公开(公告)号：US20100026813A1

公开(公告)日：2010-02-04

申请号：US12221285

申请日：2008-07-31

申请人： Takahiro Hamada ,  Muhammad Farooq Sabir ,  Chung Chieh Kuo ,  Byung-Ho Cha

发明人： Takahiro Hamada ,  Muhammad Farooq Sabir ,  Chung Chieh Kuo ,  Byung-Ho Cha

IPC分类号： H04N17/00

CPC分类号： H04N17/004 ,  G06T1/0028 ,  G06T2201/0202 ,  H04H20/31 ,  H04H60/58 ,  H04H2201/50 ,  H04N7/04 ,  H04N7/08 ,  H04N21/4305

摘要： A first video characteristic value is determined from a video/audio signal. The first video characteristic value is embedded in an audio portion of the video/audio signal and the video/audio signal is transmitted from a transmission source to a transmission destination. At the destination, the first video characteristic value is recovered and the received video/audio signal is used to determine a second video characteristic value. The recovered first video characteristic value is used to verify or check the second video characteristic value. By comparing the first and second video characteristic values, a determination is made about degradation of the received video/audio signal. In one example, a determination is made as to whether a lip-sync error has likely occurred. In another example, the audio-transmitted first video characteristic is used for copyright protection purposes.

摘要翻译： 从视频/音频信号确定第一视频特征值。 第一视频特征值嵌入在视频/音频信号的音频部分中，​​并且视频/音频信号从发送源发送到发送目的地。 在目的地，恢复第一视频特征值，并且使用所接收的视频/音频信号来确定第二视频特征值。 恢复的第一视频特征值用于验证或检查第二视频特征值。 通过比较第一和第二视频特征值，确定接收到的视频/音频信号的劣化。 在一个示例中，确定是否可能发生唇同步误差。 在另一示例中，音频发送的第一视频特性用于版权保护目的。

公开(公告)号：US20100303150A1

公开(公告)日：2010-12-02

申请号：US12376965

申请日：2007-08-08

申请人： Ping-Kang Hsiung ,  Chung Chieh Kuo ,  Sheng Yang

发明人： Ping-Kang Hsiung ,  Chung Chieh Kuo ,  Sheng Yang

IPC分类号： H04N7/26

CPC分类号： H04N19/20 ,  H04N19/12 ,  H04N19/186

摘要： A system, specialized for encoding video of animated or cartoon content, encodes a video sequence. The system includes a background analyzer that removes moving objects from a series of video frames and generates a background definition for a static background used in a plurality of sequential video frames, a color clusterer that analyzes the colors contained in a video stream and creates a major color list of colors occurring in the video stream, an object identifier that identifies one or more objects that are constant within a series of video frames except for their position and rotational orientation within the series of video frames, and a hybrid encoder that encodes backgrounds and objects derived from a video sequence according to one of a plurality of encoding techniques depending on the compression achieved by each of the plurality of encoding techniques.

摘要翻译： 专门用于编码动画或漫画内容的视频的系统对视频序列进行编码。 该系统包括背景分析器，其从一系列视频帧中移除运动对象，并为多个顺序视频帧中使用的静态背景生成背景定义，颜色聚类器分析视频流中包含的颜色并创建主要 在视频流中发生的颜色的颜色列表，标识除了在一系列视频帧内的它们的位置和旋转定向之外的一系列视频帧内是恒定的一个或多个对象的对象标识符，以及编码背景和 根据多种编码技术中的每一种实现的压缩，根据多种编码技术之一从视频序列导出的对象。

公开(公告)号：US20120330495A1

公开(公告)日：2012-12-27

申请号：US13167519

申请日：2011-06-23

申请人： Andrew F. Geib ,  Chung Chieh Kuo ,  Martin Gawecki ,  EnShuo Tsau ,  Je Won Kang ,  Paul Raymond Scheid

发明人： Andrew F. Geib ,  Chung Chieh Kuo ,  Martin Gawecki ,  EnShuo Tsau ,  Je Won Kang ,  Paul Raymond Scheid

IPC分类号： G01M15/14

CPC分类号： F01D21/003 ,  F05D2260/80 ,  F05D2270/807 ,  F05D2270/81 ,  G05B23/0221 ,  G05B23/0229 ,  G05B2219/24042

摘要： A fault detection and diagnosis method for a gas turbine engines comprises collecting a sensor signal from an acoustic or vibrational sensor at the gas turbine engine, pre-processing the sensor signal to remove predictable background, and extracting a feature set from the sensor signal using Mel-Frequency Cepstral Coefficients (MFCC) algorithms and/or Code Excited Linear Prediction (CELP) algorithms. Fault and non-fault states are reported based on comparison between the feature set and a library of fault and non-fault feature profiles corresponding to fault and non-fault states of the gas turbine engine.

摘要翻译： 用于燃气涡轮发动机的故障检测和诊断方法包括从燃气涡轮发动机处的声学或振动传感器收集传感器信号，预处理传感器信号以消除可预测的背景，以及使用梅尔从传感器信号中提取特征集 - 频率倒谱系数（MFCC）算法和/或码激励线性预测（CELP）算法。 基于特征集与对应于燃气涡轮发动机的故障和非故障状态的故障和非故障特征曲线库的比较来报告故障和非故障状态。

公开(公告)号：US08655571B2

公开(公告)日：2014-02-18

申请号：US13167519

申请日：2011-06-23

申请人： Andrew F. Geib ,  Chung Chieh Kuo ,  Martin Gawecki ,  EnShuo Tsau ,  Je Won Kang ,  Paul Raymond Scheid

发明人： Andrew F. Geib ,  Chung Chieh Kuo ,  Martin Gawecki ,  EnShuo Tsau ,  Je Won Kang ,  Paul Raymond Scheid

IPC分类号： G01M15/00 ,  G06F19/00

CPC分类号： F01D21/003 ,  F05D2260/80 ,  F05D2270/807 ,  F05D2270/81 ,  G05B23/0221 ,  G05B23/0229 ,  G05B2219/24042

摘要： A fault detection and diagnosis method for a gas turbine engines comprises collecting a sensor signal from an acoustic or vibrational sensor at the gas turbine engine, pre-processing the sensor signal to remove predictable background, and extracting a feature set from the sensor signal using Mel-Frequency Cepstral Coefficients (MFCC) algorithms and/or Code Excited Linear Prediction (CELP) algorithms. Fault and non-fault states are reported based on comparison between the feature set and a library of fault and non-fault feature profiles corresponding to fault and non-fault states of the gas turbine engine.

摘要翻译： 用于燃气涡轮发动机的故障检测和诊断方法包括从燃气涡轮发动机处的声学或振动传感器收集传感器信号，预处理传感器信号以消除可预测的背景，以及使用梅尔从传感器信号中提取特征集 - 频率倒谱系数（MFCC）算法和/或码激励线性预测（CELP）算法。 基于特征集与对应于燃气涡轮发动机的故障和非故障状态的故障和非故障特征曲线库的比较来报告故障和非故障状态。