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1. 发明申请

US20190244027A1 PHOTO PROCESSING METHOD AND APPARATUS 审中-公开
公开(公告)号：US20190244027A1
公开(公告)日：2019-08-08
申请号：US16386152
申请日：2019-04-16
申请人： Tencent Technology (Shenzhen) Company Limited
发明人： Guofu TAN
IPC分类号： G06K9/00 , G06F16/58 , G06F16/51 , G06K9/62 , G06F3/14
CPC分类号： G06K9/00684 , G06F3/14 , G06F16/51 , G06F16/58 , G06K9/00228 , G06K9/00241 , G06K9/00268 , G06K9/00295 , G06K9/6215 , G06K9/6222 , H04N1/00196
摘要： The present disclosure discloses a photo processing method and an apparatus for grouping photos into photo albums based on facial recognition results. The method includes: performing face detection on multiple photos, to obtain a face image feature set, each face image feature in the face image feature set corresponding to one of the multiple photos; determining a face-level similarity for each pair of face image features in the face image feature set; determining a photo-level similarity between each pair of photos in the multiple photos in accordance with their associated face-level similarities; generating a photo set for each target photo in the multiple photos, wherein any photo-level similarity between the target photo and another photo in the photo set exceeds a predefined photo-level threshold; and generating a label for each photo set using photographing location and photographing time information associated with the photos in the photo set.

2. 发明申请

US20190042880A1 SYSTEM AND METHOD FOR CASCADING IMAGE CLUSTERING USING DISTRIBUTION OVER AUTO-GENERATED LABELS 审中-公开
公开(公告)号：US20190042880A1
公开(公告)日：2019-02-07
申请号：US15669800
申请日：2017-08-04
申请人： Medallia, Inc.
发明人： Andrew J. Yeager , Ji Fang
IPC分类号： G06K9/62 , G06K9/72 , G06Q30/02
CPC分类号： G06K9/6222 , G06K9/6256 , G06K9/6263 , G06K9/627 , G06K9/6277 , G06K9/726 , G06K2209/27 , G06Q30/0282
摘要： Embodiments of the present invention provide a system that can be used to classify a feedback image in a user review into a semantically meaningful class. During operation, the system analyzes the captions of feedback images in a set of user reviews and determines a set of training labels from the captions. The system then trains an image classifier with the set of training labels and the feedback images. Subsequently, the system generates a signature for a respective feedback image in a new set of user reviews using the image classifier. The signature indicates a likelihood of the image matching a respective label in the set of training labels. Based on the signature, the system can allocate the image to an image cluster.

3. 发明申请

US20180365833A1 SYSTEM AND METHOD FOR AUTOMATED DETECTION AND MEASUREMENT OF CORNEAL HAZE AND DEMARCATION LINE IN OPTICAL COHERENCE TOMOGRAPHY IMAGES 审中-公开
公开(公告)号：US20180365833A1
公开(公告)日：2018-12-20
申请号：US16009937
申请日：2018-06-15
申请人： American University of Beirut
发明人： Ahmad R. Dhaini , Sarah Maria El Oud , Shady Awwad , Maamoun Abdul Fattah , Manal Chokr
IPC分类号： G06T7/00 , G06K9/00 , G06T7/11 , G06F3/0481
CPC分类号： G06T7/0014 , G06F3/0481 , G06K9/0061 , G06K9/44 , G06K9/6222 , G06K2209/05 , G06T7/11 , G06T2207/10101 , G06T2207/30041
摘要： A system and method for Automated Detection and Measurement of Corneal Haze and the Demarcation Line is disclosed. Data extraction module performs visual data and statistics generation to detect corneal haze and calculate corneal attributes in images.

4. 发明申请

US20170278146A1 RECEPTION SYSTEM AND RECEPTION METHOD 审中-公开
公开(公告)号：US20170278146A1
公开(公告)日：2017-09-28
申请号：US15465985
申请日：2017-03-22
申请人： HONDA MOTOR CO., LTD.
发明人： Naoaki Sumida , Hiroshi Kondo , Asuka Shiina , Shunichi Yamamoto , Kazuhiro Nakadai , Keisuke Nakamura
IPC分类号： G06Q30/02 , H04M3/46 , G06F3/0488 , G06K9/00 , G06F3/0482 , H04L29/12 , H04M7/00
CPC分类号： G06Q30/0281 , G06K9/00288 , G06K9/6222 , G06K9/68 , H04M3/46 , H04M3/465 , H04M2203/551
摘要： A reception system includes: a visitor recognition unit that recognizes a visitor; a receiving person recognition unit that recognizes a receiving person that corresponds to the visitor; a receiving person contact information storage unit that stores contact information of the receiving person; a notification unit that notifies the receiving person of a visit of the visitor at the contact information of the receiving person stored by the receiving person contact information storage unit; and a receiving person selection unit that selects a substitute receiving person associated with the receiving person in a case where the receiving person is absent when the notification unit notifies the receiving person at the contact information of the receiving person, wherein the notification unit notifies the substitute receiving person selected by the receiving person selection unit when the receiving person is absent.

5. 发明授权

US09645975B2 Approximate order statistics of real numbers in generic data 有权
公开(公告)号：US09645975B2
公开(公告)日：2017-05-09
申请号：US14255981
申请日：2014-04-18
申请人： Splunk Inc.
发明人： Steve Yu Zhang
IPC分类号： G06F17/18
CPC分类号： G06F17/18 , G06F7/22 , G06F7/483 , G06F7/544 , G06F17/30536 , G06K9/6222
摘要： A method, system, and processor-readable storage medium are directed towards calculating approximate order statistics on a collection of real numbers. In one embodiment, the collection of real numbers is processed to create a digest comprising hierarchy of buckets. Each bucket is assigned a real number N having P digits of precision and ordinality O. The hierarchy is defined by grouping buckets into levels, where each level contains all buckets of a given ordinality. Each individual bucket in the hierarchy defines a range of numbers—all numbers that, after being truncated to that bucket's P digits of precision, are equal to that bucket's N. Each bucket additionally maintains a count of how many numbers have fallen within that bucket's range. Approximate order statistics may then be calculated by traversing the hierarchy and performing an operation on some or all of the ranges and counts associated with each bucket.

6. 发明申请

US20160163065A1 BACKGROUND MODEL FOR COMPLEX AND DYNAMIC SCENES 有权
标题翻译：复杂和动态场景的背景模型
公开(公告)号：US20160163065A1
公开(公告)日：2016-06-09
申请号：US15019759
申请日：2016-02-09
申请人： 9051147 CANADA INC.
发明人： Wesley Kenneth COBB , Ming-Jung SEOW , Tao YANG
IPC分类号： G06T7/20 , G06K9/66 , G06K9/00
CPC分类号： G06T7/20 , G06K9/00335 , G06K9/00718 , G06K9/00771 , G06K9/6218 , G06K9/6222 , G06K9/66 , G06K2009/00738 , G06T7/254 , G06T2207/10016 , G06T2207/20084 , G06T2207/30196 , G06T2207/30232
摘要： Systems and methods for viewing a scene depicted in a sequence of video frames and identifying and tracking objects between separate frames of the sequence. Each tracked object is classified based on known categories and a stream of context events associated with the object is generated. A sequence of primitive events based on the stream of context events is generated and stored together, along with detailed data and generalized data related to an event. All of the data is then evaluated to learn patterns of behavior that occur within the scene.
摘要翻译：用于观看视频帧序列中描绘的场景的系统和方法，并且在序列的不同帧之间识别和跟踪对象。基于已知类别对每个被跟踪对象进行分类，并且生成与对象相关联的上下文事件流。基于上下文事件流的原始事件序列被生成并存储在一起，以及与事件相关的详细数据和通用数据。然后评估所有数据以了解场景内出现的行为模式。

7. 发明授权

US08565529B2 Methods for identifying imaging devices and classifying images acquired by unknown imaging devices 有权
标题翻译：用于识别成像装置并对由未知成像装置获取的图像进行分类的方法
公开(公告)号：US08565529B2
公开(公告)日：2013-10-22
申请号：US13201558
申请日：2010-02-15
申请人： Li Chang-Tsun , Richard Leary
发明人： Li Chang-Tsun , Richard Leary
IPC分类号： G06K9/46 , G06K9/40
CPC分类号： G06K9/40 , G06K9/6222
摘要： A method of classifying an image taken by an image capture device, the method comprising the steps of: extracting an initial Sensor Noise Pattern (SNP) for the image; enhancing the initial SNP to create an enhanced SNP by applying a correcting model, wherein the correcting model scales the initial SNP by a factor inversely proportional to the signal intensity of the initial SNP; determining a similarity measure between the enhanced SNP for said image with one or more previously calculated enhanced SNPs for one or more different images; and classifying the image in a group of one or more images with similar or identical SNPs based on the determined similarity measure.
摘要翻译：一种对由图像捕获装置拍摄的图像进行分类的方法，所述方法包括以下步骤：提取图像的初始传感器噪声模式（SNP）; 增强初始SNP以通过应用校正模型来创建增强型SNP，其中所述校正模型将所述初始SNP按照与所述初始SNP的信号强度成反比的因子进行缩放; 确定所述图像的增强SNP与一个或多个先前计算的一个或多个不同图像的增强型SNP之间的相似性度量; 并且基于所确定的相似性度量，将具有相似或相同SNP的一个或多个图像的组中的图像分类。

8. 发明授权

US08468104B1 System for anomaly detection 有权
标题翻译：异常检测系统
公开(公告)号：US08468104B1
公开(公告)日：2013-06-18
申请号：US12592837
申请日：2009-12-02
申请人： Suhas E. Chelian , Narayan Srinivasa
发明人： Suhas E. Chelian , Narayan Srinivasa
IPC分类号： G06F15/18
CPC分类号： G06K9/6222 , G01S13/887
摘要： Described is a system for anomaly detection to detect an anomalous object in an image, such as a concealed object beneath a person's clothing. The system is configured to receive, in a processor, at least one streaming peaked curve (R) representative of a difference between an input and a chosen category for a given feature. A degree of match is then generated between the input and the chosen category for all features. Finally, the degree of match is compared against a predetermined anomaly threshold and, if the degree of match exceeds the predetermined anomaly threshold, then the current feature is designated as an anomaly.
摘要翻译：描述了用于异常检测的系统，用于检测图像中的异常物体，例如人的衣服下方的隐藏物体。系统被配置为在处理器中接收代表给定特征的输入和所选类别之间的差异的至少一个流式峰值曲线（R）。然后在所有功能的输入和所选类别之间生成匹配度。最后，将匹配度与预定的异常阈值进行比较，并且如果匹配度超过预定的异常阈值，则将当前特征指定为异常。

9. 发明申请

US20130136353A1 BACKGROUND MODEL FOR COMPLEX AND DYNAMIC SCENES 审中-公开
标题翻译：复杂和动态场景的背景模型
公开(公告)号：US20130136353A1
公开(公告)日：2013-05-30
申请号：US13746760
申请日：2013-01-22
申请人： Behavioral Recognition Systems, Inc.
发明人： Wesley Kenneth COBB , Ming-Jung SEOW , Tao YANG
IPC分类号： G06K9/62
CPC分类号： G06T7/20 , G06K9/00335 , G06K9/00718 , G06K9/00771 , G06K9/6218 , G06K9/6222 , G06K9/66 , G06K2009/00738 , G06T7/254 , G06T2207/10016 , G06T2207/20084 , G06T2207/30196 , G06T2207/30232
摘要： Techniques are disclosed for learning and modeling a background for a complex and/or dynamic scene over a period of observations without supervision. A background/foreground component of a computer vision engine may be configured to model a scene using an array of ART networks. The ART networks learn the regularity and periodicity of the scene by observing the scene over a period of time. Thus, the ART networks allow the computer vision engine to model complex and dynamic scene backgrounds in video.
摘要翻译：披露了一种技术，用于在无监督的一段时间内为复杂和/或动态场景学习和建模背景。计算机视觉引擎的背景/前景分量可以被配置为使用ART网络阵列对场景建模。 ART网络通过观察一段时间内的场景，了解场景的规律性和周期性。因此，ART网络允许计算机视觉引擎在视频中对复杂和动态的场景背景进行建模。

10. 发明申请

US20070150424A1 Neural network model with clustering ensemble approach 审中-公开
标题翻译：具有聚类方法的神经网络模型
公开(公告)号：US20070150424A1
公开(公告)日：2007-06-28
申请号：US11315746
申请日：2005-12-22
申请人： Boris Igelnik
发明人： Boris Igelnik
IPC分类号： G06N3/02
CPC分类号： G06N3/0454 , G05B17/02 , G06K9/6222 , G06K9/6249
摘要： A predictive global model for modeling a system includes a plurality of local models, each having: an input layer for mapping into an input space, a hidden layer and an output layer. The hidden layer stores a representation of the system that is trained on a set of historical data, wherein each of the local models is trained on only a select and different portion of the set of historical data. The output layer is operable for mapping the hidden layer to an associated local output layer of outputs, wherein the hidden layer is operable to map the input layer through the stored representation to the local output layer. A global output layer is provided for mapping the outputs of all of the local output layers to at least one global output, the global output layer generalizing the outputs of the local models across the stored representations therein.
摘要翻译：用于建模系统的预测性全球模型包括多个局部模型，每个模型具有：用于映射到输入空间的输入层，隐藏层和输出层。隐藏层存储在一组历史数据上训练的系统的表示，其中每个本地模型仅在该组历史数据的选择和不同部分进行训练。输出层可操作用于将隐藏层映射到输出的相关联的本地输出层，其中隐藏层可操作以通过存储的表示将输入层映射到本地输出层。提供了一个全局输出层，用于将所有本地输出层的输出映射到至少一个全局输出，全局输出层将本地模型的输出跨越其中存储的表示进行泛化。

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