-
公开(公告)号：US07116716B2
公开(公告)日：2006-10-03
申请号：US10285933
申请日：2002-11-01
申请人： Yu-Fei Ma , Hong-Jiang Zhang
发明人： Yu-Fei Ma , Hong-Jiang Zhang
CPC分类号： G06K9/4671 , G06K9/00711 , G06T7/215
摘要： Systems and methods to generate a motion attention model of a video data sequence are described. In one aspect, a motion saliency map B is generated to precisely indicate motion attention areas for each frame in the video data sequence. The motion saliency maps are each based on intensity I, spatial coherence Cs, and temporal coherence Ct values. These values are extracted from each block or pixel in motion fields that are extracted from the video data sequence. Brightness values of detected motion attention areas in each frame are accumulated to generate, with respect to time, the motion attention model.
摘要翻译： 描述了生成视频数据序列的运动注意模型的系统和方法。 在一个方面，生成运动显着图B以精确地指示视频数据序列中的每个帧的运动注意区域。 运动显着图分别基于强度I，空间相干Cs和时间相干Ct值。 从从视频数据序列提取的运动场中的每个块或像素中提取这些值。 每个帧中检测到的运动关注区域的亮度值被累积，以相对于时间产生运动注意力模型。
-
42.发明授权Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR). 有权相关性最大化，迭代最小化，相关性反馈，基于内容的图像检索（CBIR）。公开(公告)号：US07113944B2
公开(公告)日：2006-09-26
申请号：US11042456
申请日：2005-01-25
申请人： Hong-Jiang Zhang , Zhong Su , Xingquan Zhu
发明人： Hong-Jiang Zhang , Zhong Su , Xingquan Zhu
IPC分类号： G06F17/30
CPC分类号： G06F17/30256 , G06K9/6215 , G06K9/6253 , G06K9/6263 , G06K9/6278 , Y10S707/99931 , Y10S707/99932 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99936 , Y10S707/99943 , Y10S707/99945 , Y10S707/99948
摘要： An implementation of a technology, described herein, for relevance-feedback, content-based facilitating accurate and efficient image retrieval minimizes the number of iterations for user feedback regarding the semantic relevance of exemplary images while maximizing the resulting relevance of each iteration. One technique for accomplishing this is to use a Bayesian classifier to treat positive and negative feedback examples with different strategies. In addition, query refinement techniques are applied to pinpoint the users' intended queries with respect to their feedbacks. These techniques further enhance the accuracy and usability of relevance feedback. This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.
摘要翻译： 这里描述的用于相关性反馈，基于内容的促进精确和有效的图像检索的技术的实现使得关于示例性图像的语义相关性的用户反馈的迭代次数最小化，同时最大化每次迭代的结果相关性。 实现这一点的一种技术是使用贝叶斯分类器来处理具有不同策略的正反馈示例。 另外，使用查询优化技术来针对用户对其反馈的预期查询进行定位。 这些技术进一步提高了相关性反馈的准确性和可用性。 本摘要本身并不旨在限制本专利的范围。 在所附权利要求中指出了本发明的范围。
-
公开(公告)号：US20060165178A1
公开(公告)日：2006-07-27
申请号：US11278487
申请日：2006-04-03
申请人： Yu-Fei Ma , Hong-Jiang Zhang
发明人： Yu-Fei Ma , Hong-Jiang Zhang
CPC分类号： G06K9/4671 , G06K9/00711 , G06T7/215
摘要： Systems and methods to generate a motion attention model of a video data sequence are described. In one aspect, a motion saliency map B is generated to precisely indicate motion attention areas for each frame in the video data sequence. The motion saliency maps are each based on intensity I, spatial coherence Cs, and temporal coherence Ct values. These values are extracted from each block or pixel in motion fields that are extracted from the video data sequence. Brightness values of detected motion attention areas in each frame are accumulated to generate, with respect to time, the motion attention model.
摘要翻译： 描述了生成视频数据序列的运动注意模型的系统和方法。 在一个方面，生成运动显着图B以精确地指示视频数据序列中的每个帧的运动注意区域。 运动显着图分别基于强度I，空间相干Cs和时间相干Ct值。 从从视频数据序列提取的运动场中的每个块或像素中提取这些值。 每个帧中检测到的运动关注区域的亮度值被累积，以相对于时间产生运动注意力模型。
-
公开(公告)号：US20060129671A1
公开(公告)日：2006-06-15
申请号：US11275676
申请日：2006-01-24
申请人： Yudong Yang , Hong-Jiang Zhang
发明人： Yudong Yang , Hong-Jiang Zhang
IPC分类号： G06F15/173
CPC分类号： H04L65/4084 , H04L29/06 , H04L29/06027 , H04L65/80 , H04L67/2823 , H04L67/2828 , H04L69/329
摘要： Methods and systems for generic adaptive multimedia content delivery are described. In one embodiment, a novel framework features an abstract content model and an abstract adaptive delivery decision engine. The abstract content model recognizes important aspects of contents while hiding their physical details from other parts of the framework. The decision engine then makes content adaptation plans based on the abstracted model of the contents and needs little knowledge of any physical details of the actual contents. Thus, under the same framework, adaptive delivery of generic contents is possible.
摘要翻译： 描述了通用自适应多媒体内容传送的方法和系统。 在一个实施例中，新颖的框架具有抽象内容模型和抽象自适应递送决策引擎。 抽象内容模型识别内容的重要方面，同时将其物理细节从框架的其他部分隐藏起来。 然后，决策引擎基于内容的抽象模型进行内容适配计划，并且对实际内容的任何物理细节的了解不大。 因此，在相同的框架下，通用内容的自适应传递是可能的。
-
公开(公告)号：US20060110057A1
公开(公告)日：2006-05-25
申请号：US10997071
申请日：2004-11-23
申请人： Tie-Yan Liu , Bo Feng , Hong-Jiang Zhang
发明人： Tie-Yan Liu , Bo Feng , Hong-Jiang Zhang
IPC分类号： G06K9/36
CPC分类号： H04N17/004
摘要： Methods and systems for identifying black frames within a sequence of frames are provided. In one embodiment, the detection system detects black frames within a sequence of frames by fully decoding base frames and then partially decoding non-black, non-base frames in a way that ensures the blackness of each frame can be determined. The detection system decodes base frames before decoding dependent frames, which is referred to as processing frames in reverse order of dependency since a frame is processed before the frames that depend on it are processed. In another embodiment, the detection system determines the blackness of frames within a sequence of frames by processing the frames in order of their dependency and following chains of block dependency to decode and determine the blackness of blocks.
摘要翻译： 提供了用于识别帧序列内的黑帧的方法和系统。 在一个实施例中，检测系统通过完全解码基本帧然后以确保每帧的黑度可以确定的方式部分地解码非黑色非基本帧来检测帧序列内的黑帧。 检测系统在解码相关帧之前对基本帧进行解码，其被称为处理帧，其依赖性相反，因为在处理依赖帧的帧被处理之前处理帧。 在另一个实施例中，检测系统通过按照它们的依赖性顺序处理帧并且跟随块依赖性链来解码和确定块的黑度来确定帧序列内的帧的黑度。
-
公开(公告)号：US20060026524A1
公开(公告)日：2006-02-02
申请号：US10910803
申请日：2004-08-02
申请人： Yu-Fei Ma , Bin Lin , Zhike Kong , Xinli Zou , Wei-Ying Ma , Hong-Jiang Zhang
发明人： Yu-Fei Ma , Bin Lin , Zhike Kong , Xinli Zou , Wei-Ying Ma , Hong-Jiang Zhang
CPC分类号： G11B27/28 , G06F17/30793 , G06F17/30802 , G06F17/30849 , G06K9/00711 , G11B27/10
摘要： Systems and methods for smart media content thumbnail extraction are described. In one aspect program metadata is generated from recorded video content. The program metadata includes one or more key-frames from one or more corresponding shots. An objectively representative key-frame is identified from among the key-frames as a function of shot duration and frequency of appearance of key-frame content across multiple shots. The objectively representative key-frame is an image frame representative of the recorded video content. A thumbnail is created from the objectively representative key-frame.
摘要翻译： 描述了用于智能媒体内容缩略图提取的系统和方法。 在一个方面，节目元数据是从记录的视频内容生成的。 程序元数据包括来自一个或多个相应镜头的一个或多个关键帧。 从关键帧中识别出客观上代表性的关键帧作为多个镜头中的关键帧内容的拍摄持续时间和出现频率的函数。 客观代表的关键帧是表示记录的视频内容的图像帧。 从客观代表的关键帧创建缩略图。
-
公开(公告)号：US06965645B2
公开(公告)日：2005-11-15
申请号：US09963164
申请日：2001-09-25
申请人： Hong-Jiang Zhang , Yufei Ma
发明人： Hong-Jiang Zhang , Yufei Ma
CPC分类号： G06K9/00711 , G06T7/215 , H04N5/144 , H04N5/145 , H04N19/503
摘要： A system and process for video characterization that facilitates video classification and retrieval, as well as motion detection, applications. This involves characterizing a video sequence with a gray scale image having pixel levels that reflect the intensity of motion associated with a corresponding region in the sequence of video frames. The intensity of motion is defined using any of three characterizing processes. Namely, a perceived motion energy spectrum (PMES) characterizing process that represents object-based motion intensity over the sequence of frames, a spatio-temporal entropy (STE) characterizing process that represents the intensity of motion based on color variation at each pixel location, a motion vector angle entropy (MVAE) characterizing process which represents the intensity of motion based on the variation of motion vector angles.
-
公开(公告)号：US20050211072A1
公开(公告)日：2005-09-29
申请号：US10811287
申请日：2004-03-25
申请人： Lie Lu , Hong-Jiang Zhang
发明人： Lie Lu , Hong-Jiang Zhang
CPC分类号： G10H1/40 , G10H2210/076 , G10H2210/391 , G10H2240/325 , G10H2250/135 , G10H2250/285
摘要： A system and methods analyze music to detect musical beats and to rectify beats that are out of sync with the actual beat phase of the music. The music analysis includes onset detection, tempo/meter estimation, and beat analysis, which includes the rectification of out-of-sync beats.
摘要翻译： 系统和方法分析音乐以检测音乐节奏并纠正与音乐的实际节奏不同步的节奏。 音乐分析包括开始检测，速度/仪表估计和拍频分析，其中包括纠错不同步拍摄。
-
公开(公告)号：US20050147292A1
公开(公告)日：2005-07-07
申请号：US10983194
申请日：2004-11-05
申请人： Fu Jie Huang , Hong-Jiang Zhang , Tsuhan Chen
发明人： Fu Jie Huang , Hong-Jiang Zhang , Tsuhan Chen
CPC分类号： G06K9/00228 , G06K9/00288 , G06K9/6292
摘要： A face recognition system and process for identifying a person depicted in an input image and their face pose. This system and process entails locating and extracting face regions belonging to known people from a set of model images, and determining the face pose for each of the face regions extracted. All the extracted face regions are preprocessed by normalizing, cropping, categorizing and finally abstracting them. More specifically, the images are normalized and cropped to show only a persons face, categorized according to the face pose of the depicted person's face by assigning them to one of a series of face pose ranges, and abstracted preferably via an eigenface approach. The preprocessed face images are preferably used to train a neural network ensemble having a first stage made up of a bank of face recognition neural networks each of which is dedicated to a particular pose range, and a second stage constituting a single fusing neural network that is used to combine the outputs from each of the first stage neural networks. Once trained, the input of a face region which has been extracted from an input image and preprocessed (i.e., normalized, cropped and abstracted) will cause just one of the output units of the fusing portion of the neural network ensemble to become active. The active output unit indicates either the identify of the person whose face was extracted from the input image and the associated face pose, or that the identity of the person is unknown to the system.
-
公开(公告)号：US20050147170A1
公开(公告)日：2005-07-07
申请号：US11056030
申请日：2005-02-11
申请人： Hong-Jiang Zhang , Yufei Ma
发明人： Hong-Jiang Zhang , Yufei Ma
CPC分类号： G06K9/00711 , G06T7/215 , H04N5/144 , H04N5/145 , H04N19/503
摘要： A system and process for video characterization that facilitates video classification and retrieval, as well as motion detection, applications. This involves characterizing a video sequence with a gray scale image having pixel levels that reflect the intensity of motion associated with a corresponding region in the sequence of video frames. The intensity of motion is defined using any of three characterizing processes. Namely, a perceived motion energy spectrum (PMES) characterizing process that represents object-based motion intensity over the sequence of frames, a spatio-temporal entropy (STE) characterizing process that represents the intensity of motion based on color variation at each pixel location, a motion vector angle entropy (MVAE) characterizing process which represents the intensity of motion based on the variation of motion vector angles.
摘要翻译： 用于视频表征的系统和过程，便于视频分类和检索，以及运动检测应用。 这涉及用具有反映与视频帧序列中的对应区域相关联的运动强度的像素级的灰度级图像表征视频序列。 使用三个特征过程中的任何一个定义运动的强度。 即，表示基于帧序列上的基于对象的运动强度的感知运动能谱（PMES）表征过程，基于每个像素位置处的颜色变化的表示运动强度的时空熵（STE）表征过程， 运动矢量角熵（MVAE）表征过程，其表示基于运动矢量角度的变化的运动强度。
-
-
-
-
-
-
-
-
-
搜索结果
161 条记录 (耗时 0.039 秒)
