Invention Grant
- Patent Title: Automatic detection and transfer of relevant image data to content collections
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Application No.: US17170697Application Date: 2021-02-08
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Publication No.: US12008032B2Publication Date: 2024-06-11
- Inventor: Dylan Marriott , Daniel Nicolae , Ruben Bakker , Alexander Pashintsev , Zdzislaw Pawel Losvik , Eugene Livshitz , Vitaly Glazkov , Boris Gorbatov , Ilya Buryak
- Applicant: Bending Spoons S.p.A.
- Applicant Address: IT Milan
- Assignee: Bending Spoons S.p.A.
- Current Assignee: Bending Spoons S.p.A.
- Current Assignee Address: IT Milan
- Agency: Morgan, Lewis & Bockius LLP
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/2455 ; G06F16/2457 ; G06F16/40 ; G06F16/432 ; G06F16/51 ; G06F16/55 ; G06F16/58 ; G06F16/583 ; G06Q30/02

Abstract:
This application is directed to a method for automatically identifying and transferring relevant image data. The method includes obtaining a plurality of content items from a personal content collection and determining attributes based on the plurality of content items. The method includes generating a plurality of relevance rules. The method further includes obtaining unclassified content items and determining for a first unclassified content item a plurality of aggregate relevance scores using the plurality of relevance rules. The method include determining whether a first aggregate relevance score and/or a second aggregate relevance score satisfy threshold score. The method includes, in accordance with a determination that the first aggregate relevance score and the second aggregate relevance score do not satisfy the threshold score, forgoing determining the attributes corresponding to the first unclassified content item, and storing the first unclassified content item in a candidate list of the personal content collection.
Public/Granted literature
- US20210240757A1 Automatic Detection and Transfer of Relevant Image Data to Content Collections Public/Granted day:2021-08-05
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