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公开(公告)号：US20210299706A1
公开(公告)日：2021-09-30
申请号：US17214455
申请日：2021-03-26
Applicant: Digimarc Corporation
Inventor： Tomas Filler , Vojtech Holub , Ravi K. Sharma , Tony F. Rodriguez , Osama M. Alattar , Adnan M. Alattar , John D. Lord , Brian Johnson , David Ruotolo , Geoffrey B. Rhoads , Hugh L. Brunk , Vahid Sedighianaraki
IPC: B07C5/342 , H04N5/235 , H04N5/225 , H04N7/18 , G06T1/00 , G06K9/62 , G06T7/90 , G06T7/00 , B65G47/49 , B07C5/34 , G05B13/02
Abstract: Images depicting items in a waste flow on a conveyor belt are provided to two analysis systems. The first system processes images to decode digital watermark payload data found on certain of the items (e.g., plastic containers). This payload data is used to look up corresponding attribute metadata for the items in a database, such as the type of plastic in each item, and whether the item was used as a food container or not. The second analysis system can be a spectroscopy system that determines the type of plastic in each item by its absorption characteristics. When the two systems conflict in identifying the plastic type, a sorting logic processor applies a rule set to arbitrate the conflict and determine which plastic type is most likely. The item is then sorted into one of several different bins depending on a combination of the final plastic identification, and whether the item was used as a food container or not. A variety of other features and arrangements are also detailed.
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32.发明授权公开(公告)号：US11080006B2
公开(公告)日：2021-08-03
申请号：US16665906
申请日：2019-10-28
Applicant: Digimarc Corporation
Inventor： Ravi K. Sharma , Shankar Thagadur Shivappa , Osama M. Alattar , Brett A. Bradley , Scott M. Long , Ajith M. Kamath , Vojtech Holub , Hugh L. Brunk , Robert G. Lyons , Aparna R. Gurijala
Abstract: Methods and arrangements involving electronic devices, such as smartphones, tablet computers, wearable devices, etc., are disclosed. One arrangement involves a low-power processing technique for discerning cues from audio input. Another involves a technique for detecting audio activity based on the Kullback-Liebler divergence (KLD) (or a modified version thereof) of the audio input. Still other arrangements concern techniques for managing the manner in which policies are embodied on an electronic device. Others relate to distributed computing techniques. A great variety of other features are also detailed.
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Patent Agency Ranking
公开(公告)号：US10902539B2
公开(公告)日：2021-01-26
申请号：US15446811
申请日：2017-03-01
Applicant: Digimarc Corporation
Inventor： Tony F. Rodriguez , Osama M. Alattar , Hugh L. Brunk , Joel R. Meyer , William Y. Conwell , Ajith Mulki Kamath
Abstract: A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements—some involving designing classifiers so as to combat classifier copying—are also detailed.
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34.发明授权公开(公告)号：US09959587B2
公开(公告)日：2018-05-01
申请号：US15211944
申请日：2016-07-15
Applicant: Digimarc Corporation
Inventor： Ravi K. Sharma , John D. Lord , Robert G. Lyons , Osama M. Alattar , Jacob L. Boles
CPC classification number: G06T1/0064 , G06K9/6206 , G06T3/0006 , G06T3/0056 , G06T2201/0052 , G06T2201/0065 , G06T2201/0081
Abstract: Signal processing devices and methods estimate a geometric transform of an image signal. From a seed set of transform candidates, a method applies a seed transform candidate to a reference signal. For each candidate, update coordinates of reference signal features are identified in the image signal and provided as input to a least squares method to compute an update to the transform candidate. At the end of the process, the method identifies a geometric transform or set of top transforms based on a further analysis of correlation, as well as other results. Phase characteristics are exploited in the process of updating coordinates. The geometric transform is used to facilitate extracting embedded digital messages from the image.
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公开(公告)号：US09594983B2
公开(公告)日：2017-03-14
申请号：US14449821
申请日：2014-08-01
Applicant: Digimarc Corporation
Inventor： Osama M. Alattar , William Y. Conwell
CPC classification number: G06T1/0021 , G06F21/16 , G06K9/00671 , G06K9/3216 , G06K9/6256 , G06K9/6259 , G06K9/627
Abstract: A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements—some involving designing classifiers so as to combat classifier copying—are also detailed.
Abstract translation: 描绘对象的图像序列例如通过零售商店中的销售点终端处的相机被捕获。 识别对象，例如通过从一个或多个图像检测到的条形码或水印。 一旦对象的身份被知道，这样的信息被用于训练分类器（例如，机器学习系统）以从其他捕获的图像识别对象，包括可能由于模糊，劣质照明等而降级的图像。在另一个 处理这种退化的图像以识别在对象的基于指纹的识别中有用的特征点。 从这种退化的图像提取的特征点有助于在现实生活环境下的对象的基于指纹的识别，与从原始图像提取的特征点（例如，包含用于这些对象的标签图案的数字文件）相反。 其他各种功能和布置也有所不同，其中一些涉及设计分类器，以防止分类器复制。
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公开(公告)号：US20170039669A1
公开(公告)日：2017-02-09
申请号：US15232388
申请日：2016-08-09
Applicant: Digimarc Corporation
Inventor： Osama M. Alattar , Adnan M. Alattar
CPC classification number: G06T1/005 , G06K9/00744 , G06T2201/0051 , G06T2201/0061 , G06T2201/0065 , H04N1/32203 , H04N1/32267 , H04N1/32288 , H04N1/32352
Abstract: The present invention relates generally to digital watermarking. One aspect of the disclosure includes a method comprising: obtaining data representing imagery; using one or more configured processors, analyzing a plurality of portions of the data to detect a watermark orientation component, said analyzing employing a match filter, in which the match filter yields a correlation value for each of the plurality of portions; determining a first portion from the plurality of portions that comprises a correlation value meeting a predetermined value; and directing a watermark decoder at the first portion to decode a plural-bit watermark payload, in which the watermark decoder produces a watermark signature for the first portion, and in which the watermark decoder searches a plurality of areas at or around the first portion to decode the plural-bit watermark payload. Of course, many other aspects and disclosure are provided in this patent document.
Abstract translation: 本发明一般涉及数字水印。 本公开的一个方面包括一种方法，包括：获得表示图像的数据; 使用一个或多个配置的处理器，分析数据的多个部分以检测水印定向分量，所述分析采用匹配滤波器，其中匹配滤波器产生多个部分中的每一个的相关值; 从所述多个部分确定包括满足预定值的相关值的第一部分; 以及在第一部分引导水印解码器来解码多位水印有效负载，其中水印解码器产生第一部分的水印签名，并且其中水印解码器搜索第一部分处或周围的多个区域 解码多位水印有效载荷。 当然，在该专利文献中提供了许多其它方面和公开。
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公开(公告)号：US09412144B2
公开(公告)日：2016-08-09
申请号：US14546708
申请日：2014-11-18
Applicant: Digimarc Corporation
Inventor： Osama M. Alattar , Adnan M. Alattar
CPC classification number: G06T1/005 , G06K9/00744 , G06T2201/0051 , G06T2201/0061 , G06T2201/0065 , H04N1/32203 , H04N1/32267 , H04N1/32288 , H04N1/32352
Abstract: The present invention relates generally to digital watermarking. In one implementation, we provide a hierarchical digital watermark detector method. The method includes: i) in a first layer of a hierarchical search, performing watermark detection on blocks of at least a portion of an incoming suspect signal; ii) identifying a first block in the portion that is likely to include a decodable digital watermark; and iii) in a second layer of the hierarchical search, performing additional watermark detection on overlapping blocks in a neighborhood around the first block. Another implementation provides a hierarchical watermark detector including a buffer and a detector. The buffer stores portions of an incoming signal. The detector evaluates watermark detection criteria for blocks stored in the buffer, and hierarchically zooms into a neighborhood of blocks around a block associated with watermark detection criteria that satisfies detection criteria.
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