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公开(公告)号：US20170299435A1
公开(公告)日：2017-10-19
申请号：US15456300
申请日：2017-03-10
Applicant: Digimarc Corporation
Inventor： Geoffrey B. Rhoads , Hugh L. Brunk , John D. Lord
IPC: G01J3/28 , H04N9/04 , H04N5/235 , H04N5/225 , G06K9/62 , G06K9/48 , G06K9/46 , G01J3/447 , G01J3/36 , G01J3/10 , H04N9/69 , G01J3/02
CPC classification number: H04N5/2256 , A61B5/0075 , A61B5/6898 , G01J3/0229 , G01J3/0272 , G01J3/10 , G01J3/2823 , G01J3/36 , G01J3/447 , G01J3/51 , G01J3/513 , G06K9/4652 , G06K9/481 , G06K9/6256 , G06K9/628 , H04N5/2254 , H04N5/2354 , H04N9/045 , H04N9/69 , H04N9/73
Abstract: A spectral imaging device is configured to capture color images synchronized with controlled illumination from different color light emitting diodes. A processor in the device applies a coupling factor to sampled color images to convert sampled pixels into spectral channels corresponding to LED color and color filter. Multi-spectral spectricity vectors produced at pixel locations are used along with spatial information to classify objects, such as produce items.
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公开(公告)号：US20170236037A1
公开(公告)日：2017-08-17
申请号：US15332262
申请日：2016-10-24
Applicant: Digimarc Corporation
Inventor： Geoffrey B. Rhoads , Yang Bai , Tony F. Rodriguez , Eliot Rogers , Ravi K. Sharma , John D. Lord , Scott Long , Brian T. MacIntosh , Kurt M. Eaton
CPC classification number: G06K9/6215 , G06F17/30247 , G06F17/30256 , G06F17/30268 , G06K9/00 , G06K9/00208 , G06K9/4671 , G06K9/6202 , G06K9/6255 , G06T15/02 , G06T15/20 , G06T17/00 , H04N7/185
Abstract: Methods and arrangements involving portable user devices such smartphones and wearable electronic devices are disclosed, as well as other devices and sensors distributed within an ambient environment. Some arrangements enable a user to perform an object recognition process in a computationally- and time-efficient manner. Other arrangements enable users and other entities to, either individually or cooperatively, register or enroll physical objects into one or more object registries on which an object recognition process can be performed. Still other arrangements enable users and other entities to, either individually or cooperatively, associate registered or enrolled objects with one or more items of metadata. A great variety of other features and arrangements are also detailed.
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公开(公告)号：US20160364634A1
公开(公告)日：2016-12-15
申请号：US15175997
申请日：2016-06-07
Applicant: Digimarc Corporation
Inventor： Bruce L. Davis , Tony F. Rodriguez , Geoffrey B. Rhoads , John D. Lord , Alastair M. Reed , Eric D. Evans , Rebecca L. Gerlach , Yang Bai , John Stach , Tomas Filler , Marc G. Footen , Sean Calhoon
CPC classification number: G06K9/78 , G06F3/147 , G06K7/10861 , G06K7/1456 , G06K2017/0051 , G06K2017/0093 , G06Q10/08 , G06Q10/087 , G06Q20/201 , G06Q20/208 , G06Q30/00 , G06Q30/0601 , G07G1/0045
Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. A great variety of other features and arrangements are also detailed.
Abstract translation: 在一些安排中，产品包装在其大部分程度上以数字水印方式，以促进零售结算处的高通量物品识别。 可以通过传统或全光照相机拍摄的图像（例如，通过GPU）来处理几个不同的透视变换视图 - 进一步最小化手动重新定位项目以进行识别的需要。 产品包装中的皱纹和其他变形可以光学感测，允许这些表面几乎变平，以帮助识别。 物品堆可以3D建模，并将其虚拟分割成几何图元，以帮助识别，并发现隐藏物品的位置。 可以使用其他数据（例如，包括来自在通道中的传感器的数据，架子和推车以及关于视觉显着性的线索的凝视跟踪）来评估关于物品的识别假设。 还详细介绍了各种各样的其他功能和安排。
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公开(公告)号：US09269022B2
公开(公告)日：2016-02-23
申请号：US14251229
申请日：2014-04-11
Applicant: Digimarc Corporation
Inventor： Geoffrey B. Rhoads , Yang Bai , Tony F. Rodriguez , Eliot Rogers , Ravi K. Sharma , John D. Lord , Scott Long , Brian T. MacIntosh , Kurt M. Eaton
CPC classification number: G06K9/6215 , G06F17/30247 , G06F17/30256 , G06F17/30268 , G06K9/00 , G06K9/00208 , G06K9/4671 , G06K9/6202 , G06K9/6255 , G06T15/02 , G06T15/20 , G06T17/00 , H04N7/185
Abstract: Methods and arrangements involving portable user devices such smartphones and wearable electronic devices are disclosed, as well as other devices and sensors distributed within an ambient environment. Some arrangements enable a user to perform an object recognition process in a computationally- and time-efficient manner. Other arrangements enable users and other entities to, either individually or cooperatively, register or enroll physical objects into one or more object registries on which an object recognition process can be performed. Still other arrangements enable users and other entities to, either individually or cooperatively, associate registered or enrolled objects with one or more items of metadata. A great variety of other features and arrangements are also detailed.
Abstract translation: 公开了涉及诸如智能电话和可穿戴电子设备的便携式用户设备的方法和布置，以及分布在周围环境内的其他设备和传感器。 一些布置使得用户能够以计算和时间有效的方式执行对象识别处理。 其他布置使用户和其他实体可以单独地或协作地将物理对象注册或注册到可以执行对象识别处理的一个或多个对象注册表中。 还有一些安排使用户和其他实体可以单独地或协同地将注册或注册的对象与一个或多个元数据项相关联。 还详细介绍了各种各样的其他功能和安排。
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105.发明申请SIGNAL PROCESSORS AND METHODS FOR ESTIMATING TRANSFORMATIONS BETWEEN SIGNALS WITH PHASE DEVIATION 审中-公开信号处理器和用于估计信号与相位偏差之间的变换的方法公开(公告)号：US20150071565A1
公开(公告)日：2015-03-12
申请号：US14301293
申请日：2014-06-10
Applicant: Digimarc Corporation
Inventor： Ravi K. Sharma , John D. Lord
CPC classification number: G06T3/0056 , G06K9/522 , G06K9/6206 , G06T1/0021 , G06T1/0064 , G06T2201/0065
Abstract: A phase deviation method determines an offset between a reference and suspect signal by analyzing a phase deviation surface created by computing a deviation metric for phase shift and then analyzing a surface formed from the deviation metrics for an array of offsets. The phase deviation method analyzes the deviation surface to determine an offset that minimizes phase deviation. This method is applied at increasing levels of detail to refine the determination of the offset.
Abstract translation: 相位偏差方法通过分析通过计算相移的偏差度量而产生的相位偏差表面，然后分析由偏移数组的偏差度量形成的表面来确定参考和可疑信号之间的偏移。 相位偏差法分析偏差表面以确定最小化相位偏移的偏移。 该方法以增加的细节水平应用以改善偏移的确定。
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Patent Agency Ranking
公开(公告)号：US20150022675A1
公开(公告)日：2015-01-22
申请号：US14506918
申请日：2014-10-06
Applicant: Digimarc Corporation
Inventor： John D. Lord , Geoffrey B. Rhoads , Tony F. Rodriguez
CPC classification number: H04N5/23222 , G06F17/30244 , G06F19/00 , G06K9/00288 , G06K9/00577 , G06K9/228 , G06K9/4604 , G06K9/4647 , G06K9/4652 , G06K9/4671 , G06K9/6253 , H04M1/0202 , H04M1/0264 , H04N1/00307 , H04N1/2133 , H04N1/32101 , H04N5/23219 , H04N2101/00 , H04N2201/3225 , H04N2201/3274 , H04N2201/3278 , H04W4/50
Abstract: Cell phones and other portable devices are equipped with a variety of technologies by which existing functionality is improved, and new functionality is provided. Some aspects relate to imaging architectures, in which a cell phone's image sensor is one in a chain of stages that successively act on instructions/data, to capture and later process imagery. Other aspects relate to distribution of processing tasks between the device and remote resources (“the cloud”). Elemental image processing, such as filtering and edge detection—and even some simpler template matching operations—may be performed on the cell phone. Other operations are referred out to remote service providers. The remote service providers can be identified using techniques such as a reverse auction, though which they compete for processing tasks. Other aspects of the disclosed technologies relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Still others concern metadata generation, processing, and representation. A great number of other features and arrangements are also detailed.
Abstract translation: 手机和其他便携式设备配备有各种技术，通过该技术改进现有的功能，并提供新的功能。 一些方面涉及成像架构，其中手机的图像传感器是连续地作用在指令/数据上的阶段链中，以捕获和稍后处理图像。 其他方面涉及设备和远程资源（“云”）之间的处理任务分配。 可以在蜂窝电话上执行元素图像处理，例如滤波和边缘检测，甚至一些更简单的模板匹配操作。 其他操作被转交给远程服务提供商。 可以使用诸如反向拍卖的技术来识别远程服务提供商，尽管它们竞争处理任务。 所公开技术的其他方面涉及视觉搜索能力，并且响应于不同的图像输入来确定适当的动作。 还有一些涉及元数据生成，处理和表示。 还详细介绍了许多其他功能和安排。
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公开(公告)号：US20150016712A1
公开(公告)日：2015-01-15
申请号：US14251229
申请日：2014-04-11
Applicant: Digimarc Corporation
Inventor： Geoffrey B. Rhoads , Yang Bai , Tony F. Rodriguez , Eliot Rogers , Ravi K. Sharma , John D. Lord , Scott Long , Brian T. MacIntosh , John Stach , Robert G. Lyons , Kurt M. Eaton
CPC classification number: G06K9/6215 , G06F17/30247 , G06F17/30256 , G06F17/30268 , G06K9/00 , G06K9/00208 , G06K9/4671 , G06K9/6202 , G06K9/6255 , G06T15/02 , G06T15/20 , G06T17/00 , H04N7/185
Abstract: Methods and arrangements involving portable user devices such smartphones and wearable electronic devices are disclosed, as well as other devices and sensors distributed within an ambient environment. Some arrangements enable a user to perform an object recognition process in a computationally- and time-efficient manner. Other arrangements enable users and other entities to, either individually or cooperatively, register or enroll physical objects into one or more object registries on which an object recognition process can be performed. Still other arrangements enable users and other entities to, either individually or cooperatively, associate registered or enrolled objects with one or more items of metadata. A great variety of other features and arrangements are also detailed.
Abstract translation: 公开了涉及诸如智能电话和可穿戴电子设备的便携式用户设备的方法和布置，以及分布在周围环境内的其他设备和传感器。 一些布置使得用户能够以计算和时间有效的方式执行对象识别处理。 其他布置使用户和其他实体可以单独地或协作地将物理对象注册或注册到可以执行对象识别处理的一个或多个对象注册表中。 还有一些安排使用户和其他实体可以单独地或协同地将注册或注册的对象与一个或多个元数据项相关联。 还详细介绍了各种各样的其他功能和安排。
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公开(公告)号：US20150003802A1
公开(公告)日：2015-01-01
申请号：US14325957
申请日：2014-07-08
Applicant: Digimarc Corporation
Inventor： John D. Lord
IPC: G11B27/022 , H04N9/82 , H04N5/77
CPC classification number: G11B27/022 , H04N5/23248 , H04N5/77 , H04N5/913 , H04N9/8042 , H04N9/8205
Abstract: Audio and or video data is structurally and persistently associated with auxiliary sensor data (e.g., relating to acceleration, orientation or tilt) through use of a unitary data object, such as a modified MPEG file or data stream. In this form, different rendering devices can employ co-conveyed sensor data to alter the audio or video content. Such use of the sensor data may be personalized to different users, e.g., through preference data. For example, accelerometer data can be associated with video data, allowing some users to view a shake-stabilized version of a video, and other users to view the video with such motion artifacts undisturbed. In like fashion, camera parameters, such as focal plane distance, can be co-conveyed with audio/video content—allowing the volume to be diminished (or not, again depending on user preference) when a camera captures audio/video from a distant subject. Some arrangements employ multiple image sensors and/or multiple audio sensors—each also collecting auxiliary data. A great number of other features and arrangements are also detailed.
Abstract translation: 音频和/或视频数据通过使用诸如经修改的MPEG文件或数据流的统一数据对象在结构上和持久地与辅助传感器数据相关联（例如，涉及加速度，取向或倾斜）。 在这种形式中，不同的渲染设备可以使用共同传送的传感器数据来改变音频或视频内容。 传感器数据的这种使用可以例如通过偏好数据来个性化到不同的用户。 例如，加速度计数据可以与视频数据相关联，允许一些用户观看视频的抖动版本，并且其他用户不受干扰地观看具有这种运动伪像的视频。 以相似的方式，相机参数（如焦平面距离）可以与音频/视频内容共同传送，从而允许在相机从遥远的位置拍摄音频/视频时，音量减小（或不再依赖于用户偏好） 学科。 一些布置采用多个图像传感器和/或多个音频传感器，每个传感器还收集辅助数据。 还详细介绍了许多其他功能和安排。
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公开(公告)号：US20140071268A1
公开(公告)日：2014-03-13
申请号：US13969422
申请日：2013-08-16
Applicant: Digimarc Corporation
Inventor： John D. Lord , Alastair M. Reed
CPC classification number: G01B11/002 , G06T7/74 , G06T2207/10048 , H04N5/2256
Abstract: In an illustrative embodiment, the free space attenuation of illumination with distance, according to a square law relationship, is used to estimate the distance between a light source and two or more different areas on the surface of a product package. By reference to these distance estimates, the angular pose of the product package is determined. Plural frames of imagery, captured both with and without illumination from the light source, can be processed to mitigate the effects of ambient lighting.
Abstract translation: 在说明性实施例中，根据平方律关系，使用距离的照明的自由空间衰减用于估计光源与产品包装表面上的两个或更多个不同区域之间的距离。 通过参考这些距离估计，确定产品包的角姿势。 可以处理多个具有和不具有来自光源的照明的图像，以减轻环境照明的影响。
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公开(公告)号：US20130223673A1
公开(公告)日：2013-08-29
申请号：US13750752
申请日：2013-01-25
Applicant: Digimarc Corporation
Inventor： Bruce L. Davis , Tony F. Rodriguez , Geoffrey B. Rhoads , John D. Lord , Alastair M. Reed , Eric D. Evans , Rebecca L. Gerlach , Yang Bai , John Stach , Tomas Filler , Marc G. Footen , Sean Calhoon
CPC classification number: G06K9/78 , G06F3/147 , G06K7/10861 , G06K7/1456 , G06K2017/0051 , G06K2017/0093 , G06Q10/08 , G06Q10/087 , G06Q20/201 , G06Q20/208 , G06Q30/00 , G06Q30/0601 , G07G1/0045
Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. A great variety of other features and arrangements are also detailed.
Abstract translation: 在一些安排中，产品包装在其大部分程度上以数字水印方式，以促进零售结算处的高通量物品识别。 可以通过传统或全光照相机拍摄的图像（例如，通过GPU）来处理几个不同的透视变换视图 - 进一步最小化手动重新定位项目以进行识别的需要。 产品包装中的皱纹和其他变形可以光学感测，允许这些表面几乎变平，以帮助识别。 物品堆可以3D建模，并将其虚拟分割成几何图元，以帮助识别，并发现隐藏物品的位置。 可以使用其他数据（例如，包括来自在通道中的传感器的数据，架子和推车以及关于视觉显着性的线索的凝视跟踪）来评估关于物品的识别假设。 还详细介绍了各种各样的其他功能和安排。
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