images by a factor of “a”; an image sections matching module, receiving the decimated pair of stereoscopic images configured to output information on matching cost, at appropriate disparities, to appropriate points of the other image from decimated pair of stereoscopic images; a depth map generation with reliability module receiving output of the image sections matching module configured to output a depth map and a reliability map wherein the reliability map comprises data on reliability, with which a disparity value has been determined for each point of the decimated pair of stereoscopic images; a disparity scaling module receiving the depth map and configured to upscale the image of the depth map and scale its values by a factor of “a”; a search range estimation mod

Abstract: A method for estimating a size of an object present on two images representing the same scene from different points of view, the method comprising: determining an AAM image model; matching the AAM image model to the images to find a set of parameters describing the shape of the model (pc) and the appearance of the model (?c) for which minimal matching errors for both images occur; and estimating the size of the object based on the differences in locations of points of the AAM image model in the images. The image model is matched to both images mutually, i.e. by using information from both images.

Abstract: A computer implemented method for encoding of input video data, the method comprising the steps of: denoising the input video data to obtain denoised data; encoding the denoised data; retrieving coding modes used during the encoding of the denoised data; and encoding the input video data using the retrieved coding modes.

Abstract: An image coding method. The method includes encoding a first image, the first image having a reduced spatial resolution relative to an input image, wherein values of the first image depend on energy of corresponding areas of the input image, and encoding a first shape information of the shape of a spatial spectrum of the input image. The method further includes reconstructing a second image from the encoded first image, reconstructing a second shape information from the encoded first shape information, and generating a noise image having an intensity described by the second image and having a spectrum shape described by the second shape information.