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71. 发明申请

US20070192036A1 MOLECULAR INTERACTION PREDICTORS 有权
标题翻译：分子相互作用预测器
公开(公告)号：US20070192036A1
公开(公告)日：2007-08-16
申请号：US11538405
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： G06F19/24 , G06F19/16
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.
摘要翻译：提供了用于预测两个或多个分子（例如蛋白质）之间的相互作用的自适应穿线模型。自适应线程模型具有一个或多个可学习的参数，可从全部或部分可用数据中学习。可用的数据可以包括与两个或更多个分子之间的已知相互作用，分子的组成和分子复合物的几何形状有关的数据。

72. 发明申请

US20070104383A1 STABILIZATION OF OBJECTS WITHIN A VIDEO SEQUENCE 有权
标题翻译：在视频序列中对象的稳定性
公开(公告)号：US20070104383A1
公开(公告)日：2007-05-10
申请号：US11534646
申请日：2006-09-23
申请人： Nebojsa Jojic , Brendan Frey
发明人： Nebojsa Jojic , Brendan Frey
IPC分类号： G06K9/40
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

73. 发明申请

US20060228002A1 Simultaneous optical flow estimation and image segmentation 有权
公开(公告)号：US20060228002A1
公开(公告)日：2006-10-12
申请号：US11193273
申请日：2005-07-30
申请人： Charles Zitnick , Sing Kang , Nebojsa Jojic
发明人： Charles Zitnick , Sing Kang , Nebojsa Jojic
IPC分类号： G06K9/00
CPC分类号： G06K9/34 , G06K9/38 , G06K9/4652 , G06K9/6219
摘要： A technique for estimating the optical flow between images of a scene and a segmentation of the images is presented. This involves first establishing an initial segmentation of the images and an initial optical flow estimate for each segment of each images and its neighboring image or images. A refined optical flow estimate is computed for each segment of each image from the initial segmentation of that image and the initial optical flow of the segments of that image. Next, the segmentation of each image is refined from the last-computed optical flow estimates for each segment of the image. This process can continue in an iterative manner by further refining the optical flow estimates for the images using their respective last-computed segmentation, followed by further refining the segmentation of each image using their respective last-computed optical flow estimates, until a prescribed number of iterations have been completed.

74. 发明申请

US20060167692A1 Palette-based classifying and synthesizing of auditory information 有权
公开(公告)号：US20060167692A1
公开(公告)日：2006-07-27
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： 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.

75. 发明申请

US20060117356A1 Interactive montages of sprites for indexing and summarizing video 有权
标题翻译：用于索引和总结视频的精灵互动蒙太奇
公开(公告)号：US20060117356A1
公开(公告)日：2006-06-01
申请号：US11004760
申请日：2004-12-01
申请人： Nebojsa Jojic , Chris Pal
发明人： Nebojsa Jojic , Chris Pal
IPC分类号： H04N7/173 , H04N7/16
CPC分类号： G06F17/30811 , G06F17/30843 , G06F17/30852 , G11B27/034 , G11B27/28 , G11B27/34 , H04N21/44008 , H04N21/44029 , H04N21/45452 , H04N21/8193 , H04N21/8549 , Y10S345/95
摘要： A “Video Browser” provides interactive browsing of unique events occurring within an overall video recording. In particular, the Video Browser processes the video to generate a set of video sprites representing unique events occurring within the overall period of the video. These unique events include, for example, motion events, security events, or other predefined event types, occurring within all or part of the total period covered by the video. Once the video has been processed to identify the sprites, the sprites are then arranged over a background image extracted from the video to create an interactive static video montage. The interactive video montage illustrates all events occurring within the video in a single static frame. User selection of sprites within the montage causes either playback of a portion of the video in which the selected sprites were identified, or concurrent playback of the selected sprites within a dynamic video montage.
摘要翻译： “视频浏览器”提供了在整个视频录制中发生的独特事件的交互式浏览。特别地，视频浏览器处理视频以生成表示在视频的整个周期内发生的唯一事件的一组视频精灵。这些独特的事件包括例如运动事件，安全事件或其他预定义的事件类型，发生在视频所涵盖的整个周期的全部或部分内。一旦视频被处理以识别精灵，则将精灵布置在从视频提取的背景图像上，以创建交互式静态视频蒙太奇。交互式视频蒙太奇在单个静态帧中说明视频内发生的所有事件。蒙太奇内的精灵的用户选择导致播放所选择的精灵被识别的视频的一部分，或动态视频蒙太奇中所选精灵的并发回放。

76. 发明申请

US20050047646A1 System and method for fast on-line learning of transformed hidden Markov models 有权
标题翻译：用于快速在线学习变换隐马尔科夫模型的系统和方法
公开(公告)号：US20050047646A1
公开(公告)日：2005-03-03
申请号：US10649382
申请日：2003-08-27
申请人： Nebojsa Jojic , Nemanja Petrovic
发明人： Nebojsa Jojic , Nemanja Petrovic
IPC分类号： G06K9/00 , G06K9/34 , G06K9/62 , G11B27/00 , G11B27/28
CPC分类号： G11B27/28 , G06K9/00711 , G06K9/6297
摘要： A fast variational on-line learning technique for training a transformed hidden Markov model. A simplified general model and an associated estimation algorithm is provided for modeling visual data such as a video sequence. Specifically, once the model has been initialized, an expectation-maximization (“EM”) algorithm is used to learn the one or more object class models, so that the video sequence has high marginal probability under the model. In the expectation step (the “E-Step”), the model parameters are assumed to be correct, and for an input image, probabilistic inference is used to fill in the values of the unobserved or hidden variables, e.g., the object class and appearance. In one embodiment of the invention, a Viterbi algorithm and a latent image is employed for this purpose. In the maximization step (the “M-Step”), the model parameters are adjusted using the values of the unobserved variables calculated in the previous E-step. Instead of using batch processing typically used in EM processing, the system and method according to the invention employs an on-line algorithm that passes through the data only once and which introduces new classes as the new data is observed is proposed. 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, and meta data creation.
摘要翻译：一种快速变化的在线学习技术，用于训练变换后的隐马尔可夫模型。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，一旦模型被初始化，使用期望最大化（“EM”）算法来学习一个或多个对象类模型，使得视频序列在该模型下具有高边际概率。在期望步骤（“E步骤”）中，假设模型参数是正确的，对于输入图像，使用概率推理来填充未观察或隐藏变量的值，例如对象类和出现。在本发明的一个实施例中，为此目的采用维特比算法和潜像。在最大化步骤（“M步骤”）中，使用在先前E步骤中计算的未观察到的变量的值来调整模型参数。代替使用通常在EM处理中使用的批量处理，根据本发明的系统和方法采用在线算法，其仅通过数据一次，并且在提出观察新数据时引入新类。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，和元数据创建。

77. 发明授权

US06674877B1 System and method for visually tracking occluded objects in real time 有权
标题翻译：用于实时视觉跟踪遮挡对象的系统和方法
公开(公告)号：US06674877B1
公开(公告)日：2004-01-06
申请号：US09496996
申请日：2000-02-03
申请人： Nebojsa Jojic , Matthew A. Turk
发明人： Nebojsa Jojic , Matthew A. Turk
IPC分类号： G06K900
CPC分类号： G06K9/00369 , G06K9/32 , G06T7/251 , G06T2207/10016 , G06T2207/30196
摘要： The present invention is embodied in a system and method for digitally tracking objects in real time. The present invention visually tracks three-dimensional (3-D) objects in dense disparity maps in real time. Tracking of the human body is achieved by digitally segmenting and modeling different body parts using statistical models defined by multiple size parameters, position and orientation. In addition, the present invention is embodied in a system and method for recognizing mutual occlusions of body parts and filling in data for the occluded parts while tracking a human body. The body parts are preferably tracked from frame to frame in image sequences as an articulated structure in which the body parts are connected at the joints instead of as individual objects moving and changing shape and orientation freely.
摘要翻译：本发明体现在实时数字跟踪对象的系统和方法中。本发明实时地视觉地跟踪密度差异图中的三维（3-D）物体。通过使用由多个尺寸参数，位置和方向定义的统计模型对不同身体部位进行数字分割和建模来实现人体的跟踪。此外，本发明体现在用于识别身体部位的相互遮挡并且在跟踪人体时填充闭塞部分的数据的系统和方法中。身体部分优选地以帧为单位的图像序列作为关节结构被跟踪，其中身体部分在关节处连接而不是作为单独的物体自由移动和改变形状和取向。

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