John J Mitch, Age 753568 Sunset Ln, Williamson, NY 14589

John Mitch Phones & Addresses

3568 Sunset Ln, Williamson, NY 14589 (585) 455-3309

1103 Marigold Dr, Webster, NY 14580 (585) 872-6279

Torrance, CA

Mentions for John J Mitch

Resumes & CV records

Resumes

John Mitch Photo 40

John Mitch

John Mitch Photo 41

John Lajustice Mitch

Work:
Asar Entertainment 2000 - 2005
Partner
John Mitch Photo 42

John Mitch

Publications & IP owners

Us Patents

Image Frame Detection

US Patent:
5414779, May 9, 1995
Filed:
Jun 14, 1993
Appl. No.:
8/076592
Inventors:
John Mitch - Webster NY
Assignee:
Eastman Kodak Company - Rochester NY
International Classification:
G06K 900
US Classification:
382199
Abstract:
Locations of respective image frames contained on an image recording, such as a continuous color photographic film strip scanned by digitizing opto-electronic scanner are identified by storing scanline data produced by the scanner in a digital database, and processing the stored scanline data to generate a predictor space which is used to identify locations of all the minimally valid frames. Thereafter, the well formed image frames are used to produce statistics which are used to detect the location of other frames.

Iterative Predictor-Based Detection Of Image Frame Locations

US Patent:
5596415, Jan 21, 1997
Filed:
Jun 14, 1993
Appl. No.:
8/076523
Inventors:
Patrick A. Cosgrove - Honeoye Falls NY
John Mitch - Webster NY
Mark Niedzielski - Fairport NY
Assignee:
Eastman Kodak Company - Rochester NY
International Classification:
B41J 247
G03B 2752
H04N 121
H04N 123
US Classification:
358296
Abstract:
Locations of respective image frames contained on an image recording, such as a continuous color photographic film strip scanned by digitizing opto-electronic scanner are identified by storing scanline data produced by the scanner in a digital database, and processing the stored scanline data in accordance with set of image frame identification operators, which iteratively identify locations of nominally valid frames, beginning with the identification of all well formed frames. Each well formed frame has prescribed image frame attributes including at least a spatial region of image modulance bounded by leading and trailing edges adjacent to Dmin interframe gaps. The iterative identification procedure includes `chopping` less than well formed frames, sorting frame regions based upon geometry considerations and identifying and adjusting the size of oversized and undersize frames. To reduce computational complexity a set of image frame-based `predictors` and an associated set of thresholds are used in the iterative search and sort process.

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