Andrew J Wahlquist, Age 469376 Bigby St, Downey, CA 90241

Andrew Wahlquist Phones & Addresses

9376 Bigby St, Downey, CA 90241

9250 Brookshire Ave, Downey, CA 90240 (562) 622-1863

La Mirada, CA

17432 Rainier St, Santa Ana, CA 92705 (714) 573-9769

Work

Company: Aerie productions Address: 9250 Brookshire Ave #101, Downey, CA 90239 Position: Partner Industries: Liquefied Petroleum Gas (Bottled Gas) Dealers

Mentions for Andrew J Wahlquist

Andrew Wahlquist resumes & CV records

Resumes

Andrew Wahlquist Photo 17

Manager, Technical Operations, Lts

Location:
9376 Bigby St, Downey, CA 90241
Industry:
Motion Pictures And Film
Work:
Local Hero Post since Sep 2010
Chief Technologist
Aerie Productions since May 1997
Director/Owner
Education:
Biola University 1996 - 2000
BA, Communications, Radio-TV-Film
Skills:
Producing, Digital Cinema, Screenplays, Video Production, Feature Films, Visual Effects, Script Coverage, Video Editing, Music, Motion Graphics, Video, Screenwriting, Independent Film, Film Editing, Assimilate Scratch, Entertainment, Editing, Hd Video, Post Production, Final Cut Pro, Film, Documentaries, Commercials, Television, Adobe Creative Suite, Directing, Film Production, Short Films, Storytelling
Interests:
Hd/Digital Film Technology
Music and Sound Recording
Theatre
Filmmaking
Arts and Culture
Languages:
English
Andrew Wahlquist Photo 18

Chief Technologist At Local Hero Post

Location:
Greater Los Angeles Area
Industry:
Motion Pictures and Film

Publications & IP owners

Us Patents

Machine Learning Color Science Conversion

US Patent:
2020011, Apr 9, 2020
Filed:
Mar 18, 2019
Appl. No.:
16/356840
Inventors:
- Burbank CA, US
Nimesh C. NARAYAN - Los Angeles CA, US
Kari M. GRUBIN - Woodland Hills CA, US
Andrew J. WAHLQUIST - Downey CA, US
International Classification:
G09G 5/06
G06K 9/00
G06T 7/90
G06N 20/00
Abstract:
Techniques are disclosed for converting image frames from one color space to another while predicting artistic choices that a director, colorist, or others would make. In one configuration, a color conversion application receives image frames, an indication of color spaces to convert between, and metadata associated with the image frames and/or regions therein. The conversion application determines a global, base color conversion for the image frames using a predefined color space transformation. Then, the conversion application (optionally) extracts image regions depicting objects of interest in the image frames, after which the color conversion application processes each of the extracted image regions and the remaining image frames (after the extracted regions have been removed) using one or more functions determined using machine learning. The processed extracted regions and remainders of the image frames are then combined by the color conversion application for output.

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