Invention Grant
- Patent Title: Art image characterization and system training in the loupe art platform
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Application No.: US16696265Application Date: 2019-11-26
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Publication No.: US11238091B2Publication Date: 2022-02-01
- Inventor: Dot Bustelo , Miguel Alvarado , Randy Etheredge
- Applicant: Loupe, Inc.
- Applicant Address: US GA Atlanta
- Assignee: Loupe, Inc.
- Current Assignee: Loupe, Inc.
- Current Assignee Address: US GA Atlanta
- Agency: Alston & Bird LLP
- Main IPC: G06F16/55
- IPC: G06F16/55 ; G06K9/62 ; G06K9/46 ; G06F16/583 ; G06F16/538 ; G06F16/535 ; G06F16/54 ; G06Q30/06

Abstract:
The Loupe system defines Loupe Visual Art DNA for art images to be presented to a user so as to maximize and customize the user experience in viewing art images delivered onto digital displays, TVs and other screens facilitating the artwork transition with and without human interaction. The Loupe system recommendations engine utilizes both human and machine curated data to determine factors of art images that will appeal to a user viewing the images. The Loupe system gathers data about visual perception, historical and academic provenance, and emotion or intention represented in an image. The gathered data is analyzed through deep learning and Al algorithms to inform recommendations and select art images to be presented to a user. The user may purchase fine art prints or select originals of the artwork image displayed, if the artist elects to make it available for sale, presented from the Loupe integrated electronic marketplace.
Public/Granted literature
- US20200167381A1 Art Image Characterization and System Training in the Loupe Art Platform Public/Granted day:2020-05-28
Information query