Invention Grant
- Patent Title: Method for image processing for content detection with sparse zone salient features
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Application No.: US15899301Application Date: 2018-02-19
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Publication No.: US10540537B2Publication Date: 2020-01-21
- Inventor: Christiaan Erik Rijnders
- Applicant: COGISEN S.R.L.
- Applicant Address: IT Naples
- Assignee: COGISEN S.R.L.
- Current Assignee: COGISEN S.R.L.
- Current Assignee Address: IT Naples
- Agency: Steinfl + Bruno, LLP
- Priority: EP17156741 20170217
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/52 ; G06F17/16 ; G06K9/62 ; G06F17/11

Abstract:
A method for content detection based on images or a digital video stream of images, to enhance and isolate frequency domain signals representing content to be identified, and decrease or ignore frequency domain noise with respect to the content. A digital image or sequence of digital images defined in a spatial domain are obtained. One or more pairs of sparse zones are selected, each pair generating a feature, each zone defined by two sequences of spatial data. The selected features are transformed into frequency domain data. The transfer function, shape and direction of the frequency domain data are varied for each zone, thus generating a normalized complex vector for each feature. The normalized complex vectors are then combined to define a model of the content to be identified.
Public/Granted literature
- US20180239952A1 METHOD FOR IMAGE PROCESSING FOR CONTENT DETECTION Public/Granted day:2018-08-23
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