Abstract: In one implementation, a graphical object classification system includes an acquisition module, a signature generation module, and a classification module. The acquisition module accesses a representation of a graphical object. The signature generation module generates an appearance-invariant signature of the graphical object based on the representation. The classification module classifies the graphical object based on the appearance-invariant signature.

Abstract: A technique includes using a processor-based machine to determine a discrete color flow transformation to map target colors of a target object to source colors of a source object based at least in part on a first histogram indicating a color distribution of the target object and a second histogram of a color distribution indicating the source object. The technique includes determining a continuous color flow transformation to map the target colors to the source colors based at least in part on the discrete color flow transformation; and transforming the target colors of the target object to generate a third object based at least in part on the continuous color flow transformation.

Abstract: A technique includes representing an image to be segmented using a graph including vertices and edges, where a subset of the vertices is marked as belonging to a plurality of objects. The technique includes assigning weights to the edges based at least in part on color probability densities associated with the objects derived from the subset of vertices marked as belonging to the plurality of objects; and segmenting the image, including identifying boundaries of the objects based at least in part on the weights and the graph.

Abstract: Indications are received regarding which of plural outputs are preferred over others of the plural outputs. A continuous function is computed that satisfies constraints corresponding to the received indications and that satisfies a predefined criterion. Values of parameters are computed based on the continuous function, wherein the values of the parameters are useable in a process to generate an output.

Abstract: A technique includes representing an image to be segmented using a graph including vertices and edges, where a subset of the vertices is marked as belonging to a plurality of objects. The technique includes assigning weights to the edges based at least in part on color probability densities associated with the objects derived from the subset of vertices marked as belonging to the plurality of objects; and segmenting the image, including identifying boundaries of the objects based at least in part on the weights and the graph.

Abstract: A technique includes using a processor-based machine to determine a discrete color flow transformation to map target colors of a target object to source colors of a source object based at least in part on a first histogram indicating a color distribution of the target object and a second histogram of a color distribution indicating the source object. The technique includes determining a continuous color flow transformation to map the target colors to the source colors based at least in part on the discrete color flow transformation; and transforming the target colors of the target object to generate a third object based at least in part on the continuous color flow transformation.

Abstract: A computer implemented method of mapping values of source pixels (c(x)s) of a source image 2 onto target pixels (c(x)t) of a target image 4. In one image (2) or in respective images (2, 4) two different groups (Rs, Rt) of pixels are selected to be representative of target and source pixels according to their property values. Within the image or images, target pixels (x?T) and source pixels (x?S) are selected which match the selected representative target and source pixels according to the property values thereof. The distributions of values of properties associated with the source pixels and target pixels are calculated. New property values are mapped onto the target pixels according to a transform which minimises an overall closeness measure between the source distribution and the target distribution.

Abstract: An audiovisual editing system that permits a journalist and other editors to edit both audiovisual and corresponding text segments included in a story. The data structure representing a story includes a list of media segments and a list of corresponding text segments. Each media segment has a type, such as script, SOT and voice, and includes a list of video clips. Each SOT segment or voice segment includes a list of timing control elements that determine the length of a media segment. The difference in the duration of the audiovisual material and the duration of the related text may be displayed to the editor, making it easier for the editor to match video to a script. Similarly, the duration of voice and SOT clips can be displayed to the editor, making it easier for the editor to match the video to the audio.

Abstract: To address needs of journalists and other editors, an audiovisual editing system associates segments of audiovisual materials with segments of related text. The editing system permits an editor to edit both the audiovisual materials of the segments and to edit the related text. The data structure representing the story includes a list of media segments and a list a text segments and a correspondence among the segments. Each media segment has a type, such as script, SOT and voice, and includes a list of video clips. These data structures enable the editing system to provide a simple and intuitive interface for editing a story, and can be transformed in a straightforward manner into a conventional, multitrack sequence used to represent an audiovisual composition. The editing system automatically defines parameters, such as designating the correct audio tracks, which minimize the chance for errors and speeds the workflow. Automatic ducking of these tracks also can be provided.