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61. 发明申请

US20070019884A1 MODELING REFLECTIONS WITHIN AN IMAGE SEQUENCE 有权
标题翻译：在图像序列中建模反射
公开(公告)号：US20070019884A1
公开(公告)日：2007-01-25
申请号：US11534647
申请日：2006-09-23
申请人： Nebojsa Jojic , Brendan Frey
发明人： Nebojsa Jojic , Brendan Frey
IPC分类号： G06K9/36 , G06T17/00
CPC分类号： G06T7/215 , G06T2207/10016 , G06T2207/30196
摘要： A simplified general model and an associated estimation algorithm is provided for modeling visual data such as a video sequence. Specifically, images or frames in a video sequence are represented as collections of flat moving objects that change their appearance and shape over time, and can occlude each other over time. A statistical generative model is defined for generating such visual data where parameters such as appearance bit maps and noise, shape bit-maps and variability in shape, etc., are known. Further, when unknown, these parameters are estimated from visual data without prior pre-processing by using a maximization algorithm. By parameter estimation and inference in the model, visual data is segmented into components which facilitates sophisticated applications in video or image editing, such as, for example, object removal or insertion, tracking and visual surveillance, video browsing, photo organization, video compositing, etc.
摘要翻译：提供了简化的一般模型和相关联的估计算法用于对诸如视频序列的视觉数据进行建模。具体来说，视频序列中的图像或帧被表示为随时间改变其外观和形状的平坦移动对象的集合，并且可以随着时间而彼此闭塞。定义了统计生成模型，用于生成这样的视觉数据，其中诸如出现位图和噪声，形状位图和形状变异等参数是已知的。此外，当未知时，这些参数是通过使用最大化算法从视觉数据估计而没有预先预处理的。通过模型中的参数估计和推理，视觉数据被分割成有助于视频或图像编辑中的复杂应用的组件，例如对象去除或插入，跟踪和视觉监视，视频浏览，照片组织，视频合成，等等

62. 发明授权

US06785419B1 System and method to facilitate pattern recognition by deformable matching 失效
公开(公告)号：US06785419B1
公开(公告)日：2004-08-31
申请号：US09748564
申请日：2000-12-22
申请人： Nebojsa Jojic , Patrice Simard
发明人： Nebojsa Jojic , Patrice Simard
IPC分类号： G06K948
CPC分类号： G06K9/6206 , Y10S707/99936
摘要： A system and method to facilitate pattern recognition or matching between patterns are disclosed that is substantially invariant to small transformations. A substantially smooth deformation field is applied to a derivative of a first pattern and a resulting deformation component is added to the first pattern to derive a first deformed pattern. An indication of similarity between the first pattern and a second pattern may be determined by minimizing the distance between the first deformed pattern and the second pattern with respect to deformation coefficients associated with each deformed pattern. The foregoing minimization provides a system (e.g., linear) that may be solved with standard methods.

63. 发明申请

US20100238266A1 GENERATIVE MODELS FOR CONSTRUCTING PANORAMAS FROM AN IMAGE SEQUENCE 有权
标题翻译：从图像序列构建全景的一般模型
公开(公告)号：US20100238266A1
公开(公告)日：2010-09-23
申请号：US12794765
申请日：2010-06-06
申请人： Nebojsa Jojic , Brendan J. Frey
发明人： Nebojsa Jojic , Brendan J. Frey
IPC分类号： H04N7/00
CPC分类号： G06T7/215 , G06T2207/10016 , G06T2207/30196
摘要： A simplified general model and an associated estimation algorithm is provided for modeling visual data such as a video sequence. Specifically, images or frames in a video sequence are represented as collections of flat moving objects that change their appearance and shape over time, and can occlude each other over time. A statistical generative model is defined for generating such visual data where parameters such as appearance bit maps and noise, shape bit-maps and variability in shape, etc., are known. Further, when unknown, these parameters are estimated from visual data without prior pre-processing by using a maximization algorithm. By parameter estimation and inference in the model, visual data is segmented into components which facilitates sophisticated applications in video or image editing, such as, for example, object removal or insertion, tracking and visual surveillance, video browsing, photo organization, video compositing, etc.
摘要翻译：提供了简化的一般模型和相关联的估计算法用于对诸如视频序列的视觉数据进行建模。具体来说，视频序列中的图像或帧被表示为随时间改变其外观和形状的平坦移动对象的集合，并且可以随着时间而彼此闭塞。定义了统计生成模型，用于生成这样的视觉数据，其中诸如出现位图和噪声，形状位图和形状变异等参数是已知的。此外，当未知时，这些参数是通过使用最大化算法从视觉数据估计而没有预先预处理的。通过模型中的参数估计和推理，视觉数据被分割成有助于视频或图像编辑中的复杂应用的组件，例如对象去除或插入，跟踪和视觉监视，视频浏览，照片组织，视频合成，等等

64. 发明授权

US07734930B2 Click passwords 失效
标题翻译：点击密码
公开(公告)号：US07734930B2
公开(公告)日：2010-06-08
申请号：US11775159
申请日：2007-07-09
申请人： Darko Kirovski , Nebojsa Jojic , Paul Roberts
发明人： Darko Kirovski , Nebojsa Jojic , Paul Roberts
IPC分类号： H04L9/00
CPC分类号： G06F21/36
摘要： Methods, systems, devices and/or storage media for passwords. An exemplary method tiles an image, associates an index with each tile and optionally determines offsets for select tiles. Further, the tiling optionally relies on probability and/or entropy. An exemplary password system includes an image; a grid associated with the image, the grid composed of polygons; an index associated with each polygon; and an offset associated with each polygon wherein password identification relies on one or more indices and one or more offsets.
摘要翻译：用于密码的方法，系统，设备和/或存储介质。贴图图像的示例性方法，将索引与每个瓦片相关联，并且可选地确定选择瓦片的偏移量。此外，平铺可选地依赖于概率和/或熵。示例性密码系统包括图像; 与图像相关联的网格，网格由多边形组成; 与每个多边形相关联的索引; 以及与每个多边形相关联的偏移量，其中密码识别依赖于一个或多个索引和一个或多个偏移量。

65. 发明授权

US07689413B2 Speech detection and enhancement using audio/video fusion 有权
标题翻译：使用音频/视频融合的语音检测和增强
公开(公告)号：US07689413B2
公开(公告)日：2010-03-30
申请号：US11852961
申请日：2007-09-10
申请人： John R. Hershey , Trausti Thor Kristajanson , Hagai Attias , Nebojsa Jojic
发明人： John R. Hershey , Trausti Thor Kristajanson , Hagai Attias , Nebojsa Jojic
IPC分类号： G10L21/02 , G10L11/00 , G06K9/00
CPC分类号： G10L15/065 , G10L15/20 , G10L15/25 , G10L25/78
摘要： A system and method facilitating speech detection and/or enhancement utilizing audio/video fusion is provided. The present invention fuses audio and video in a probabilistic generative model that implements cross-model, self-supervised learning, enabling rapid adaptation to audio visual data. The system can learn to detect and enhance speech in noise given only a short (e.g., 30 second) sequence of audio-visual data. In addition, it automatically learns to track the lips as they move around in the video.
摘要翻译：提供了利用音频/视频融合的促进语音检测和/或增强的系统和方法。本发明将音频和视频融合在实现跨模型，自我监督学习的概率生成模型中，使得能够快速适应视听数据。该系统可以学习仅在短（例如，30秒）的视听数据序列中检测和增强噪声中的语音。此外，它会自动学习在视频中移动时跟踪嘴唇。

66. 发明授权

US07634405B2 Palette-based classifying and synthesizing of auditory information 有权
标题翻译：基于调色板的听觉信息分类与综合
公开(公告)号：US07634405B2
公开(公告)日：2009-12-15
申请号：US11041827
申请日：2005-01-24
申请人： Sumit Basu , Nebojsa Jojic , Ashish Kapoor
发明人： Sumit Basu , Nebojsa Jojic , Ashish Kapoor
IPC分类号： G10L15/06 , G10L15/00 , G10L17/00 , G10L13/00
CPC分类号： G10L25/48
摘要： The subject invention leverages spectral “palettes” or representations of an input sequence to provide recognition and/or synthesizing of a class of data. The class can include, but is not limited to, individual events, distributions of events, and/or environments relating to the input sequence. The representations are compressed versions of the data that utilize a substantially smaller amount of system resources to store and/or manipulate. Segments of the palettes are employed to facilitate in reconstruction of an event occurring in the input sequence. This provides an efficient means to recognize events, even when they occur in complex environments. The palettes themselves are constructed or “trained” utilizing any number of data compression techniques such as, for example, epitomes, vector quantization, and/or Huffman codes and the like.
摘要翻译：本发明利用光谱“调色板”或输入序列的表示来提供一类数据的识别和/或合成。该类可以包括但不限于单个事件，事件分布和/或与输入序列有关的环境。这些表示是利用相当少量的系统资源来存储和/或操纵的数据的压缩版本。调色板的片段被用于促进在输入序列中发生的事件的重构。这提供了一种识别事件的有效方法，即使它们发生在复杂环境中。使用任何数量的数据压缩技术（例如，缩略图，矢量量化和/或霍夫曼码等）构建或“训练”调色板本身。

67. 发明申请

US20090006038A1 SOURCE SEGMENTATION USING Q-CLUSTERING 有权
标题翻译：使用Q-CLUSTERING的资源分类
公开(公告)号：US20090006038A1
公开(公告)日：2009-01-01
申请号：US11769928
申请日：2007-06-28
申请人： Nebojsa Jojic , Manuel Jesus Reyes-Gomez
发明人： Nebojsa Jojic , Manuel Jesus Reyes-Gomez
IPC分类号： G06F15/00
CPC分类号： G10L15/04 , G06K9/6226 , G10L21/0272 , G10L25/78
摘要： A system and method that facilitates and effectuates accurate source segmentation of multi-dimensional signals in a computationally efficient manner. By employing Queyranne's algorithm along with a model for combining adjacent multidimensional elements of signal into locally consistent regions, significant improvement in time to identify an optimal segmentation can be achieved. Additional, by saving values computed when executing the algorithm and recalling the values when needed during subsequent iterations of the algorithm provides an additional in algorithm execution speed.
摘要翻译：一种以计算有效的方式促进并实现多维信号的准确源分割的系统和方法。通过采用Queyranne的算法以及将相邻的信号多维元素组合成本地一致区域的模型，可以实现显着改善时间以识别最佳分割。另外，通过保存在执行算法时计算出的值，并且在算法的后续迭代期间需要时调用值提供了额外的算法执行速度。

68. 发明申请

US20080059174A1 SPEECH DETECTION AND ENHANCEMENT USING AUDIO/VIDEO FUSION 有权
标题翻译：使用音频/视频融合的语音检测和增强
公开(公告)号：US20080059174A1
公开(公告)日：2008-03-06
申请号：US11852961
申请日：2007-09-10
申请人： John Hershey , Trausti Kristjansson , Hagai Attias , Nebojsa Jojic
发明人： John Hershey , Trausti Kristjansson , Hagai Attias , Nebojsa Jojic
IPC分类号： G10L15/00
CPC分类号： G10L15/065 , G10L15/20 , G10L15/25 , G10L25/78
摘要： A system and method facilitating speech detection and/or enhancement utilizing audio/video fusion is provided. The present invention fuses audio and video in a probabilistic generative model that implements cross-model, self-supervised learning, enabling rapid adaptation to audio visual data. The system can learn to detect and enhance speech in noise given only a short (e.g., 30 second) sequence of audio-visual data. In addition, it automatically learns to track the lips as they move around in the video.
摘要翻译：提供了利用音频/视频融合的促进语音检测和/或增强的系统和方法。本发明将音频和视频融合在实现跨模型，自我监督学习的概率生成模型中，使得能够快速适应视听数据。该系统可以学习仅在短（例如，30秒）的视听数据序列中检测和增强噪声中的语音。此外，它会自动学习在视频中移动时跟踪嘴唇。

69. 发明申请

US20070233392A1 Population sequencing 有权
标题翻译：人口测序
公开(公告)号：US20070233392A1
公开(公告)日：2007-10-04
申请号：US11394542
申请日：2006-03-31
申请人： Nebojsa Jojic , Delbert Dueck
发明人： Nebojsa Jojic , Delbert Dueck
IPC分类号： G06F19/00
CPC分类号： G06F19/24 , G06F19/22
摘要： A hierarchical statistical framework for separating mixed data is provided. The approach is a shift from chaining hard-decision modules to an integrated soft-decision approach. The framework facilitates separating, for instance, sequencing data obtained from a mixture of two or more different sequences. The sequencing data can be separated using machine learning techniques to determine the correspondence between the sequencing data and the two or more different sequences.
摘要翻译：提供了一种用于分离混合数据的分层统计框架。这种方法是从硬链决策模块转变为综合软判决方法。框架有利于分离，例如，从两个或更多个不同序列的混合物获得的序列数据。可以使用机器学习技术分离测序数据，以确定测序数据与两个或多个不同序列之间的对应关系。

70. 发明申请

US20070192037A1 MOLECULAR INTERACTION PREDICTORS 审中-公开
公开(公告)号：US20070192037A1
公开(公告)日：2007-08-16
申请号：US11538413
申请日：2006-10-03
申请人： Nebojsa Jojic , Manuel Jesus Reyes Gomez
发明人： Nebojsa Jojic , Manuel Jesus Reyes Gomez
IPC分类号： G06F19/00
CPC分类号： G16B40/00 , G16B15/00
摘要： Adaptive threading models for predicting an interaction between two or more molecules such as proteins are provided. The adaptive threading models have one or more learnable parameters that can be learned from all or some of the available data. The available data can include data relating to known interactions between the two or more molecules, the composition of the molecules and the geometry of the molecular complex.

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