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. 发明申请

US20150078680A1 Grading Images and Video Clips 有权
标题翻译：分级图像和视频剪辑
公开(公告)号：US20150078680A1
公开(公告)日：2015-03-19
申请号：US14231611
申请日：2014-03-31
申请人： Babak Robert Shakib , Yuriy Musatenko , Oleksii Kasitskyi
发明人： Babak Robert Shakib , Yuriy Musatenko , Oleksii Kasitskyi
IPC分类号： G06F17/30
CPC分类号： G11B27/02 , G06F3/04842 , G06F3/04845 , G06F3/04847 , G06F3/0488 , G06F17/30038 , G06F17/30256 , G06F17/30268 , G06F17/30784 , G06K9/00288 , G06T7/0002 , G06T11/60 , G06T2200/24 , G06T2200/32 , G11B27/034 , G11B27/10 , H04N1/212
摘要： Techniques apparatuses for grading images and video clips are described. These techniques and apparatuses enable highlights of these graded images and video clips to be more-quickly created, at a high quality, or using fewer resources.
摘要翻译：描述用于对图像和视频剪辑进行分级的技术装置。这些技术和设备使这些分级图像和视频剪辑的亮点能够以更高的质量或更少的资源被更快地创建。

2. 发明申请

US20150078732A1 Highlight Reels 有权
标题翻译：突出显示卷轴
公开(公告)号：US20150078732A1
公开(公告)日：2015-03-19
申请号：US14231573
申请日：2014-03-31
申请人： Babak Robert Shakib , Yuriy Musatenko , Oleksii Kasitskyi
发明人： Babak Robert Shakib , Yuriy Musatenko , Oleksii Kasitskyi
IPC分类号： G11B27/02 , G06K9/00 , G11B27/10
CPC分类号： G11B27/02 , G06F3/04842 , G06F3/04845 , G06F3/04847 , G06F3/0488 , G06F17/30038 , G06F17/30256 , G06F17/30268 , G06F17/30784 , G06K9/00288 , G06T7/0002 , G06T11/60 , G06T2200/24 , G06T2200/32 , G11B27/034 , G11B27/10 , H04N1/212
摘要： Techniques and apparatuses for generating highlight reels are described. These techniques and apparatuses enable a user to quickly and easily generate a highlight reel to highlight audiovisual media, such as photos and video clips.
摘要翻译：描述用于生成高亮卷轴的技术和装置。这些技术和装置使得用户能够快速且容易地生成高亮线条，以突显诸如照片和视频剪辑的视听媒体。

3. 发明申请

US20150078726A1 Sharing Highlight Reels 审中-公开
标题翻译：共享亮点卷轴
公开(公告)号：US20150078726A1
公开(公告)日：2015-03-19
申请号：US14231546
申请日：2014-03-31
申请人： Babak Robert Shakib , Yuriy Musatenko , Andrii Tsarov
发明人： Babak Robert Shakib , Yuriy Musatenko , Andrii Tsarov
IPC分类号： G11B27/034 , H04N1/21
CPC分类号： G11B27/02 , G06F3/04842 , G06F3/04845 , G06F3/04847 , G06F3/0488 , G06F16/48 , G06F16/5838 , G06F16/5866 , G06F16/783 , G06K9/00288 , G06T7/0002 , G06T11/60 , G06T2200/24 , G06T2200/32 , G11B27/034 , G11B27/10 , H04N1/212
摘要： Techniques and apparatuses for sharing highlight reels are described. This document describes techniques that allow a user to quickly and easily generate a highlight reel. The techniques also enable sharing of these highlight reels, in some cases automatically on creating the highlight reel, such as to persons known to be shown in the highlight reel.
摘要翻译：描述用于共享高亮卷轴的技术和装置。本文档描述了允许用户快速轻松地生成高亮线条的技术。这些技术还使得能够共享这些高亮卷轴，在某些情况下自动地创建高亮轮盘，例如已知显示在高亮轮盘中的人。

4. 发明申请

US20150082172A1 Highlighting Media Through Weighting of People or Contexts 审中-公开
标题翻译：通过加权人或背景强调媒体
公开(公告)号：US20150082172A1
公开(公告)日：2015-03-19
申请号：US14231644
申请日：2014-03-31
申请人： Babak Robert Shakib , Yuriy Musatenko , Andrii Gushchyk
发明人： Babak Robert Shakib , Yuriy Musatenko , Andrii Gushchyk
IPC分类号： G06F3/0484 , G06T11/60 , G11B27/02
CPC分类号： G11B27/02 , G06F3/04842 , G06F3/04845 , G06F3/04847 , G06F3/0488 , G06F16/48 , G06F16/5838 , G06F16/5866 , G06F16/783 , G06K9/00288 , G06T7/0002 , G06T11/60 , G06T2200/24 , G06T2200/32 , G11B27/034 , G11B27/10 , H04N1/212
摘要： Techniques and apparatuses for highlighting media through weighting of people or contexts are described. This document describes techniques that allow a user to quickly and easily highlight media, such as through generating a highlight reel. The techniques also enable selection of context and person weightings by which to tailor highlight reels.
摘要翻译：描述通过加权人或背景来突出媒体的技术和设备。本文档描述允许用户快速且容易地突出媒体的技术，例如通过生成高亮轮。这些技术还可以选择用于定制突出显示卷轴的上下文和人员权重。

5. 发明申请

US20100067745A1 SYSTEM AND METHOD FOR OBJECT CLUSTERING AND IDENTIFICATION IN VIDEO 有权
标题翻译：在视频中对象聚类和识别的系统和方法
公开(公告)号：US20100067745A1
公开(公告)日：2010-03-18
申请号：US12211493
申请日：2008-09-16
申请人： Ivan Kovtun , Yuriy Musatenko , Mykhailo Schlesinger
发明人： Ivan Kovtun , Yuriy Musatenko , Mykhailo Schlesinger
IPC分类号： G06K9/00
CPC分类号： G06K9/6276 , G06K9/00711 , G06K9/6215 , G06K2209/27
摘要： Embodiments of computer implemented methods and systems for object clustering and identification are described. One example embodiment includes receiving an unclustered video object, determining a first distance between the unclustered video object and an arbitrary representative video object, the arbitrary representative video object being selected from representative video objects, estimating distances between the unclustered video object and the representative video objects based on the first distance and precalculated distances between the arbitrary representative video object and the representative video objects, and, based on the estimated distances, selectively associating the unclustered video object with a video cluster, thereby producing a clustered video object.
摘要翻译：描述了用于对象聚类和识别的计算机实现的方法和系统的实施例。一个示例性实施例包括：接收未聚簇视频对象，确定未聚簇视频对象与任意代表视频对象之间的第一距离，从代表性视频对象中选择的任意代表性视频对象，估计未分簇视频对象与代表视频对象之间的距离基于所述任意代表视频对象与所述代表性视频对象之间的所述第一距离和预先计算的距离，并且基于所述估计距离，选择性地将所述未分簇视频对象与视频群组相关联，由此产生聚类视频对象。

6. 发明授权

US08315430B2 Object recognition and database population for video indexing 有权
标题翻译：视频索引的对象识别和数据库数据
公开(公告)号：US08315430B2
公开(公告)日：2012-11-20
申请号：US11949258
申请日：2007-12-03
申请人： Ivan Kovtun , Oleksandr Zhukov , Yuriy Musatenko , Mykhailo Schlesinger
发明人： Ivan Kovtun , Oleksandr Zhukov , Yuriy Musatenko , Mykhailo Schlesinger
IPC分类号： G06K9/00
CPC分类号： G06K9/00288 , G06F17/30793 , G06K9/00718 , G06K9/622
摘要： A method for processing digital media is described. The method, in one example embodiment, includes identification of objects in a video stream by detecting, for each video frame, an object in the video frame and selectively associating the object with an object cluster. The method may further include comparing the object in the object cluster to a reference object and selectively associating object data of the reference object with all objects within the object cluster based on the comparing. The method may further include manually associating the object data of the reference object with all objects within the object cluster having no associated reference object and populating a reference database with the reference object for the object cluster.
摘要翻译：描述了处理数字媒体的方法。在一个示例实施例中，该方法包括通过针对每个视频帧检测视频帧中的对象并且选择性地将对象与对象簇相关联来识别视频流中的对象。该方法还可以包括将对象集群中的对象与参考对象进行比较，并且基于该比较选择性地将对象对象的对象数据与对象集群内的所有对象相关联。该方法还可以包括手动地将引用对象的对象数据与不具有相关联的引用对象的对象集群内的所有对象相关联，并且使用对象集群的引用对象填充引用数据库。

7. 发明授权

US08064653B2 Method and system of person identification by facial image 有权
标题翻译：人脸识别方法及系统
公开(公告)号：US08064653B2
公开(公告)日：2011-11-22
申请号：US11947588
申请日：2007-11-29
申请人： Volodymyr Kyyko , Vyacheslav Matsello , Andriy Tsariov , Yuriy Musatenko , Mykhailo Schlezinger , Kostiantyn Kyiko , Oleksii Nedashkivskyi
发明人： Volodymyr Kyyko , Vyacheslav Matsello , Andriy Tsariov , Yuriy Musatenko , Mykhailo Schlezinger , Kostiantyn Kyiko , Oleksii Nedashkivskyi
IPC分类号： G06K9/00 , G06K9/36
CPC分类号： G06K9/6202 , G06K9/00208 , G06K9/00248 , G06K9/00288
摘要： A method to recognize a facial image is described. An input facial image is normalized by scaling and rotation angle using methods of eye pupil centers detection. The input facial image is further normalized by lighting intensity. Template images are obtained either by the processing of certain images taken from different face positions, or by a preliminary reconstruction of a 3D face model based on stereo-pair images. Using the 3D model template, facial images are generated at different rotation angles. Distances between the input facial image and the template image are calculated from the Discrete Cosine Transformation (DCT) features, defined by overlapped blocks of these images. The facial image is recognized based on these distances.
摘要翻译：描述识别面部图像的方法。使用眼睛瞳孔中心检测的方法，通过缩放和旋转角度对输入面部图像进行归一化。输入面部图像通过照明强度进一步归一化。通过处理从不同脸部位置拍摄的某些图像，或者通过基于立体对图像的3D脸部模型的初步重建获得模板图像。使用3D模型模板，以不同的旋转角度生成面部图像。输入面部图像和模板图像之间的距离由离散余弦变换（DCT）特征计算，由这些图像的重叠块定义。基于这些距离识别面部图像。

8. 发明授权

US08150169B2 System and method for object clustering and identification in video 有权
标题翻译：视频中对象聚类和识别的系统和方法
公开(公告)号：US08150169B2
公开(公告)日：2012-04-03
申请号：US12211493
申请日：2008-09-16
申请人： Ivan Kovtun , Yuriy Musatenko , Mykhailo Schlesinger
发明人： Ivan Kovtun , Yuriy Musatenko , Mykhailo Schlesinger
IPC分类号： G06K9/62 , G06K9/34
CPC分类号： G06K9/6276 , G06K9/00711 , G06K9/6215 , G06K2209/27
摘要： Embodiments of computer implemented methods and systems for object clustering and identification are described. One example embodiment includes receiving an unclustered video object, determining a first distance between the unclustered video object and an arbitrary representative video object, the arbitrary representative video object being selected from representative video objects, estimating distances between the unclustered video object and the representative video objects based on the first distance and precalculated distances between the arbitrary representative video object and the representative video objects, and, based on the estimated distances, selectively associating the unclustered video object with a video cluster, thereby producing a clustered video object.
摘要翻译：描述了用于对象聚类和识别的计算机实现的方法和系统的实施例。一个示例性实施例包括：接收未聚簇视频对象，确定未聚簇视频对象与任意代表视频对象之间的第一距离，从代表性视频对象中选择的任意代表性视频对象，估计未分簇视频对象与代表视频对象之间的距离基于所述任意代表视频对象与所述代表性视频对象之间的所述第一距离和预先计算的距离，并且基于所述估计距离，选择性地将所述未分簇视频对象与视频群组相关联，由此产生聚类视频对象。

9. 发明申请

US20130170759A1 Method and System of Person Identification by Facial Image 审中-公开
标题翻译：人脸识别方法与系统
公开(公告)号：US20130170759A1
公开(公告)日：2013-07-04
申请号：US13460733
申请日：2012-04-30
申请人： Volodymyr Kyyko , Vyacheslav Matsello , Andriy Tsariov , Yuriy Musatenko , Mykhailo Schlesinger , Kostiantyn Kyiko , Oleksii Nedashkivskyi
发明人： Volodymyr Kyyko , Vyacheslav Matsello , Andriy Tsariov , Yuriy Musatenko , Mykhailo Schlesinger , Kostiantyn Kyiko , Oleksii Nedashkivskyi
IPC分类号： G06K9/62
CPC分类号： G06K9/6202 , G06K9/00208 , G06K9/00248 , G06K9/00288
摘要： A method to recognize a facial image is described. An input facial image is normalized by scaling and rotation angle using methods of eye pupil centers detection. The input facial image is further normalized by lighting intensity. Template images are obtained either by the processing of certain images taken from different face positions, or by a preliminary reconstruction of a 3D face model based on stereo-pair images. Using the 3D model template, facial images are generated at different rotation angles. Distances between the input facial image and the template image are calculated from the Discrete Cosine Transformation (DCT) features, defined by overlapped blocks of these images. The facial image is recognized based on these distances.
摘要翻译：描述识别面部图像的方法。使用眼睛瞳孔中心检测的方法，通过缩放和旋转角度对输入面部图像进行归一化。输入面部图像通过照明强度进一步归一化。通过处理从不同脸部位置拍摄的某些图像，或者通过基于立体对图像的3D脸部模型的初步重建获得模板图像。使用3D模型模板，以不同的旋转角度生成面部图像。输入面部图像和模板图像之间的距离由离散余弦变换（DCT）特征计算，由这些图像的重叠块定义。基于这些距离识别面部图像。

10. 发明申请

US20120027270A1 Method and System of Person Identification by Facial Image 有权
标题翻译：人脸识别方法与系统
公开(公告)号：US20120027270A1
公开(公告)日：2012-02-02
申请号：US13270155
申请日：2011-10-10
申请人： Volodymyr Kyyko , Vyacheslav Matsello , Andriy Tsariov , Yuriy Musatenko , Mykhailo Schlesinger , Kostiantyn Kyiko , Oleksii Nedashkivskyi
发明人： Volodymyr Kyyko , Vyacheslav Matsello , Andriy Tsariov , Yuriy Musatenko , Mykhailo Schlesinger , Kostiantyn Kyiko , Oleksii Nedashkivskyi
IPC分类号： G06K9/00
CPC分类号： G06K9/6202 , G06K9/00208 , G06K9/00248 , G06K9/00288
摘要： A method to recognize a facial image is described. An input facial image is normalized by scaling and rotation angle using methods of eye pupil centers detection. The input facial image is further normalized by lighting intensity. Template images are obtained either by the processing of certain images taken from different face positions, or by a preliminary reconstruction of a 3D face model based on stereo-pair images. Using the 3D model template, facial images are generated at different rotation angles. Distances between the input facial image and the template image are calculated from the Discrete Cosine Transformation (DCT) features, defined by overlapped blocks of these images. The facial image is recognized based on these distances.
摘要翻译：描述识别面部图像的方法。使用眼睛瞳孔中心检测的方法，通过缩放和旋转角度对输入面部图像进行归一化。输入面部图像通过照明强度进一步归一化。通过处理从不同脸部位置拍摄的某些图像，或者通过基于立体对图像的3D脸部模型的初步重建获得模板图像。使用3D模型模板，以不同的旋转角度生成面部图像。输入面部图像和模板图像之间的距离由离散余弦变换（DCT）特征计算，由这些图像的重叠块定义。基于这些距离识别面部图像。

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