专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08924993B1 Video content analysis for automatic demographics recognition of users and videos 有权
标题翻译：用于用户和视频的自动人口统计识别的视频内容分析
公开(公告)号：US08924993B1
公开(公告)日：2014-12-30
申请号：US13294156
申请日：2011-11-10
申请人： Juan Carlos Niebles Duque , Hrishikesh Balkrishna Aradhye , Luciano Sbaiz , Jay N. Yagnik , Reto Strobl
发明人： Juan Carlos Niebles Duque , Hrishikesh Balkrishna Aradhye , Luciano Sbaiz , Jay N. Yagnik , Reto Strobl
IPC分类号： H04H60/33
CPC分类号： G06N99/005 , G06F17/30781 , G06K9/00744 , H04L65/4084 , H04N21/23418 , H04N21/252 , H04N21/25883 , H04N21/25891
摘要： A demographics analysis trains classifier models for predicting demographic attribute values of videos and users not already having known demographics.In one embodiment, the demographics analysis system trains classifier models for predicting demographics of videos using video features such as demographics of video uploaders, textual metadata, and/or audiovisual content of videos.In one embodiment, the demographics analysis system trains classifier models for predicting demographics of users (e.g., anonymous users) using user features based on prior video viewing periods of users. For example, viewing-period based user features can include individual viewing period statistics such as total videos viewed. Further, the viewing-period based features can include distributions of values over the viewing period, such as distributions in demographic attribute values of video uploaders, and/or distributions of viewings over hours of the day, days of the week, and the like.
摘要翻译：人口统计学分析训练分类器模型，用于预测未知人口统计信息的视频和用户的人口特性值。在一个实施例中，人口统计分析系统训练分类器模型，以使用诸如视频上传者的人口统计学，文本元数据和/或视频的视听内容的视频特征来预测视频的人口统计。在一个实施例中，人口统计分析系统训练分类器模型，以基于用户的先前视频观看时段使用用户特征来预测用户（例如，匿名用户）的人口统计。例如，基于观看期的用户特征可以包括个体观看期间统计，例如观看的总视频。此外，基于观看期间的特征可以包括在观看期间的值的分布，诸如视频上传者的人口统计属性值中的分布，和/或一天中的几天，星期几等的观看次数分布。

2. 发明申请

US20110121421A1 IMAGE SENSOR HAVING NONLINEAR RESPONSE 有权
标题翻译：具有非线性响应的图像传感器
公开(公告)号：US20110121421A1
公开(公告)日：2011-05-26
申请号：US12992235
申请日：2009-04-09
申请人： Edoardo Charbon , Luciano Sbaiz , Martin Vetterli , Sabine Susstrunk
发明人： Edoardo Charbon , Luciano Sbaiz , Martin Vetterli , Sabine Susstrunk
IPC分类号： H01L27/146
CPC分类号： H04N5/355 , H01L27/14627 , H01L27/14645 , H04N5/347
摘要： In previously known imaging devices as in still and motion cameras, for example, image sensor signal response typically is linear as a function of intensity of incident light. Desirably, however, akin to the response of the human eye, response is sought to be nonlinear and, more particularly, essentially logarithmic. Preferred nonlinearity is realized in image sensor devices of the invention upon severely limiting the number of pixel states, combined with clustering of pixels into what may be termed as super-pixels.
摘要翻译：在诸如在静止摄像机和运动摄像机中的先前已知的成像装置中，例如，图像传感器信号响应通常作为入射光的强度的函数是线性的。然而，理想地，类似于人眼的反应，反应被寻求为非线性的，更具体地，本质上是对数的。在严格限制像素状态的数量，结合像素的聚类到被称为超像素的情况下，在本发明的图像传感器装置中实现优选的非线性。

3. 发明授权

US08958484B2 Enhanced image and video super-resolution processing 有权
标题翻译：增强的图像和视频超分辨率处理
公开(公告)号：US08958484B2
公开(公告)日：2015-02-17
申请号：US12539432
申请日：2009-08-11
申请人： Luciano Sbaiz
发明人： Luciano Sbaiz
IPC分类号： G06T1/00 , H04N7/01
CPC分类号： G06T1/00 , H04N7/0125
摘要： A system and method generates super-resolution images and videos using motion-compensated low-resolution images and videos. An image is selected as a primary image from a plurality of low-resolution images and the rest of the low-resolution images are registered as secondary images with respect to the primary image. Each registered secondary image is transformed to a motion compensated image. A mask value for a pixel in each motion compensated image is estimated. The super-resolution image of the primary image is generated by combining the mask values and the motion compensated secondary images. Similarly, a low-resolution video is segmented into a plurality of video objects, each of which is represented by an alpha layer. A super-resolution frame of the segmented video object is generated. The super-resolution frames of each segmented video object are combined using the alpha layers to create a super-resolution frame of the resulting video.
摘要翻译：系统和方法使用运动补偿低分辨率图像和视频生成超分辨率图像和视频。从多个低分辨率图像中选择图像作为主图像，并且剩下的低分辨率图像被登记为相对于主图像的次图像。将每个已注册的次要图像变换为运动补偿图像。估计每个运动补偿图像中的像素的掩码值。通过组合掩模值和运动补偿次级图像来生成主图像的超分辨率图像。类似地，低分辨率视频被分割成多个视频对象，每个视频对象由α层表示。生成分割视频对象的超分辨率帧。使用alpha层组合每个分段视频对象的超分辨率帧，以创建所得视频的超分辨率帧。

4. 发明授权

US08819024B1 Learning category classifiers for a video corpus 有权
标题翻译：学习视频语料库的类别分类器
公开(公告)号：US08819024B1
公开(公告)日：2014-08-26
申请号：US12950955
申请日：2010-11-19
申请人： George Toderici , Hrishikesh Aradhye , Alexandru Marius Pasca , Luciano Sbaiz , Jay Yagnik
发明人： George Toderici , Hrishikesh Aradhye , Alexandru Marius Pasca , Luciano Sbaiz , Jay Yagnik
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30731 , G06K9/00718
摘要： A classifier training system learns classifiers for categories by combining data from a category-instance repository comprising relationships between categories and more specific instances of those categories with a set of video classifiers for different concepts. The category-instance repository is derived from the domain of textual documents, such as web pages, and the concept classifiers are derived from the domain of video. Taken together, the category-instance repository and the concept classifiers provide sufficient data for obtaining accurate classifiers for categories that encompass other lower-level concepts, where the categories and their classifiers may not be obtainable solely from the video domain.
摘要翻译：分类器训练系统通过将包括类别之间的关系的类别实例存储库的数据与这些类别的更具体的实例组合用于不同概念的一组视频分类器来学习类别的分类器。类别实例存储库是从文本文档的领域（如Web页面）导出的，概念分类器是从视频域派生的。总而言之，类别实例存储库和概念分类器提供足够的数据，以便为包含其他较低级别概念的类别获取准确的分类器，其中类别及其分类可能无法仅从视频域获得。

5. 发明授权

US08633996B2 Image sensor having nonlinear response 有权
标题翻译：具有非线性响应的图像传感器
公开(公告)号：US08633996B2
公开(公告)日：2014-01-21
申请号：US12992235
申请日：2009-04-09
申请人： Edoardo Charbon , Luciano Sbaiz , Martin Vetterli , Sabine Susstrunk
发明人： Edoardo Charbon , Luciano Sbaiz , Martin Vetterli , Sabine Susstrunk
IPC分类号： H04N5/225
CPC分类号： H04N5/355 , H01L27/14627 , H01L27/14645 , H04N5/347
摘要： In previously known imaging devices as in still and motion cameras, for example, image sensor signal response typically is linear as a function of intensity of incident light. Desirably, however, akin to the response of the human eye, response is sought to be nonlinear and, more particularly, essentially logarithmic. Preferred nonlinearity is realized in image sensor devices of the invention upon severely limiting the number of pixel states, combined with clustering of pixels into what may be termed as super-pixels.
摘要翻译：在诸如在静止摄像机和运动摄像机中的先前已知的成像装置中，例如，图像传感器信号响应通常作为入射光的强度的函数是线性的。然而，理想地，类似于人眼的反应，反应被寻求为非线性的，更具体地，本质上是对数的。在严格限制像素状态的数量，结合像素的聚类到被称为超像素的情况下，在本发明的图像传感器装置中实现优选的非线性。

6. 发明授权

US09357178B1 Video-revenue prediction tool 有权
标题翻译：视频收益预测工具
公开(公告)号：US09357178B1
公开(公告)日：2016-05-31
申请号：US13601073
申请日：2012-08-31
申请人： Jesse Berent , Luciano Sbaiz
发明人： Jesse Berent , Luciano Sbaiz
IPC分类号： H04N7/16 , H04N7/173
CPC分类号： H04N7/17309 , H04N21/23418 , H04N21/251 , H04N21/2543 , H04N21/84
摘要： Described herein are techniques related to prediction of video revenue for non-monetized videos. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope and meaning of the claims. A video-revenue prediction tool predicts revenue for non-monetized videos using historical revenue data of monetized videos.
摘要翻译：这里描述的是与非营利视频的视频收入预测相关的技术。提交本摘要的理解是，它不会用于解释或限制权利要求的范围和含义。视频收入预测工具使用获利视频的历史收入数据预测非营利影片的收入。

7. 发明授权

US07042493B2 Automated stroboscoping of video sequences 有权
标题翻译：视频序列自动频闪
公开(公告)号：US07042493B2
公开(公告)日：2006-05-09
申请号：US09828028
申请日：2001-04-06
申请人： Paolo Prandoni , Emmanuel Reusens , Martin Vetterli , Luciano Sbaiz , Serge Ayer
发明人： Paolo Prandoni , Emmanuel Reusens , Martin Vetterli , Luciano Sbaiz , Serge Ayer
IPC分类号： H04N7/18
CPC分类号： H04N7/188 , H04N5/2625 , H04N5/272
摘要： Standard video footage even from a single video camera can be used to obtain, in an automated fashion, a stroboscope sequence of a sports event, for example. The sequence may be represented as a static images of a photographic nature, or by a video sequence in which camera motion remains present, in which case the video sequence can be rendered as a panning camera movement on a stroboscope picture or as an animated stroboscope sequence in which the moving object leaves a trailing trace of copies along its path. Multiple cameras can be used for an expanded field of view or for comparison of multiple sequences, for example.
摘要翻译：可以使用来自单个摄像机的标准视频素材以自动方式获得运动事件的频闪镜序列。该序列可以表示为摄影性质的静态图像，或通过其中相机运动保持存在的视频序列来表示，在这种情况下，视频序列可以呈现为频闪图像上的平移相机运动或者作为动画频闪镜序列其中移动物体沿其路径留下副本的尾迹。例如，多个摄像机可用于扩展视野或用于比较多个序列。

8. 发明授权

US09953438B2 Image annotation on portable devices 有权
公开(公告)号：US09953438B2
公开(公告)日：2018-04-24
申请号：US13060777
申请日：2011-02-25
申请人： Luciano Sbaiz , Martin Vetterli
发明人： Luciano Sbaiz , Martin Vetterli
IPC分类号： G06F17/00 , G06T11/00 , H04N1/00 , H04N1/32 , H04N1/387 , G06T19/00 , G06K9/00
CPC分类号： G06T11/00 , G06K9/00671 , G06K9/00979 , G06T19/006 , H04N1/00323 , H04N1/32203 , H04N1/32229 , H04N1/387 , H04N2201/0084 , H04N2201/0089 , H04N2201/3226 , H04N2201/3253 , H04N2201/3266 , H04N2201/3273
摘要： A system for automated annotation of images and videos points a mobile device towards an object of interest, such as a building or landscape scenery, for the device to display an image of the scene with an annotation for the object. An annotation can include names, historical information, and links to databases of images, videos, and audio files. Different techniques can be used for determining positional placement of annotations, and, by using multiple techniques, positioning can be made more precise and reliable. The level of detail of annotation information can be adjusted according to the precision of the techniques used. A trade-off can be taken into account between precision of annotation and communication cost, delay and/or power consumption. An annotation database can be updated in a self-organizing way. Public information as available on the web can be converted to annotation data.

9. 发明授权

US09462313B1 Prediction of media selection consumption using analysis of user behavior 有权
标题翻译：使用用户行为分析预测媒体选择消费
公开(公告)号：US09462313B1
公开(公告)日：2016-10-04
申请号：US13600640
申请日：2012-08-31
申请人： Luciano Sbaiz , Jesse Berent
发明人： Luciano Sbaiz , Jesse Berent
IPC分类号： H04H60/32 , H04N21/258 , H04H60/46 , G06F3/00
CPC分类号： H04N21/25891 , G06Q30/02 , H04H60/46 , H04N21/251 , H04N21/44222 , H04N21/4662 , H04N21/6582
摘要： Techniques are shown for predicting the number of times a media selection will be consumed by one or more users at a target time. Examples of user behavior during the consumption of a media selection are chosen as input features. A partitioner separates a set of media selections into a training subset and an evaluation subset. The input features are transformed into feature vectors, and a learned function is derived to define a relationship between the feature vector for the training subset and the number of times a media selection from the training subset is consumed. The learned function is then applied to a feature vector for the evaluation subset to test its accuracy.
摘要翻译：示出了用于预测一个或多个用户在目标时间将消耗媒体选择的次数的技术。选择消费媒体选择期间的用户行为的示例被选择为输入特征。分割器将一组媒体选择分离成训练子集和评估子集。输入特征被转换成特征向量，并且导出学习的函数来定义训练子集的特征向量与来自训练子集的媒体选择被消耗的次数之间的关系。然后将学习的函数应用于评估子集的特征向量以测试其准确度。

10. 发明授权

US08977074B1 Urban geometry estimation from laser measurements 有权
标题翻译：激光测量的城市几何估计
公开(公告)号：US08977074B1
公开(公告)日：2015-03-10
申请号：US13247718
申请日：2011-09-28
申请人： Jesse Berent , Daniel Filip , Luciano Sbaiz
发明人： Jesse Berent , Daniel Filip , Luciano Sbaiz
IPC分类号： G06K9/00
CPC分类号： G06T19/20 , G06T15/205 , G06T17/05 , G06T2219/2004
摘要： Photographic images can be used to enhance three-dimensional (3D) virtual models of a physical location. In an embodiment, a method of generating a 3D scene geometry includes obtaining a first plurality of images and corresponding distance measurements for a first vehicle trajectory; obtaining a second plurality of images and corresponding distance measurements for a second vehicle trajectory, the second vehicle trajectory intersecting the first vehicle trajectory; registering a relative vehicle position and orientation for one or more segments of each of a first vehicle trajectory and a second vehicle trajectory; generating a three-dimensional geometry for each vehicle trajectory; mapping the three-dimensional geometries for each vehicle trajectory onto a common reference system based on the registering; and merging the three-dimensional geometries from both trajectories to generate a complete scene geometry.
摘要翻译：摄影图像可用于增强物理位置的三维（3D）虚拟模型。在一个实施例中，生成3D场景几何的方法包括获得第一车辆轨迹的第一多个图像和对应的距离测量; 获得用于第二车辆轨迹的第二多个图像和对应的距离测量，所述第二车辆轨迹与所述第一车辆轨迹相交; 记录第一车辆轨迹和第二车辆轨迹中的每一个的一个或多个段的相对车辆位置和方位; 为每个车辆轨迹生成三维几何; 基于登记将每个车辆轨迹的三维几何映射到公共参考系上; 并且从两个轨迹合并三维几何以产生完整的场景几何。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式