Abstract: A particular implementation accesses a disparity value for a particular location in a picture, the disparity value indicating disparity with respect to a particular resolution. The particular implementation modifies the accessed disparity value based on multiple resolutions to produce a modified disparity value. Another implementation accesses a disparity value for a particular location in a picture, the picture having a particular resolution, and the disparity value indicating disparity with respect to another resolution that is different from the particular resolution and that is based on multiple resolutions. A further implementation modifies the accessed disparity value to produce a modified disparity value indicating disparity with respect to the particular resolution.

Abstract: A method and an apparatus for generating a superpixel cluster for an image or a sequence of images. A primary clustering unit generates a primary superpixel cluster using a fixed reference superpixel, whereas a secondary clustering unit generates two or more secondary superpixel clusters using a propagating reference superpixel. A combining unit then combines intersections between the primary superpixel cluster and the two or more secondary superpixel clusters to generate a final superpixel cluster.

Abstract: Method and apparatus for generating superpixel clusters A method and an apparatus (20) for generating a superpixel cluster for an image are described. A clustering unit (23) generates (10) an initial superpixel cluster based on an initial cluster center. The clustering unit (23) further generates (12) one or more further superpixel clusters based on one or more further cluster centers. A determining unit (24) determines (11) the one or more further cluster centers from the initial superpixel cluster. A merger (25) then merges (13) the initial superpixel cluster and the one or more further superpixel clusters to obtain the superpixel cluster for the image.

Abstract: A method and an apparatus for generating superpixels for a sequence of images are described. A segmenter segments an image of the sequence of images into a set of initial superpixels. A motion analyzer then determines static and non-static areas in the sequence of images. Based on an output of the motion analyzer the segmenter generates updated superpixels for non-static areas of the sequence of images, and maintains those superpixels of the set of initial superpixels belonging to static areas of the sequence of images.

Abstract: A method and an apparatus (20) for up-scaling an input image (12) are described, wherein a cross-scale self-similarity matching using superpixels is employed to obtain substitutes for missing details in an up-scaled image. The apparatus (20) comprises a superpixel vector generator (7) configured to generate (10) consistent superpixels for the input image (12) and one or more auxiliary input images (I1, I3) and to generate (11) superpixel test vectors based on the consistent superpixels. A matching block (5) performs a cross-scale self-similarity matching (12) across the input image (12) and the one or more auxiliary input images (I1, I3) using the superpixel test vectors. Finally, an output image generator (22) generates (13) an up-scaled output image (O2) using results of the cross-scale self-similarity matching (12).

Abstract: A method for pixel mapping between an origin superpixel in a first image and a target superpixel in a second image and an apparatus configured to perform the method. The apparatus comprises a feature vector determining unit, which determines a feature vector of an origin pixel of the origin superpixel and which further determines feature vectors of target pixels of the target superpixel. A mapping pixel selector selects a mapping pixel for the origin pixel among the target pixels based on a comparison of the feature vectors.

Abstract: In some example embodiments, there is provided a method. The method may include determining whether a communication terminal is within range of a wireless gateway to enable connection establishment between the wireless gateway and the communication terminal; and establishing at least one connection between the wireless gateway and the communication terminal, when the communication terminal is determined to be within range. Related systems, methods, and articles of manufacture are also described.

Abstract: A method and an apparatus for generating temporally and multi-view consistent superpixels for a sequence of multi-view images. A sequence generator generates an ordered sequence of views forming a joined path from views of a first multi-view capture and views of a second multi-view capture, wherein in the joined path the views of the second multi-view capture have an order which is a reverse of an order of the views of the first multi-view capture. A superpixel generator then applies an algorithm for generating temporally consistent superpixels for the ordered sequence of views.

Abstract: A method and an apparatus for generating a superpixel cluster for an image or a sequence of images. A primary clustering unit generates a primary superpixel cluster using a fixed reference superpixel, whereas a secondary clustering unit generates two or more secondary superpixel clusters using a propagating reference superpixel. A combining unit then combines intersections between the primary superpixel cluster and the two or more secondary superpixel clusters to generate a final superpixel cluster.

Abstract: A method and an apparatus for generating a confidence map for a disparity map associated to a set of two or more images are described. Motion between at least two subsequent sets of two or more images is determined. Based on the determined motion information static and dynamic regions in the images of the sets of two or more images are detected and separated. A disparity change between a disparity value determined for a static region of a current image and a motion compensated disparity value of a previous image is determined. The result of the determination is taken into account for generating or refining a confidence map.

Abstract: A method for pixel mapping between an origin superpixel in a first image and a target superpixel in a second image and an apparatus configured to perform the method. The apparatus comprises a feature vector determining unit, which determines a feature vector of an origin pixel of the origin superpixel and which further determines feature vectors of target pixels of the target superpixel. A mapping pixel selector selects a mapping pixel for the origin pixel among the target pixels based on a comparison of the feature vectors.

Abstract: A method and an apparatus for generating superpixels for a sequence of images are described. A segmenter segments an image of the sequence of images into a set of initial superpixels. A motion analyzer then determines static and non-static areas in the sequence of images. Based on an output of the motion analyzer the segmenter generates updated superpixels for non-static areas of the sequence of images, and maintains those superpixels of the set of initial superpixels belonging to static areas of the sequence of images.

Abstract: A method and an apparatus for generating temporally consistent depth maps for an image are described. A first retrieving unit retrieves a representation of an image from the sequence of images by segmentation regions resulting from a temporally consistent over-segmentation. In addition, a second retrieving unit retrieves a depth map associated to the image. A projecting unit then projects the segmentation regions of the image into the depth map associated to the image. Finally, a modifying unit modifies depth values of the depth map within one or more of the projected segmentation regions.

Abstract: A method for identifying a sound source in an image or a sequence of images to be displayed is described. The method comprises: retrieving the image or the sequence of images; retrieving metadata provided for the image or the sequence of images, the metadata comprising at least one of information about a location of the sound source within the image or the sequence of images, information about position and size of a graphical identifier for identifying the sound source, and shape of the sound source; including a graphical identifier for the sound source in the image or the sequence of images using the information included in the metadata; and outputting the image or the sequence of images for display.

Abstract: A method and an apparatus for generating a confidence map for a disparity map associated to a set of two or more images are described. Motion between at least two subsequent sets of two or more images is determined. Based on the determined motion information static and dynamic regions in the images of the sets of two or more images are detected and separated. A disparity change between a disparity value determined for a static region of a current image and a motion compensated disparity value of a previous image is determined. The result of the determination is taken into account for generating or refining a confidence map.

Abstract: A solution for identifying an object in an image or a sequence of images is described. A segmenter separates a first image into superpixels. A set of grouped superpixels is determined from these superpixels by an analyzer or by a user input via a user interface. The set of grouped superpixels is sent to a search engine, which returns the results of a search performed by the search engine on the set of grouped superpixels.

Abstract: A particular implementation accesses a disparity value for a particular location in a picture, the disparity value indicating disparity with respect to a particular resolution. The particular implementation modifies the accessed disparity value based on multiple resolutions to produce a modified disparity value. Another implementation accesses a disparity value for a particular location in a picture, the picture having a particular resolution, and the disparity value indicating disparity with respect to another resolution that is different from the particular resolution and that is based on multiple resolutions. A further implementation modifies the accessed disparity value to produce a modified disparity value indicating disparity with respect to the particular resolution.