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    • 31. 发明授权
    • Object verification enabled network (OVEN)
    • 启用对象验证网络(OVEN)
    • US07904477B2
    • 2011-03-08
    • US11999649
    • 2007-12-06
    • Namsoon JungRajeev Sharma
    • Namsoon JungRajeev Sharma
    • G06F7/00G06F17/30
    • G06F8/38G06F8/24
    • The present invention is a method and system for handling a plurality of information units in an information processing system, such as a multimodal human computer interaction (HCI) system, through verification process for the plurality of information units. The present invention converts each information unit in the plurality of information units into verified object by augmenting the first meaning in the information unit with a second meaning and expresses the verified objects by object representation for each verified object. The present invention utilizes a processing structure, called polymorphic operator, which is capable of applying a plurality of relationships among the verified objects based on a set of predefined rules in a particular application domain for governing the operation among the verified objects. The present invention is named Object Verification Enabled Network (OVEN). The OVEN provides a computational framework for the information processing system that needs to handle complex data and event in the system, such as handling a huge amount of data in a database, correlating information pieces from multiple sources, applying contextual information to the recognition of inputs in a specific domain, processing fusion of the multiple inputs from different modalities, handling unforeseen challenges in deploying a commercially working information processing system in a real-world environment, and handling collaboration among multiple users.
    • 本发明是通过多个信息单元的验证处理来处理诸如多模式人机交互(HCI)系统的信息处理系统中的多个信息单元的方法和系统。 本发明通过用第二含义增加信息单元中的第一含义将多个信息单元中的每个信息单元转换为经验证的对象,并通过每个已验证对象的对象表示来表示所验证的对象。 本发明利用称为多态运算符的处理结构,其能够基于特定应用领域中的一组预定义规则来应用经验证的对象之间的多个关系,以管理已验证对象之间的操作。 本发明被命名为对象验证启用网络(OVEN)。 OVEN为需要处理系统中复杂数据和事件的信息处理系统提供计算框架,例如处理数据库中的大量数据,将来自多个源的信息相关,将上下文信息应用于输入的识别 在特定领域中,处理来自不同模式的多个输入的融合,处理在现实环境中部署商业工作信息处理系统中的不可预见的挑战,以及处理多个用户之间的协作。
    • 32. 发明授权
    • Method and system for enhancing virtual stage experience
    • 增强虚拟舞台体验的方法和系统
    • US07053915B1
    • 2006-05-30
    • US10621181
    • 2003-07-16
    • Namsoon JungRajeev Sharma
    • Namsoon JungRajeev Sharma
    • G09G5/00G09B5/00
    • G10H1/368
    • The present invention is a system and method for increasing the value of the audio-visual entertainment systems, such as karaoke, by simulating a virtual stage environment and enhancing the user's facial image in a continuous video input, automatically, dynamically and in real-time. The present invention is named Enhanced Virtual Karaoke (EVIKA). The EVIKA system consists of two major modules, the facial image enhancement module and the virtual stage simulation module. The facial image enhancement module augments the user's image using the embedded Facial Enhancement Technology (F.E.T.) in real-time. The virtual stage simulation module constructs a virtual stage in the display by augmenting the environmental image. The EVIKA puts the user's enhanced body image into the dynamic background, which changes according to the user's arbitrary motion. During the entire process, the user can interact with the system and select and interact with the virtual objects on the screen. The capability of real-time execution of the EVIKA system even with complex backgrounds enables the user to experience a whole new live virtual entertainment environment experience, which was not possible before.
    • 本发明是通过模拟虚拟舞台环境并在连续视频输入中自动,动态地和实时地增强用户的面部图像来增加诸如卡拉OK的视听娱乐系统的价值的系统和方法 。 本发明被称为增强虚拟卡拉OK(EVIKA)。 EVIKA系统由两个主要模块,面部图像增强模块和虚拟舞台仿真模块组成。 面部图像增强模块使用嵌入式面部增强技术(F.E.T.)实时增强用户的图像。 虚拟舞台仿真模块通过增加环境图像在显示器中构建虚拟舞台。 EVIKA将用户的增强身体图像放入动态背景中,根据用户的任意动作进行改变。 在整个过程中,用户可以与系统进行交互,并选择并与屏幕上的虚拟对象进行交互。 EVIKA系统即使采用复杂的背景实时执行功能,也可以让用户体验全新的虚拟娱乐环境体验,这是以前无法实现的。
    • 36. 发明授权
    • Method and system for rating the role of a product category in the performance of a store area
    • 评估产品类别在商店区域表现中的作用的方法和系统
    • US08577705B1
    • 2013-11-05
    • US12317918
    • 2008-12-30
    • Priya BabooRajeev SharmaVarij SaurabhNamsoon Jung
    • Priya BabooRajeev SharmaVarij SaurabhNamsoon Jung
    • G06Q40/00
    • G06Q30/02
    • The present invention is a method and system for measuring a set of shopper behavior metrics that represent the strength of a product category or a group of categories in the performance of a store area. A set of rating parameters are defined in order to provide a unified and standardized rating system. The rating system represents the effectiveness of the product category in a store area. The metrics are defined in a manner that is normalized so that they can be used across different types of product categories. The datasets are measured per category or group of categories over time to identify how the strength has varied over time, and to monitor trends in the category performance. The measured datasets are further analyzed based on various demographic groups and behavior segments. The analysis facilitates a better understanding of the strength of the category for different shopper segments, which in turn can be applied for developing better store area optimization strategies.
    • 本发明是一种用于测量一组购物者行为度量的方法和系统,所述购物者行为度量表示商店区域的表现中的产品类别或一组类别的强度。 定义一组评级参数,以提供统一和标准化的评级系统。 评级系统代表了商店区域中产品类别的有效性。 度量是以规范化的方式定义的,以便它们可以跨不同类型的产品类别使用。 随着时间的推移,每个类别或一组类别测量数据集,以确定强度随时间变化的方式,并监测类别绩效的趋势。 根据不同的人口统计组和行为部分进一步分析测量的数据集。 该分析有助于更好地了解不同购物者细分的类别的强度,从而可以应用于开发更好的店面优化策略。
    • 37. 发明授权
    • Method and system for measuring packaging effectiveness using video-based analysis of in-store shopper response
    • 使用店内购物者回应的视频分析来测量包装效果的方法和系统
    • US08433612B1
    • 2013-04-30
    • US12079624
    • 2008-03-27
    • Rajeev SharmaPriya BabooNamsoon Jung
    • Rajeev SharmaPriya BabooNamsoon Jung
    • G06Q30/00
    • G06Q30/06
    • The present invention is a method and system for measuring packaging effectiveness based on video-based analysis of people in the vicinity of a plurality of package concepts. The present invention measures the response of people to the different packaging concepts, wherein the quantified response measurement shows the ability of the packaging concepts to attract, engage, and motivate people to purchase. The video-based analysis comprises behavior analysis, demographic analysis, and emotion change detection in response to the package effectiveness. The present invention captures a plurality of input images of the people in the vicinity of a plurality of package concepts by a plurality of means for capturing images. The plurality of input images is processed in order to understand the effectiveness of packaging design and changes. The processes are based on a novel usage of a plurality of computer vision technologies to analyze the visual characterization of the people from the plurality of input images in relation to the packaging design and changes.
    • 本发明是一种基于对多个包装概念附近的人的视频分析来测量包装效率的方法和系统。 本发明测量人们对不同包装概念的反应,其中量化响应测量显示了包装概念吸引,参与和激励人们购买的能力。 基于视频的分析包括行为分析,人口统计分析和情绪变化检测,以响应包的有效性。 本发明通过用于捕获图像的多个装置捕获多个包装概念附近的人的多个输入图像。 处理多个输入图像以了解包装设计和变化的有效性。 这些过程基于多个计算机视觉技术的新颖用途,以便相对于包装设计和变化分析来自多个输入图像的人的视觉特征。
    • 38. 发明授权
    • Method and system for measuring shopper response to products based on behavior and facial expression
    • 基于行为和面部表情测量购物者对产品的反应的方法和系统
    • US08219438B1
    • 2012-07-10
    • US12215879
    • 2008-06-30
    • Hankyu MoonRajeev SharmaNamsoon Jung
    • Hankyu MoonRajeev SharmaNamsoon Jung
    • G06Q10/00
    • G06Q30/0201G06Q30/0202G06Q30/0204
    • The present invention is a method and system for measuring human response to retail elements, based on the shopper's facial expressions and behaviors. From a facial image sequence, the facial geometry—facial pose and facial feature positions—is estimated to facilitate the recognition of facial expressions, gaze, and demographic categories. The recognized facial expression is translated into an affective state of the shopper and the gaze is translated into the target and the level of interest of the shopper. The body image sequence is processed to identify the shopper's interaction with a given retail element—such as a product, a brand, or a category. The dynamic changes of the affective state and the interest toward the retail element measured from facial image sequence is analyzed in the context of the recognized shopper's interaction with the retail element and the demographic categories, to estimate both the shopper's changes in attitude toward the retail element and the end response—such as a purchase decision or a product rating.
    • 本发明是一种用于根据购物者的面部表情和行为测量人对零售元素的反应的方法和系统。 从面部图像序列中,面部几何面部姿势和面部特征位置被估计为便于识别面部表情,凝视和人口统计学类别。 公认的面部表情被转化为购物者的情感状态,并将目光转化为目标和购物者的兴趣水平。 处理身体图像序列以识别购物者与给定零售元件(例如产品,品牌或类别)的交互。 在识别购物者与零售元素和人口特征类别的相互作用的背景下分析情感状态的动态变化以及从面部图像序列测量的零售元素的兴趣,以估计购物者对零售元素的态度变化 和结束响应 - 例如购买决定或产品评级。
    • 39. 发明授权
    • Method for augmenting transaction data with visually extracted demographics of people using computer vision
    • 通过使用计算机视觉的人的视觉提取的人口统计学来增加交易数据的方法
    • US08010402B1
    • 2011-08-30
    • US12386654
    • 2009-04-21
    • Rajeev SharmaHankyu MoonVarij SaurabhNamsoon Jung
    • Rajeev SharmaHankyu MoonVarij SaurabhNamsoon Jung
    • G06Q10/00G06Q30/00G06Q90/00
    • G06Q10/00G06Q30/00G06Q30/0201G06Q30/0251G06Q99/00
    • The present invention is a system and framework for augmenting any retail transaction system with information about the involved customers. This invention provides a method to combine the transaction data records and a customer or a group of customers with the automatically extracted demographic features (e.g., gender, age, and ethnicity), shopping group information, and behavioral information using computer vision algorithms. First, the system detects faces from face view, tracks them individually, and estimates poses of each of the tracked faces to normalize. These facial images are processed by the demographics classification module to determine and record the demographics feature vector. The system detects and tracks customers to analyze the dynamic behavior of the tracked customers so that their shopping group membership and checkout behavior can be recognized. Then the instances of faces and the instances of bodies can be matched and combined. Finally, the transaction data from the transaction data and the demographics, group, and checkout behavior data that belong to the same person or the same group of people are combined.
    • 本发明是用于利用关于所涉及的客户的信息来增加任何零售交易系统的系统和框架。 本发明提供了一种使用计算机视觉算法将交易数据记录与客户或一组客户结合自动提取的人口特征(例如,性别,年龄和种族),购物组信息和行为信息的方法。 首先,系统从脸部视图检测面部,分别跟踪它们,并估计每个跟踪面的姿态进行归一化。 这些面部图像由人口统计分类模块处理,以确定和记录人口统计特征向量。 系统检测并跟踪客户分析跟踪客户的动态行为,以便识别其购物组成员资格和结帐行为。 然后可以匹配和组合面部和实体的实例。 最后,来自交易数据的交易数据以及属于同一人或同一群人的人口统计,群体和结帐行为数据相结合。
    • 40. 发明授权
    • Method and system for determining the age category of people based on facial images
    • 基于面部图像确定人群年龄类别的方法和系统
    • US07912246B1
    • 2011-03-22
    • US12011748
    • 2008-01-29
    • Hankyu MoonRajeev SharmaNamsoon Jung
    • Hankyu MoonRajeev SharmaNamsoon Jung
    • G06K9/00
    • G06K9/6214G06K9/00221G06K9/6267G06K2009/00322
    • The present invention is a system and method for performing age classification or age estimation based on the facial images of people, using multi-category decomposition architecture of classifiers. In the multi-category decomposition architecture, which is a hybrid multi-classifier architecture specialized to age classification, the task of learning the concept of age against significant within-class variations, is handled by decomposing the set of facial images into auxiliary demographics classes, and the age classification is performed by an array of classifiers where each classifier, called an auxiliary class machine, is specialized to the given auxiliary class. The facial image data is annotated to assign the gender and ethnicity labels as well as the age labels. Each auxiliary class machine is trained to output both the given auxiliary class membership likelihood and the age group likelihoods. Faces are detected from the input image and individually tracked. Age sensitive feature vectors are extracted from the tracked faces and are fed to all of the auxiliary class machines to compute the desired likelihood outputs. The outputs from all of the auxiliary class machines are combined in a manner to make a final decision on the age of the given face.
    • 本发明是使用分类器的多类别分解架构,基于人脸的图像来进行年龄分类或年龄估计的系统和方法。 在多类别分解架构中,它是专门用于年龄分类的混合多分类器架构,通过将面部图像集合分解为辅助人口统计学类来处理年龄对概念内部变化的概念的任务, 并且年龄分类由分类器阵列执行,其中每个分类器(称为辅助类机器)专用于给定的辅助类。 注释面部图像数据以分配性别和种族标签以及年龄标签。 每个辅助类机器被训练以输出给定辅助类隶属度可能性和年龄组可能性。 从输入图像检测面部并单独跟踪。 从跟踪面提取年龄敏感特征向量,并将其馈送到所有辅助类机器以计算所需似然输出。 所有辅助类机器的输出结合起来,对给定面孔的年龄进行最终决定。