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1. 发明授权

US08184913B2 Clustering videos by location 有权
标题翻译：按位置分组视频
公开(公告)号：US08184913B2
公开(公告)日：2012-05-22
申请号：US12416152
申请日：2009-04-01
申请人： Simon J. Baker , Charles Lawrence Zitnick, III , Gerhard Florian Schroff
发明人： Simon J. Baker , Charles Lawrence Zitnick, III , Gerhard Florian Schroff
IPC分类号： G06K9/68
CPC分类号： G06K9/00718 , G06F17/30781 , G06F17/3082 , G06K9/6219 , Y02D10/45
摘要： Described is a technology in which video shots are clustered based upon the location at which the shots were captured. A global energy function is optimized, including a first term that computes clusters so as to be reasonably dense and well connected, to match the possible shots that are captured at a location, e.g., based on similarity scores between pairs of shots. A second term is a temporal prior that encourages subsequent shots to be placed in the same cluster. The shots may be represented as nodes of a minimum spanning tree having edges with weights that are based on the similarity score between the shots represented by their respective nodes. Agglomerative clustering is performed by selecting pairs of available clusters, merging the pairs and keeping the pair with the lowest cost. Clusters are iteratively merged until a stopping criterion or criteria is met (e.g., only a single cluster remains).
摘要翻译：描述了一种基于拍摄拍摄位置来进行视频拍摄的技术。优化了全局能量函数，包括计算集群以便相当密集和良好连接的第一项，以匹配在某个位置捕获的可能的拍摄，例如，基于拍摄对之间的相似性得分。第二个术语是时间先前，鼓励后续的镜头被放置在同一个集群中。拍摄可以被表示为具有基于由它们各自的节点表示的拍摄之间的相似性得分的权重的边缘的最小生成树的节点。通过选择成对的可用集群，合并对并保持成本最低的组合来执行集群聚类。集群被迭代合并，直到满足停止标准或条件（例如，仅剩下一个集群）。

2. 发明申请

US20100254614A1 CLUSTERING VIDEOS BY LOCATION 有权
标题翻译：按地点分组视频
公开(公告)号：US20100254614A1
公开(公告)日：2010-10-07
申请号：US12416152
申请日：2009-04-01
申请人： Simon J. Baker , Charles Lawrence Zitnick, III , Gerhard Florian Schroff
发明人： Simon J. Baker , Charles Lawrence Zitnick, III , Gerhard Florian Schroff
IPC分类号： G06K9/68
CPC分类号： G06K9/00718 , G06F17/30781 , G06F17/3082 , G06K9/6219 , Y02D10/45
摘要： Described is a technology in which video shots are clustered based upon the location at which the shots were captured. A global energy function is optimized, including a first term that computes clusters so as to be reasonably dense and well connected, to match the possible shots that are captured at a location, e.g., based on similarity scores between pairs of shots. A second term is a temporal prior that encourages subsequent shots to be placed in the same cluster. The shots may be represented as nodes of a minimum spanning tree having edges with weights that are based on the similarity score between the shots represented by their respective nodes. Agglomerative clustering is performed by selecting pairs of available clusters, merging the pairs and keeping the pair with the lowest cost. Clusters are iteratively merged until a stopping criterion or criteria is met (e.g., only a single cluster remains).
摘要翻译：描述了一种基于拍摄拍摄位置来进行视频拍摄的技术。优化了全局能量函数，包括计算集群以便相当密集和良好连接的第一项，以匹配在某个位置捕获的可能的拍摄，例如，基于拍摄对之间的相似性得分。第二个术语是时间先前，鼓励后续的镜头被放置在同一个集群中。拍摄可以被表示为具有基于由它们各自的节点表示的拍摄之间的相似性得分的权重的边缘的最小生成树的节点。通过选择成对的可用集群，合并对并保持成本最低的组合来执行集群聚类。集群被迭代合并，直到满足停止标准或条件（例如，仅剩下一个集群）。

3. 发明申请

US20120086792A1 IMAGE IDENTIFICATION AND SHARING ON MOBILE DEVICES 审中-公开
标题翻译：移动设备的图像识别和共享
公开(公告)号：US20120086792A1
公开(公告)日：2012-04-12
申请号：US12901575
申请日：2010-10-11
申请人： Amir Akbarzadeh , Simon J. Baker , David Per Zachris Nister , Scott Fynn
发明人： Amir Akbarzadeh , Simon J. Baker , David Per Zachris Nister , Scott Fynn
IPC分类号： H04N7/18 , G06K9/00
CPC分类号： H04N1/00307 , H04N1/0044 , H04N1/32037 , H04N1/32096 , H04N1/32128 , H04N2201/3205 , H04N2201/3253
摘要： Captured images are analyzed to identify portrayed individuals and/or scene elements therein. Upon user confirmation of one or more identified individuals and/or scene elements entity information is accessed to determine whether there are any available communication addresses, e.g., email addresses, SMS-based addresses, websites, etc., that correspond with or are otherwise linked to an identified individual or scene element in the current captured image. A current captured image can then be automatically transmitted, with no need for any other user effort, to those addresses located for an identified individual or scene element.
摘要翻译：分析捕获的图像以识别其中描绘的个体和/或场景元素。在用户确认一个或多个所识别的个人和/或场景元素后，访问实体信息以确定是否存在任何可用的通信地址，例如与电子邮件地址，基于SMS的地址，网站等相对应或以其他方式链接的通信地址到当前捕获的图像中的识别的个体或场景元素。然后可以自动发送当前拍摄的图像，而不需要任何其他用户的努力到位于所识别的个人或场景元素的那些地址。

4. 发明授权

US08358359B2 Reducing motion-related artifacts in rolling shutter video information 有权
标题翻译：滚动快门视频信息中减少与运动相关的人为因素
公开(公告)号：US08358359B2
公开(公告)日：2013-01-22
申请号：US12690929
申请日：2010-01-21
申请人： Simon J. Baker , Eric P. Bennett , Sing Bing Kang , Richard Szeliski
发明人： Simon J. Baker , Eric P. Bennett , Sing Bing Kang , Richard Szeliski
IPC分类号： H04N5/217 , H04N11/00 , H04N7/00 , G06K9/40
CPC分类号： G06T5/003 , G06T2207/20201
摘要： A system is described for reducing artifacts produced by a rolling shutter capture technique in the presence of high-frequency motion, e.g., produced by large accelerations or jitter. The system operates by computing low-frequency information based on the motion of points from one frame to the next. The system then uses the low-frequency information to infer the high-frequency motion, e.g., by treating the low-frequency information as known integrals of the unknown underlying high-frequency information. The system then uses the high-frequency information to reduce the presence of artifacts. In effect, the correction aims to re-render video information as though all the pixels in each frame were imaged at the same time using a global shutter technique. An auto-calibration module can estimate the value of a capture parameter, which relates to a time interval between the capture of two subsequent rows of video information.
摘要翻译：描述了一种用于在存在高频运动（例如由大的加速度或抖动产生的）的情况下减少由快门拍摄技术产生的假象的系统。该系统通过基于从一帧到下一帧的点的运动来计算低频信息来进行操作。然后，系统使用低频信息来推断高频运动，例如通过将低频信息作为未知底层高频信息的已知积分来处理。然后，系统使用高频信息来减少伪像的存在。实际上，校正旨在重新渲染视频信息，就像使用全局快门技术同时成像每个帧中的所有像素一样。自动校准模块可以估计捕获参数的值，其涉及捕获两个后续行的视频信息之间的时间间隔。

5. 发明申请

US20110176043A1 Reducing Motion-Related Artifacts in Rolling Shutter Video Information 有权
标题翻译：减少滚动快门视频信息中的运动相关人工制品
公开(公告)号：US20110176043A1
公开(公告)日：2011-07-21
申请号：US12690929
申请日：2010-01-21
申请人： Simon J. Baker , Eric P. Bennett , Sing Bing Kang , Richard Szeliski
发明人： Simon J. Baker , Eric P. Bennett , Sing Bing Kang , Richard Szeliski
IPC分类号： H04N5/335
CPC分类号： G06T5/003 , G06T2207/20201
摘要： A system is described for reducing artifacts produced by a rolling shutter capture technique in the presence of high-frequency motion, e.g., produced by large accelerations or jitter. The system operates by computing low-frequency information based on the motion of points from one frame to the next. The system then uses the low-frequency information to infer the high-frequency motion, e.g., by treating the low-frequency information as known integrals of the unknown underlying high-frequency information. The system then uses the high-frequency information to reduce the presence of artifacts. In effect, the correction aims to re-render video information as though all the pixels in each frame were imaged at the same time using a global shutter technique. An auto-calibration module can estimate the value of a capture parameter, which relates to a time interval between the capture of two subsequent rows of video information.
摘要翻译：描述了一种用于在存在高频运动（例如由大的加速度或抖动产生的）的情况下减少由快门拍摄技术产生的假象的系统。该系统通过基于从一帧到下一帧的点的运动来计算低频信息来进行操作。然后，系统使用低频信息来推断高频运动，例如通过将低频信息作为未知底层高频信息的已知积分来处理。然后，系统使用高频信息来减少伪像的存在。实际上，校正旨在重新渲染视频信息，就像使用全局快门技术同时成像每个帧中的所有像素一样。自动校准模块可以估计捕获参数的值，其涉及捕获两个后续行的视频信息之间的时间间隔。

6. 发明授权

US08325999B2 Assisted face recognition tagging 有权
标题翻译：辅助面部识别标记
公开(公告)号：US08325999B2
公开(公告)日：2012-12-04
申请号：US12479879
申请日：2009-06-08
申请人： Ashish Kapoor , Gang Hua , Amir Akbarzadeh , Simon J. Baker
发明人： Ashish Kapoor , Gang Hua , Amir Akbarzadeh , Simon J. Baker
IPC分类号： G06K9/00
CPC分类号： G06K9/72 , G06K9/00288 , G06K9/6254 , G06K2209/27
摘要： The described implementations relate to assisted face recognition tagging of digital images, and specifically to context-driven assisted face recognition tagging. In one case, context-driven assisted face recognition tagging (CDAFRT) tools can access face images associated with a photo gallery. The CDAFRT tools can perform context-driven face recognition to identify individual face images at a specified probability. In such a configuration, the probability that the individual face images are correctly identified can be higher than attempting to identify individual face images in isolation.
摘要翻译：所描述的实现涉及数字图像的辅助面部识别标记，并且具体涉及上下文驱动的辅助人脸识别标签。在一种情况下，上下文驱动的辅助人脸识别标签（CDAFRT）工具可以访问与照片库相关联的面部图像。 CDAFRT工具可以执行上下文驱动的面部识别，以指定的概率识别个人脸部图像。在这种配置中，个体面部图像被正确识别的概率可以高于孤立地识别个人脸部图像的概率。

7. 发明申请

US20100310134A1 ASSISTED FACE RECOGNITION TAGGING 有权
标题翻译：辅助面部识别标签
公开(公告)号：US20100310134A1
公开(公告)日：2010-12-09
申请号：US12479879
申请日：2009-06-08
申请人： Ashish Kapoor , Gang Hua , Amir Akbarzadeh , Simon J. Baker
发明人： Ashish Kapoor , Gang Hua , Amir Akbarzadeh , Simon J. Baker
IPC分类号： G06K9/00
CPC分类号： G06K9/72 , G06K9/00288 , G06K9/6254 , G06K2209/27
摘要： The described implementations relate to assisted face recognition tagging of digital images, and specifically to context-driven assisted face recognition tagging. In one case, context-driven assisted face recognition tagging (CDAFRT) tools can access face images associated with a photo gallery. The CDAFRT tools can perform context-driven face recognition to identify individual face images at a specified probability. In such a configuration, the probability that the individual face images are correctly identified can be higher than attempting to identify individual face images in isolation.
摘要翻译：所描述的实现涉及数字图像的辅助面部识别标记，并且具体涉及上下文驱动的辅助人脸识别标签。在一种情况下，上下文驱动的辅助人脸识别标签（CDAFRT）工具可以访问与照片库相关联的面部图像。 CDAFRT工具可以执行上下文驱动的面部识别，以指定的概率识别个人脸部图像。在这种配置中，个体面部图像被正确识别的概率可以高于孤立地识别个人脸部图像的概率。

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