| Patent application number | Description | Published |
| 20090002374 | ERROR METRICS FOR CHARACTERS - Generating an error from an error metric quantifying differences between reference objects representing characters and representations of the reference objects. One embodiment includes a method which includes accessing a reference object representing a character. One or more reference object characteristics are quantified. The reference object characteristics are related to character structural and color information of at least a portion of the reference object to generate a reference object metric. A representation object of the reference object is accessed. One or more representation object characteristics are quantified to create a representation object metric. The representation object characteristics are related to character structural and color information of a portion of the representation object of the reference object corresponding to the portion of the reference object. An error is calculated based on a difference between the reference object metric and the representation object metric. The error is output to a user. | 01-01-2009 |
| 20090003711 | OPTIMIZING CHARACTER RENDERING - Optimizing objects output to a user. One method includes accessing a reference object of a character representing an idealized output. A different representation of the reference object is accessed. The reference object is compared to the representation of the reference object to generate an error metric. An optimization is applied to the representation of the reference object. The optimization is directed to causing the representation of the reference object to more closely approximate the reference object. Comparing objects and applying optimizations is repeated until an acceptable representation of the reference object is achieved. The acceptable representation of the reference object is displayed. | 01-01-2009 |
| 20090009529 | ADAPTIVE CONTEXTUAL FILTERING - Selectively applying graphical filtering to a portion of an object. One method described herein includes a method including accessing an object to be rendered. At least one characteristic of a portion of the object is determined. A filter is selected that has been pre-specified for the at least one determined characteristic. The filter is applied to the portion of the object, while not applying the filter to at least one other portion of the object. | 01-08-2009 |
| 20110018894 | ADAPTIVE CONTEXTUAL FILTERING BASED ON OBSERVER COLORBLINDNESS CHARACTERISTICS - Selectively applying graphical filtering to characters can include the identification of observer characteristics and characteristics associated with different portions of the character. Corresponding filters can then be identified and selectively applied to the characters and, in some instances, without applying the filter to the entire character. | 01-27-2011 |
| 20110018900 | ADAPTIVE CONTEXTUAL FILTERING BASED ON TYPOGRAPHICAL CHARACTERISTICS - Selectively applying graphical filtering to a portion of an object can include accessing an object to be rendered and identifying at least one characteristic of a portion of the object. A corresponding filter is then selectively applied to the at least one determined characteristic and, in some instances, without applying the filter to at least one other portion of the object. | 01-27-2011 |
| 20110096086 | ERROR METRICS FOR CHARACTERS - Generating an error from an error metric quantifying differences between reference objects representing characters and representations of the reference objects. One embodiment includes a method which includes accessing a reference object representing a character. One or more reference object characteristics are quantified. The reference object characteristics are related to character structural and color information of at least a portion of the reference object to generate a reference object metric. A representation object of the reference object is accessed. One or more representation object characteristics are quantified to create a representation object metric. The representation object characteristics are related to character structural and color information of a portion of the representation object of the reference object corresponding to the portion of the reference object. An error is calculated based on a difference between the reference object metric and the representation object metric. The error is output to a user. | 04-28-2011 |