Abstract: An apparatus having at least one processor and at least one memory, the apparatus configured to display a first element associated with content, the memory having computer-readable code stored therein which when executed causes the at least one processor to cause a plurality of second elements to be displayed in response to an input, wherein each second element is associated with a part of the content associated with the first element. The code, when executed may further cause editing of one or more of the second elements in response to an action in relation to one of the plurality of second elements, wherein said action comprises a sliding input.

Abstract: An apparatus having at least one processor and at least one memory, the apparatus configured to display a first element associated with content, the memory having computer-readable code stored therein which when executed causes the at least one processor to cause a plurality of second elements to be displayed in response to an input, wherein each second element is associated with a part of the content associated with the first element. The code, when executed may further cause editing of one or more of the second elements in response to an action in relation to one of the plurality of second elements, wherein said action comprises a sliding input.

Abstract: Apparatus, the apparatus having at least one processor and at least one memory having computer-readable code stored therein which when executed controls the at least one processor to perform a method comprising: causing a first element to be displayed, the first element associated with content; in response to an input in relation to the first element, causing a plurality of second elements to be displayed, each second element associated with one of a plurality of parts of the content, wherein the number of second elements is dependent upon a property of the input; and, in response to an input in relation to one or more of the plurality of second elements, carrying out an action.

Abstract: Apparatus, the apparatus having at least one processor and at least one memory having computer-readable code stored therein which when executed controls the at least one processor to perform a method comprising: causing a first element to be displayed, the first element associated with content; in response to an input in relation to the first element, causing a plurality of second elements to be displayed, each second element associated with one of a plurality of parts of the content, wherein the number of second elements is dependent upon a property of the input; and, in response to an input in relation to one or more of the plurality of second elements, carrying out an action.

Abstract: Disclosed is a method of detecting a predetermined mark embedded in an image. The mark (29) comprises a predetermined arrangement of a plurality of elements (30), each element having a predetermined colour characteristic and predetermined shape. The method processes (20) the image to provide an encoded representation of the image at a predetermined resolution (eg. 200 dpi). The coordinate positions for substantially each of the elements of the mark embedded in the image are detected (22), wherein the detection is characterised by applying at least one mask (80) to substantially each pixel of the encoded representation. From the coordinate positions, a set of spatial features representing a spatial arrangement of the detected elements are then determined (23). The determined set of spatial features is then compared (24) to a known set of spatial features to provide a confidence level measure for a degree of matching between the known set and the determined set of spatial features.

Abstract: The present invention provides a method and apparatus for detecting in an image text-like portions and non-text-like portions. The method includes the steps of establishing a set of fuzzy detection rules for distinguishing text-like portions of an image from non-text-like portions of an image, dividing the test image into a plurality of segment, and applying the set of fuzzy detection rules to each segment of the test image to thereby classify each segment as text-like or non-text-like. Preferably, the establishing step includes the sub-steps of identifying a plurality of image features that distinguish different portions of an image, generating a plurality of fuzzy detection rules by applying different combinations of the features to a text-like learning image and to a non-text-like learning image, and minimizing the rules to exclude those rules not supported by a predetermined amount of the learning images, and allocating the non-excluded rules to the set.

Abstract: A novel human GTPase polypeptide intracellular molecular switch is described. A full length cDNA which encodes the signal transduction polypeptide is disclosed as well as the interior structural region and the amino acid residue sequence of the human GTPase. Methods are provided to identify compounds that modulate the biological activity of the native signal switch biomolecule and hence regulate cellular and tissue physiology.