发明授权
- 专利标题: Method for image processing for content detection with sparse zone salient features
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申请号: US15899301申请日: 2018-02-19
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公开(公告)号: US10540537B2公开(公告)日: 2020-01-21
- 发明人: Christiaan Erik Rijnders
- 申请人: COGISEN S.R.L.
- 申请人地址: IT Naples
- 专利权人: COGISEN S.R.L.
- 当前专利权人: COGISEN S.R.L.
- 当前专利权人地址: IT Naples
- 代理机构: Steinfl + Bruno, LLP
- 优先权: EP17156741 20170217
- 主分类号: G06K9/00
- IPC分类号: G06K9/00 ; G06K9/52 ; G06F17/16 ; G06K9/62 ; G06F17/11
摘要:
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.
公开/授权文献
- US20180239952A1 METHOD FOR IMAGE PROCESSING FOR CONTENT DETECTION 公开/授权日:2018-08-23
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