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1. 发明申请

US20110122137A1 VIDEO SUMMARIZATION METHOD BASED ON MINING STORY STRUCTURE AND SEMANTIC RELATIONS AMONG CONCEPT ENTITIES THEREOF 有权
标题翻译：基于其概念实体的采矿故事结构和语义关系的视频总体方法
公开(公告)号：US20110122137A1
公开(公告)日：2011-05-26
申请号：US12623466
申请日：2009-11-23
申请人： Jhing-Fa WANG , Bo-Wei CHEN , Jia-Ching WANG , Chia-Hung CHANG
发明人： Jhing-Fa WANG , Bo-Wei CHEN , Jia-Ching WANG , Chia-Hung CHANG
IPC分类号： G06T11/20 , G06F17/21
CPC分类号： G06T11/206 , G06F17/30843 , G11B27/034 , G11B27/28 , G11B27/322
摘要： A video summarized method based on mining the story structure and semantic relations among concept entities has steps of processing a video to generate multiple important shots that are annotated with respective keywords: Performing a concept expansion process by using the keywords to create expansion trees for the annotated shots; rearranging the keywords of the expansion trees and classifying to calculate relations thereof; applying a graph entropy algorithm to determine significant shots and edges interconnected with the shots. Based on the determined result of the graph entropy algorithm, a structured relational graph is built to display the significant shots and edges thereof. Consequently, users can more rapidly browse the content of a video and comprehend if different shots are related.
摘要翻译：基于挖掘概念实体之间的故事结构和语义关系的视频汇总方法具有处理视频以生成多个重要照片的步骤，这些重要照片用相应的关键字注释：通过使用关键字创建扩展树来创建注释的概念扩展过程射击重新布置扩展树的关键字并进行分类以计算其关系; 应用图熵算法来确定与镜头相互连接的重要镜头和边缘。基于图熵算法的确定结果，建立了结构化关系图，以显示其重要的镜头和边缘。因此，用户可以更快速地浏览视频的内容，并理解如果不同的镜头相关。

2. 发明授权

US07613365B2 Video summarization system and the method thereof 有权
标题翻译：视频摘要系统及其方法
公开(公告)号：US07613365B2
公开(公告)日：2009-11-03
申请号：US11486122
申请日：2006-07-14
申请人： Jhing-Fa Wang , Jia-Ching Wang , Chen-Yu Chen
发明人： Jhing-Fa Wang , Jia-Ching Wang , Chen-Yu Chen
IPC分类号： G06K9/54
CPC分类号： G06F17/30796 , G06F17/30802 , G06F17/30843 , G06K9/00751 , Y10S345/951
摘要： The present invention discloses a video summarization system and the method thereof. A similarity computing apparatus computes the similarity between each frame to obtain multiple similarity values. A key frame extracting apparatus chooses the key frames from the frames wherein the sum of the similarity values between the key frames is a minimum. A feature space mapping apparatus converts the sentences into multiple corresponding sentence vectors and computes the distance between each sentence vector to obtain multiple distance values. A clustering apparatus divides the sentences into multiple clusters according to the distance values and the importance of the sentences, and also applies a splitting step to split the cluster with the highest importance into multiple new clusters. A key sentence extracting apparatus chooses multiple key sentence from the clusters, wherein the sum of the importance of the key sentences is the maximum.
摘要翻译：本发明公开了一种视频摘要系统及其方法。相似度计算装置计算每个帧之间的相似度以获得多个相似度值。关键帧提取装置从帧中选择关键帧，其中关键帧之间的相似度之和为最小。特征空间映射设备将句子转换为多个对应的句子向量，并计算每个句子向量之间的距离以获得多个距离值。聚类设备根据距离值和句子的重要性将句子分成多个簇，并且还应用分割步骤将具有最高重要性的群集分割成多个新群集。关键句提取装置从群集中选择多个关键句，其中关键句子的重要性之和为最大。

3. 发明授权

US07305337B2 Method and apparatus for speech coding and decoding 有权
标题翻译：用于语音编码和解码的方法和装置
公开(公告)号：US07305337B2
公开(公告)日：2007-12-04
申请号：US10328486
申请日：2002-12-24
申请人： Jhing-Fa Wang , Jia-Ching Wang , Yun-Fei Chao , Han-Chiang Chen , Ming-Chi Shih
发明人： Jhing-Fa Wang , Jia-Ching Wang , Yun-Fei Chao , Han-Chiang Chen , Ming-Chi Shih
IPC分类号： G10L11/04
CPC分类号： G10L19/012 , G10L19/08 , G10L19/18
摘要： The present invention includes a method for speech encoding and decoding and a design of speech coder and decoder. The characteristic of speech encoding method relies on the type of data with high compression rate after the whole speech data is compressed. The present invention is able to lower the bit rate of the original speech from 64 Kbps to 1.6 Kbps and provide a bit rate lower than the traditional compression method. It can provide good speech quality, and attain the function of storing the maximum speech data with minimum memory. As to the speech decoding method, some random noises are appropriated added into the exciting source, so that more speech characteristics can be simulated to produce various speech sounds. In addition, the present invention also discloses a coder and a decoder designed by application specific integrated circuit, and the structural design is optimized according to the software. Its operating speed is much faster than the digital signal processor, and suits the system requiring fast computation speed such as multiple line encoding; its cost is also lower than the digital signal processor.
摘要翻译：本发明包括语音编码和解码的方法以及语音编码器和解码器的设计。语音编码方法的特点是在整个语音数据压缩之后依赖于具有高压缩率的数据类型。本发明能够将原始语音的比特率从64Kbps降低到1.6Kbps，并提供比传统压缩方法低的比特率。它可以提供良好的语音质量，并且具有以最小记忆存储最大语音数据的功能。对于语音解码方法，将一些随机噪声加入到激励源中，从而可以模拟更多的语音特征以产生各种语音。此外，本发明还公开了一种由专用集成电路设计的编码器和解码器，并且根据该软件优化结构设计。其运行速度比数字信号处理器快得多，适合需要快速计算速度的系统，如多行编码; 其成本也低于数字信号处理器。

4. 发明申请

US20070214418A1 Video summarization system and the method thereof 有权
标题翻译：视频摘要系统及其方法
公开(公告)号：US20070214418A1
公开(公告)日：2007-09-13
申请号：US11486122
申请日：2006-07-14
申请人： Jhing-Fa Wang , Jia-Ching Wang , Chen-Yu Chen
发明人： Jhing-Fa Wang , Jia-Ching Wang , Chen-Yu Chen
IPC分类号： G06F3/00
CPC分类号： G06F17/30796 , G06F17/30802 , G06F17/30843 , G06K9/00751 , Y10S345/951
摘要： The present invention discloses a video summarization system and the method thereof. A similarity computing apparatus computes the similarity between each frame to obtain multiple similarity values. A key frame extracting apparatus chooses the key frames from the frames wherein the sum of the similarity values between the key frames is a minimum. A feature space mapping apparatus converts the sentences into multiple corresponding sentence vectors and computes the distance between each sentence vector to obtain multiple distance values. A clustering apparatus divides the sentences into multiple clusters according to the distance values and the importance of the sentences, and also applies a splitting step to split the cluster with the highest importance into multiple new clusters. A key sentence extracting apparatus chooses multiple key sentence from the clusters, wherein the sum of the importance of the key sentences is the maximum.
摘要翻译：本发明公开了一种视频摘要系统及其方法。相似度计算装置计算每个帧之间的相似度以获得多个相似度值。关键帧提取装置从帧中选择关键帧，其中关键帧之间的相似度之和为最小。特征空间映射设备将句子转换为多个对应的句子向量，并计算每个句子向量之间的距离以获得多个距离值。聚类设备根据距离值和句子的重要性将句子分成多个簇，并且还应用分割步骤将具有最高重要性的群集分割成多个新群集。关键句提取装置从群集中选择多个关键句，其中关键句子的重要性之和为最大。

5. 发明授权

US07266496B2 Speech recognition system 有权
标题翻译：语音识别系统
公开(公告)号：US07266496B2
公开(公告)日：2007-09-04
申请号：US10328482
申请日：2002-12-24
申请人： Jhing-Fa Wang , Jia-Ching Wang , Tai-Lung Chen , Chin-Chan Chang
发明人： Jhing-Fa Wang , Jia-Ching Wang , Tai-Lung Chen , Chin-Chan Chang
IPC分类号： G10L15/08
CPC分类号： G10L15/28
摘要： The present invention discloses a complete speech recognition system having a training button and a recognition button, and the whole system uses the application specific integrated circuit (ASIC) architecture for the design, and also uses the modular design to divide the speech processing into 4 modules: system control module, autocorrelation and linear predictive coefficient module, cepstrum module, and DTW recognition module. Each module forms an intellectual product (IP) component by itself. Each IP component can work with various products and application requirements for the design reuse to greatly shorten the time to market.
摘要翻译：本发明公开了一种具有训练按钮和识别按钮的完整语音识别系统，整个系统采用专用集成电路（ASIC）架构进行设计，并采用模块化设计将语音处理分为4个模块：系统控制模块，自相关和线性预测系数模块，倒谱模块和DTW识别模块。每个模块本身就构成一个智能产品（IP）组件。每个IP组件可以处理各种产品和设计重用的应用程序要求，大大缩短上市时间。

6. 发明授权

US08451292B2 Video summarization method based on mining story structure and semantic relations among concept entities thereof 有权
标题翻译：基于概念实体之间的挖掘故事结构和语义关系的视频摘要方法
公开(公告)号：US08451292B2
公开(公告)日：2013-05-28
申请号：US12623466
申请日：2009-11-23
申请人： Jhing-Fa Wang , Bo-Wei Chen , Jia-Ching Wang , Chia-Hung Chang
发明人： Jhing-Fa Wang , Bo-Wei Chen , Jia-Ching Wang , Chia-Hung Chang
IPC分类号： G09G5/00 , G06T11/20
CPC分类号： G06T11/206 , G06F17/30843 , G11B27/034 , G11B27/28 , G11B27/322
摘要： A video summarized method based on mining the story structure and semantic relations among concept entities has steps of processing a video to generate multiple important shots that are annotated with respective keywords: Performing a concept expansion process by using the keywords to create expansion trees for the annotated shots; rearranging the keywords of the expansion trees and classifying to calculate relations thereof; applying a graph entropy algorithm to determine significant shots and edges interconnected with the shots. Based on the determined result of the graph entropy algorithm, a structured relational graph is built to display the significant shots and edges thereof. Consequently, users can more rapidly browse the content of a video and comprehend if different shots are related.
摘要翻译：基于挖掘概念实体之间的故事结构和语义关系的视频汇总方法具有处理视频以生成多个重要照片的步骤，这些重要照片用相应的关键字注释：通过使用关键字创建扩展树来创建注释的概念扩展过程射击重新布置扩展树的关键字并进行分类以计算其关系; 应用图熵算法来确定与镜头相互连接的重要镜头和边缘。基于图熵算法的确定结果，建立了结构化关系图，以显示其重要的镜头和边缘。因此，用户可以更快速地浏览视频的内容，并理解如果不同的镜头相关。

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