Patent application number | Description | Published |
20140071347 | Method for Editing Propagation of Video and Image Content Based on Local Feature Structure Preservation - The invention discloses a method for editing propagation of video and image content based on local feature structure preservation, comprising: mapping all pixels in the input original image and/or video key frames to a selected feature space; finding K nearest neighbor pixels for each pixel according to feature vectors' Euclidean distance in the selected feature space; using Locally Linear Embedding (LLE) dimension reduction to construct the locally linear relationship between each pixel and its K nearest neighbor pixels in the selected feature space; According to the present invention, it is possible to accurately perform such image or video processing as automatic color transformation, interactive color editing, gray image colorization, video cloning and image matting. | 03-13-2014 |
20150030312 | METHOD OF SPARSE REPRESENTATION OF CONTENTS OF HIGH-RESOLUTION VIDEO IMAGES SUPPORTING CONTENT EDITING AND PROPAGATION - This invention provides a method of sparse representation of contents of high-resolution video images which supports content editing and propagation. It mainly comprises five steps which are: (1) to input the original images or videos of high resolution to summarize the characteristic information of their pixels; (2) to acquire the highly sparse samples of the original images or videos through the sparse representation technique; (3) to reconstruct each pixel of the input images or videos with a small number of the original sparse samples to calculate a coefficient of reconstruction; (4) to edit and propagate the original sparse samples to yield a result of new sparse samples; (5) to generate a result of final images or videos of high resolution according to the result of sparse samples and the coefficient of reconstruction. This invention only edits and propagates the highly sparse samples rather than all the information of pixels. Thus, the memory consumption can be greatly reduced so as to possibly process the images or videos of high resolution in a very small memory space. It is very potential to be widely applied in the fields of image processing, computer vision and augmented reality technique. | 01-29-2015 |
20150084955 | METHOD OF CONSTRUCTING 3D CLOTHING MODEL BASED ON A SINGLE IMAGE - A method of constructing 3D clothing model based on single image, estimating a 3D model of human body of an inputted image and constructing 3D clothing plane according to the clothing silhouette of the inputted image. The method includes utilizing the 3D clothing plane and the 3D model of human body to generate a smooth 3D clothing model through a deformation algorithm. A decomposition algorithm of intrinsic image is utilized along with a shape-from-shading algorithm to acquire a set of detail information of clothing from the inputted image. A weighted Laplace editing algorithm is utilized to shift the acquired detail information of clothing to the smooth 3D clothing model to yield a final 3D clothing model. A 3D clothing model is used to generate the surface geometry details including folds, wrinkles. | 03-26-2015 |
20150195510 | METHOD OF INTEGRATING BINOCULAR STEREO VIDEO SCENES WITH MAINTAINING TIME CONSISTENCY - A method of integrating binocular stereo video scenes with maintaining time consistency includes: propagating and extracting a contour of moving object of stereo video A; integrating and deformating of parallax between moving object and dynamic scene with time consistency; color blending of moving object and dynamic scene with time consistency where a method of median coordinate fusion is utilized. The method is simple and effective to utilize a small quantity of user interactions to successfully extract moving objects from stereo video which are same in time and as consistent as possible between left view and right view to develop multiple constraint conditions to guide the integration and deformation of parallax of moving object and dynamic scene and allow moving object to conform to the rules of perspective of dynamic scene. Moreover, the deformation result of moving object is smooth and consistent and can avoid effectively the occurrence of “dithering” phenomenon. | 07-09-2015 |
20150220805 | IMAGE FOREGROUND MATTING METHOD BASED ON NEIGHBORHOOD AND NON-NEIGHBORHOOD SMOOTHNESS PRIORS - The present invention discloses an image foreground matting method based on neighborhood and non-neighborhood smoothness priors. The method primarily comprises the steps of: interactively marking foreground points and background points; initializing α values of each unmarked pixel of the input image by a color sampling method, calculating confidence degree of the pixel, and admitting α values of pixels of which confidence degree is larger than a given threshold as known pixels; calculating data term weights, neighborhood smoothness constraint term weights and non-neighborhood smoothness constraint term weights of each pixel in the input image to construct graph patterns of all pixels of the input image; and according to a values of the known pixels, under the constraint of the graph patterns, solving probabilities that each pixel belongs to the foreground by minimizing the energy equation so as to obtain alpha mattes. | 08-06-2015 |