Abstract:
Various embodiments are disclosed for selecting a region of interest within an object. One embodiment is a method for editing a digital image in an image editing device. The method comprises obtaining a first position within a digital image, the first position being specified by a pointer. The method further comprises defining a first selection region based on the first position and obtaining a second position within the digital image, the second position being specified by the pointer. The method further comprises determining movement of the pointer between the first position and the second position and predicting future movement by the pointer based on the determined movement. Based on the determined movement and the predicted future movement, the first selection region is expanded to define a second selection region.
Abstract:
In one embodiment, an image editing method, comprising: defining a region as a foreground object and a remaining region as background; applying an image warping process to a predefined object region, wherein a distortion to at least the remaining region occurs based on the image warping process applied to the predefined object region; responsive to the image warping process, determining a region to be repaired, the region to be repaired comprising a missing background; repairing the region to be repaired based on an inpainting process; and generating a repaired image by combining the predefined object region to which the image warping process is applied, one or more non-distorted regions, and the repaired region.
Abstract:
Various embodiments are disclosed for performing image inpainting. One embodiment is a method for editing a digital image in an image editing device. The method comprises obtaining a restoration region in the digital image and determining texture information corresponding to the restoration region. Based on the texture information, a texture strength map is generated corresponding to the restoration region. Based on the texture strength map, an inpainting operation is applied to pixels in the restoration region.
Abstract:
Various embodiments are disclosed for selecting a region of interest within an object. One embodiment is a method for editing a digital image in an image editing device. The method comprises obtaining a first position within a digital image, the first position being specified by a pointer. The method further comprises defining a first selection region based on the first position and obtaining a second position within the digital image, the second position being specified by the pointer. The method further comprises determining movement of the pointer between the first position and the second position and predicting future movement by the pointer based on the determined movement. Based on the determined movement and the predicted future movement, the first selection region is expanded to define a second selection region.
Abstract:
Various embodiments are disclosed for performing image inpainting. One embodiment is a method for editing a digital image in an image editing device that comprises obtaining a restoration region in the digital image and generating a structure strength map corresponding to the restoration region based on structure characteristics associated with each pixel in the restoration region. Based on the structure strength map, priority levels are determined for pixels in the restoration region. An inpainting operation is applied to the pixels in the restoration region, beginning with a pixel having a highest relative priority determined based on the structure characteristics.
Abstract:
A method for tracking an object in a plurality of frames includes obtaining a contour of an object in a frame. For each remaining frame among the plurality of frames, the following steps are performed. A probability map generator generates a plurality of probability maps containing probability values for one or more pixels for a current frame. A contour is estimated for the current frame based on the plurality of probability maps. User input is obtained for refining the estimated contour. Based on the user input, one or more local regions to be added and/or removed are identified and recorded in a local region list. The local region list is maintained and updated during the tracking process and is used together with the probability map generator.
Abstract:
Various embodiments are disclosed for image editing. A frame is obtained from a frame sequence depicting at least one individual, and facial characteristics in the frame are analyzed. A utilization score is assigned to the frame based on the detected facial characteristics, and a determination of whether to utilize the frame is made based on the utilization score. A completeness value is assigned, and a determination is made based on the completeness value of whether to repeat the steps above for an additional frame in the frame sequence based on the completeness value. Regions from the frames are combined to generate a composite image.
Abstract:
Various embodiments are disclosed for performing inpainting. One embodiment is a method for editing a digital image in an image editing device. The method comprises obtaining an inpainting region in the digital image, determining a target resolution for scaling a resolution of the digital image based on an original resolution of the digital image, and determining an intermediate resolution level for scaling a resolution of the digital image based on the target resolution. The method further comprises scaling the resolution of the digital image to the intermediate resolution level, performing partial inpainting of the inpainting region at the intermediate resolution, and performing inpainting on a remainder portion in the inpainting region at a final target resolution.
Abstract:
Various embodiments are disclosed for image editing. A frame is obtained from a frame sequence depicting at least one individual, and facial characteristics in the frame are analyzed. A utilization score is assigned to the frame based on the detected facial characteristics, and a determination of whether to utilize the frame is made based on the utilization score. A completeness value is assigned, and a determination is made based on the completeness value of whether to repeat the steps above for an additional frame in the frame sequence based on the completeness value. Regions from the frames are combined to generate a composite image.
Abstract:
Various embodiments are disclosed for performing image inpainting. One embodiment is a method for editing a digital image in an image editing device that comprises obtaining a restoration region in the digital image and generating a structure strength map corresponding to the restoration region based on structure characteristics associated with each pixel in the restoration region. Based on the structure strength map, priority levels are determined for pixels in the restoration region. An inpainting operation is applied to the pixels in the restoration region, beginning with a pixel having a highest relative priority determined based on the structure characteristics.