Susan R Corwin

US Patent:

6529635, Mar 4, 2003

Filed:

Dec 15, 1997

Appl. No.:

08/990419

Inventors:

Susan Julia Corwin - Portland OR
Thomas D. Fletcher - Portland OR

Assignee:

Intel Corporation - Santa Clara CA

International Classification:

G06K 936

US Classification:

382243, 382199, 382253

Abstract:

A method and apparatus for compressing a digitized image. Boundaries of regions within a digitized image are identified. Shapes are selected from a bank of shapes based on the identified boundaries to represent the regions. Position and size information based on the position and size of the regions within the digitized image are associated with the selected shapes. Values are transmitted indicating the selected shapes and the associated position and size information as a representation of the digitized image.

US Patent:

58999744, May 4, 1999

Filed:

Dec 31, 1996

Appl. No.:

8/775786

Inventors:

Susan J. Corwin - Portland OR
David J. Kaplan - Santa Clara CA
Thomas D. Fletcher - Portland OR

Assignee:

Intel Corporation - Santa Clara CA

International Classification:

G10L 500

US Classification:

704258

Abstract:

A method for compressing speech. An audio signal comprising speech is broken down into its phonetic components. These phonetic components are then converted into data elements that represent each of the phonetic components. The determination of data elements is accomplished using a predefined table that correlates phonetic sounds to data elements. The data elements representing the phonetic sounds are then stored.

US Patent:

58082255, Sep 15, 1998

Filed:

Dec 31, 1996

Appl. No.:

8/777250

Inventors:

Susan J. Corwin - Portland OR
David J. Kaplan - Santa Clara CA
Thomas D. Fletcher - Portland OR

Assignee:

Intel Corporation - Santa Clara CA

International Classification:

G10H 700

US Classification:

84622

Abstract:

A method for compressing music into a digital format. An audio signal that corresponds to music is received and converted from an analog signal to a digital signal. The audio signal is analyzed, and a tone is identified. The musical note and instrument that correspond to the tone are determined, and data elements that represent the musical note and instrument are then stored.