Appeal No. 2005-0338
Application No. 10/003,840
information.” Thus, the scope of the claims includes that information defined by a mark
up language is modified to reduce either the intensity or number of bright pixels, or both.
As stated above, we concur with the examiner’s statement concerning the
teaching of Reinhardt. Reinhardt’s teaching is to reduce power consumed by a display
by reducing power to all pixels but “important pixels.” The program running on the
computer can determine the important pixels or, if the program does not determine
important pixels, the power to all pixels but those proximate the cursor will be reduced.
(See column 6, lines 14-19 and lines 38-49). Reinhardt teaches that the reduction in
power is achieved by reducing the refresh rate or the frame rate of the panel. (See
column 4, lines 29-41). We find, as the examiner states on page 13 of the answer, that
Reinhardt does not teach modifying tags or parameters associated with tags of
formatted information defined by a markup language.
We concur with the examiner that Helman teaches a system to reduce the
artifacts in an image generated by a computer, such as a web page, for presentation on
a color television. (See column 2, lines 35-46 and lines 57-65). We find that Helman
teaches that the web pages, Hyper Text Markup Language (HTML) documents, contain
tags, which set colors to be displayed in the web page. (See column 4, lines 51-59).
Helman’s method reduces artifacts by adjusting the chrominance of the image to reduce
the difference between the foreground chrominance and the background chrominance;
we do not find that Helman has a bias toward increasing or decreasing the brightness or
the number of the pixels in adjusting the chrominance. (See column 3, lines 37-45).
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