Abstract: A method, apparatus and computer-readable storage medium are provided to define a storyline based on path probabilities for a plurality of paths through the frames of a video. Relative to a method and for a plurality of frames of a video, regions of a first frame and regions of a second, subsequent frame that have been viewed are identified. For each of at least one first-frame region of one or more regions of the first frame, the method determines a transition probability of transitioning from a respective first-frame region of the first frame to each of at least one second-frame region of a plurality of regions of the second frame. Based on the transition probabilities, the method determines a path probability for each of at least one of a plurality of paths through the frames of the video. The method additionally defines a storyline based on the path probabilities.

Abstract: A method, apparatus and computer-readable storage medium are provided to define a storyline based on path probabilities for a plurality of paths through the frames of a video. Relative to a method and for a plurality of frames of a video, regions of a first frame and regions of a second, subsequent frame that have been viewed are identified. tified. For each of at least one first-frame region of one or more regions of the first frame, the method determines a transition probability of transitioning from a respective first-frame frame region of the first frame to each of at least one second-frame region of a plurality of regions of the second frame. Based on the transition probabilities, the method determines a path probability for each of at least one of a plurality of paths through the frames of the video. The method additionally defines a storyline based on the path probabilities.

Abstract: A method including automatically segmenting regions of images of a focal stack into segment regions; and based, at least partially, upon selection of one or more of the segment regions, generating a refocused image which induces different ones of the segment regions from at least two of the images of the focal stack. An apparatus including an image segmentator for a focal stack of images, where the image segmentator is configured to automatically form segment regions for each of the images; and a focal stack fuser configured to fuse the focal stack of images into a refocused image, where the refocused image comprises different ones of the segment regions from at least two of the images of the focal stack.

Abstract: A method comprises estimating disparity values for pixels located in an occluded region of a first one of a defocused pair of stereo images using: a first set of blur map data corresponding to the first one of the defocused pair of stereo images; a first set of disparity map data corresponding to the first one of the defocused pair of stereo images; and a first set of occlusion map data corresponding to the first one of the defocused pair of stereo images.

Abstract: In a method, a first image of a subject is taken from a first viewpoint. The first image of the subject is composed of a first plurality of pixels. A second image of the subject is taken from a second viewpoint. The second image of the subject is composed of a second plurality of pixels. Pixels in the first plurality of pixels in the first image correspond to pixels in the second plurality of pixels in the second image. Corresponding pixels lie on first epipolar lines in the first image and on second epipolar lines in the second image. The first and second images are rectified to make the first and second epipolar lines parallel to one another and to place corresponding pixels in the first and second images on one of a plurality of pairs of common scanlines. For at least one pair of common scanlines, a corresponding pixel is found in the second image for each pixel in the first image such that a visual perception matching cost (VPMC) is minimized.

Abstract: A method, apparatus and computer program product are provided to facilitate scene segmentation from focal stack images. The method may include receiving a set of focal stack images, calculating a focal measure for each of a plurality of pixels of the set of focal stack images, and grouping each of a plurality of pixels for which the focal measure was calculated into a plurality of super pixels. The method may also include calculating a focal measure for each of the plurality of super pixels, segmenting a respective focal stack image based on the focal measure of each of the plurality of super pixels, calculating a color probability for each of the plurality of super pixels, and segmenting each focal stack image based on color probability of each of the plurality of super pixels.

Abstract: A method including segmenting an image into different segments, where the segmenting is based at least partially upon an estimate of blur of areas of the image; and changing the segmenting of two or more of the sections based, at least partially, upon color in the image.

Abstract: A method including automatically segmenting regions of images of a focal stack into segment regions; and based, at least partially, upon selection of one or more of the segment regions, generating a refocused image which induces different ones of the segment regions from at least two of the images of the focal stack. An apparatus including an image segmentator for a focal stack of images, where the image segmentator is configured to automatically form segment regions for each of the images; and a focal stack fuser configured to fuse the focal stack of images into a refocused image, where the refocused image comprises different ones of the segment regions from at least two of the images of the focal stack.

Abstract: A method including segmenting an image into different segments, where the segmenting is based at least partially upon an estimate of blur of areas of the image; and changing the segmenting of two or more of the sections based, at least partially, upon color in the image.

Abstract: A method comprises estimating disparity values for pixels located in an occluded region of a first one of a defocused pair of stereo images using: a first set of blur map data corresponding to the first one of the defocused pair of stereo images; a first set of disparity map data corresponding to the first one of the defocused pair of stereo images; and a first set of occlusion map data corresponding to the first one of the defocused pair of stereo images.

Abstract: In a method, a first image of a subject is taken from a first viewpoint. The first image of the subject is composed of a first plurality of pixels. A second image of the subject is taken from a second viewpoint. The second image of the subject is composed of a second plurality of pixels. Pixels in the first plurality of pixels in the first image correspond to pixels in the second plurality of pixels in the second image. Corresponding pixels lie on first epipolar lines in the first image and on second epipolar lines in the second image. The first and second images are rectified to make the first and second epipolar lines parallel to one another and to place corresponding pixels in the first and second images on one of a plurality of pairs of common scanlines. For at least one pair of common scanlines, a corresponding pixel is found in the second image for each pixel in the first image such that a visual perception matching cost (VPMC) is minimized.

Abstract: Systems and apparatus for white balance correction. A reference object appearing in a captured scene image is identified and a color transform is computed, based on known color balance information for the reference object. The color transform is based on a difference between color information for the reference object taken under known illumination and the apparent color balance of the reference object as it appears in the captured image. The color transform is applied to the captured image and a corrected image is created, based on applying the color transform to every pixel in the captured image.

Abstract: A method, apparatus and computer program product are provided to facilitate scene segmentation from focal stack images. The method may include receiving a set of focal stack images, calculating a focal measure for each of a plurality of pixels of the set of focal stack images, and grouping each of a plurality of pixels for which the focal measure was calculated into a plurality of super pixels. The method may also include calculating a focal measure for each of the plurality of super pixels, segmenting a respective focal stack image based on the focal measure of each of the plurality of super pixels, calculating a color probability for each of the plurality of super pixels, and segmenting each focal stack image based on color probability of each of the plurality of super pixels.