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1. 发明授权

US06546135B1 Method for representing and comparing multimedia content 失效
标题翻译：用于表示和比较多媒体内容的方法
公开(公告)号：US06546135B1
公开(公告)日：2003-04-08
申请号：US09385169
申请日：1999-08-30
申请人： I-Jong Lin , Anthony Vetro , Ajay Divakaran , Sun-Yuan Kung
发明人： I-Jong Lin , Anthony Vetro , Ajay Divakaran , Sun-Yuan Kung
IPC分类号： G06K946
CPC分类号： G06F17/30858 , Y10S707/99945 , Y10S707/99948
摘要： A method for generating a representation of multimedia content by first segmenting the multimedia content spatially and temporally to extract objects. Feature extraction is applied to the objects to produce semantic and syntactic attributes, relations, and a containment set of content entities. The content entities are coded to produce directed acyclic graphs of the content entities, where each directed acyclic graph represents a particular interpretation of the multimedia content.
摘要翻译：一种用于通过首先在空间和时间上分割多媒体内容以提取对象来生成多媒体内容的表示的方法。特征提取被应用于对象以产生语义和句法属性，关系以及内容实体的包含集合。内容实体被编码以产生内容实体的有向非循环图，其中每个有向无环图表示多媒体内容的特定解释。

2. 发明授权

US06307964B1 Method for ordering image spaces to represent object shapes 失效
标题翻译：用于排序图像空间来表示对象形状的方法
公开(公告)号：US06307964B1
公开(公告)日：2001-10-23
申请号：US09326759
申请日：1999-06-04
申请人： I-Jong Lin , Anthony Vetro , Huifang Sun , Sun-Yuan Kung
发明人： I-Jong Lin , Anthony Vetro , Huifang Sun , Sun-Yuan Kung
IPC分类号： G06K900
CPC分类号： G06T9/001 , G06T9/20
摘要： A method represents a shape of an object in an image. Portions of the image interior to a boundary of the object are ordered. A medial axis for the ordered portions of the image is derived. The medial axis is segmented to produce an ordered tree. The ordered tree is transformed to a partial ordered tree to represent the shape of the object.
摘要翻译：方法表示图像中的对象的形状。将图像内部部分到对象的边界进行排序。导出图像的有序部分的中间轴。内侧轴被分割以产生有序树。有序树被转换为部分有序树以表示对象的形状。

3. 发明授权

US06266443B1 Object boundary detection using a constrained viterbi search 失效
标题翻译：使用约束维特比搜索的对象边界检测
公开(公告)号：US06266443B1
公开(公告)日：2001-07-24
申请号：US09219062
申请日：1998-12-22
申请人： Anthony Vetro , Huifang Sun , I-Jong Lin , Sun-Yuan Kung
发明人： Anthony Vetro , Huifang Sun , I-Jong Lin , Sun-Yuan Kung
IPC分类号： G06K948
CPC分类号： G06T7/143 , G06T7/12 , G06T2207/10016 , G06T2207/20081
摘要： A method detects a boundary in a sequence of two-dimensional images where each image has multiple intensity value points. Filtering and motion analysis is applied on each image to produce motion enhanced images. Initial search parameters are determined from a dynamic snake model applied to the motion enhanced images. Each motion enhanced image is searched for a potential boundary using the search parameters. The potential boundary is projected into the motion enhanced image of a previous, current, and next image, and the search parameters of the previous, current, and next images are updated. The searching, projecting, and updating repeat until a predetermined level of convergence is reached.
摘要翻译：一种方法检测二维图像序列中的边界，其中每个图像具有多个强度值点。对每个图像应用滤波和运动分析以产生运动增强图像。从应用于运动增强图像的动态蛇模型确定初始搜索参数。使用搜索参数搜索每个运动增强图像的潜在边界。潜在边界被投影到先前，当前和下一个图像的运动增强图像中，并且更新先前，当前和下一图像的搜索参数。搜索，投影和更新重复，直到达到预定的收敛水平。

4. 发明授权

US06400846B1 Method for ordering image spaces to search for object surfaces 失效
标题翻译：用于排序图像空间以搜索对象表面的方法
公开(公告)号：US06400846B1
公开(公告)日：2002-06-04
申请号：US09326750
申请日：1999-06-04
申请人： I-Jong Lin , Anthony Vetro , Huifang Sun , Sun-Yuan Kung
发明人： I-Jong Lin , Anthony Vetro , Huifang Sun , Sun-Yuan Kung
IPC分类号： G06K936
CPC分类号： G06T7/20 , G06T7/12 , G06T7/162 , G06T7/174 , G06T2207/10016
摘要： A method determines a surface of an object in a sequence of images. The method begins by estimating a boundary of the object in each image of the sequence using motion information of adjacent images of the sequence. Then, portions of each image of the sequence are ordered to produce an ordered sequence of images. The ordered portions are exterior to the estimated object boundary. Edges in each ordered image are filtered using the motion information, and each ordered image of the sequence is searched to locate the filtered edges to form a new boundary outside the estimated boundary. The filtering and searching are repeated, while projecting the new object boundaries over the sequence of images, until the new object boundaries converges to a surface of the object.
摘要翻译：方法确定图像序列中的对象的表面。该方法通过使用序列的相邻图像的运动信息来估计序列的每个图像中的对象的边界来开始。然后，序列的每个图像的部分被排序以产生有序的图像序列。有序部分在估计对象边界的外部。使用运动信息对每个有序图像中的边缘进行滤波，并且搜索序列的每个有序图像以定位经滤波的边缘以在估计边界外部形成新的边界。重复过滤和搜索，同时在图像序列上投影新对象边界，直到新对象边界收敛到对象的表面。

5. 发明授权

US06947378B2 Dynamic network resource allocation using multimedia content features and traffic features 失效
标题翻译：使用多媒体内容特征和流量特征的动态网络资源分配
公开(公告)号：US06947378B2
公开(公告)日：2005-09-20
申请号：US09795952
申请日：2001-02-28
申请人： Min Wu , Robert A. Joyce , Anthony Vetro , Hau-San Wong , Ling Guan , Sun-Yuan Kung
发明人： Min Wu , Robert A. Joyce , Anthony Vetro , Hau-San Wong , Ling Guan , Sun-Yuan Kung
IPC分类号： H04N7/26 , H04L12/56 , G01R31/08 , G06F11/00 , G08C15/00 , H04L1/00 , H04L12/26
CPC分类号： H04L47/801 , H04L47/15 , H04L47/70 , H04L47/762 , H04L47/823 , H04L47/826
摘要： A method for dynamically allocating network resources while transferring multimedia at variable bit-rates in a network extracts first content features from the multimedia to determine renegotiation points and observation periods. Second content features and traffic features are extracted from the multimedia bit stream during the observation periods. The second content features and the traffic features are combined in a neural network to predict the network resources to be allocated at the renegotiation points.
摘要翻译：在网络中以可变比特率传输多媒体时动态分配网络资源的方法从多媒体提取第一内容特征以确定重新协商点和观察周期。在观察期间，从多媒体比特流中提取第二内容特征和流量特征。将第二内容特征和流量特征组合在神经网络中，以预测在重新协商点分配的网络资源。

6. 发明授权

US06192080B1 Motion compensated digital video signal processing 失效
标题翻译：运动补偿数字视频信号处理
公开(公告)号：US06192080B1
公开(公告)日：2001-02-20
申请号：US09206032
申请日：1998-12-04
申请人： Huifang Sun , Anthony Vetro , Yen-Kuang Chen , Sun-Yuan Kung
发明人： Huifang Sun , Anthony Vetro , Yen-Kuang Chen , Sun-Yuan Kung
IPC分类号： H04N712
CPC分类号： H04N19/577
摘要： A method determines true motion vectors associated with a sequence of images. The images include fields made up of blocks of pixels. The method selects candidate feature blocks from the blocks of pixels. The candidate feature blocks have intensity variances above a threshold indicative of texture features. Candidate feature blocks in similarly numbered adjacent field intervals are compared to determine sets of displaced frame differences parameters for each candidate feature block. The true motion vectors for each candidate feature block are determined from a minimum weighted score derived from the difference parameters.
摘要翻译：一种方法确定与图像序列相关联的真实运动矢量。图像包括由像素块组成的场。该方法从像素块中选择候选特征块。候选特征块具有高于指示纹理特征的阈值的强度方差。将相似编号的相邻场间隔中的候选特征块进行比较，以确定每个候选特征块的位移帧差参数的集合。每个候选特征块的真实运动矢量是从差分参数导出的最小加权得分确定的。

7. 发明授权

US06340991B1 Frame synchronization in a multi-camera system 有权
标题翻译：多摄像机系统中的帧同步
公开(公告)号：US06340991B1
公开(公告)日：2002-01-22
申请号：US09223772
申请日：1998-12-31
申请人： Tsuhan Chen , Sun-Yuan Kung , Yun-Ting Lin
发明人： Tsuhan Chen , Sun-Yuan Kung , Yun-Ting Lin
IPC分类号： H04N9475
CPC分类号： G06T7/20 , G06T7/97 , H04N5/073 , H04N13/239 , H04N13/296
摘要： A technique is provided for calculating the time offsets between different video cameras and re-synchronizing the captured frames in a post-processing manner, thus eliminating the necessity of an explicit common clock for synchronization. This approach allows effective synchronization of frames from different cameras so that a multi-camera system can be used to more accurately analyze a subject under observation.
摘要翻译：提供了一种用于计算不同摄像机之间的时间偏移并且以后处理方式重新同步捕获的帧的技术，从而消除了用于同步的显式公共时钟的必要性。这种方法允许来自不同相机的帧的有效同步，使得可以使用多摄像机系统来更精确地分析观察对象。

8. 发明授权

US5850470A Neural network for locating and recognizing a deformable object 失效
标题翻译：用于定位和识别可变形物体的神经网络
公开(公告)号：US5850470A
公开(公告)日：1998-12-15
申请号：US521176
申请日：1995-08-30
申请人： Sun-Yuan Kung , Shang-Hung Lin , Long-Ji Lin , Ming Fang
发明人： Sun-Yuan Kung , Shang-Hung Lin , Long-Ji Lin , Ming Fang
IPC分类号： G06K9/00 , G07C9/00 , G06E1/00 , G06E3/00 , G06K9/62
CPC分类号： G06K9/6281 , G06K9/00241 , G06K9/32 , G06K9/6273 , G06K9/6278 , G07C9/00158
摘要： A system for automatically detecting and recognizing the identity of a deformable object such as a human face, within an arbitrary image scene. The system comprises an object detector implemented as a probabilistic DBNN, for determining whether the object is within the arbitrary image scene and a feature localizer also implemented as a probabilistic DBNN, for determining the position of an identifying feature on the object such as the eyes. A feature extractor is coupled to the feature localizer and receives coordinates sent from the feature localizer which are indicative of the position of the identifying feature and also extracts from the coordinates information relating to other features of the object such as the eyebrows and nose, which are used to create a low resolution image of the object. A probabilistic DBNN based object recognizer for determining the identity of the object receives the low resolution image of the object inputted from the feature extractor to identify the object.
摘要翻译：一种用于在任意图像场景内自动检测和识别诸如人脸之类的可变形对象的身份的系统。该系统包括实现为概率DBNN的对象检测器，用于确定对象是否在任意图像场景内，并且特征定位器也被实现为概率DBNN，用于确定诸如眼睛的对象上的识别特征的位置。特征提取器耦合到特征定位器并且接收从特征定位器发送的坐标，其指示识别特征的位置，并且还从坐标中提取关于诸如眉毛和鼻子的对象的其他特征的信息，这些信息是用于创建对象的低分辨率图像。用于确定对象的身份的基于概率DBNN的对象识别器接收从特征提取器输入的对象的低分辨率图像以识别对象。

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