会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Low-complexity inverse transform computation method
    • 低复杂度逆变换计算方法
    • US08745116B2
    • 2014-06-03
    • US13116459
    • 2011-05-26
    • Oscal Tzyh-Chiang ChenMeng-Lin Hsia
    • Oscal Tzyh-Chiang ChenMeng-Lin Hsia
    • G06F15/00
    • G06F17/147
    • A low-complexity inverse transform computation method, comprising following steps: firstly, analyzing an end-of-block (EOB) point in a matrix of a block; next, determining whether a bottom-left corner coefficient or a top-right coefficient before said EOB point is zero, and if it is zero, reducing further size of said matrix; then, determining an adequate operation mode to reduce computational complexity; and finally, realizing 2-D inverse transform through simplified 1-D inverse transforms. An inverse transform process of said method mentioned above is capable of lowering computation amount, reducing burden and computational complexity of a decompression system, and shortening effectively computation time of said 2-D inverse transform, such that it is applicable to inverse transforms of various video and still image codecs.
    • 一种低复杂度逆变换计算方法,包括以下步骤:首先,分析块的矩阵中的块结束点(EOB); 接下来,确定在所述EOB点之前的左下角系数或右上角系数是否为零,并且如果其为零,则减小所述矩阵的进一步的尺寸; 然后,确定足够的操作模式以降低计算复杂性; 最后通过简化的1-D逆变换实现二维逆变换。 上述方法的逆变换处理能够降低计算量,降低解压缩系统的负担和计算复杂度,并有效缩短所述2-D逆变换的计算时间,从而适用于各种视频的逆变换 和静态图像编解码器。
    • 4. 发明授权
    • General finite-field multiplier and method of the same
    • 一般有限域乘法器和方法相同
    • US06925479B2
    • 2005-08-02
    • US09843802
    • 2001-04-30
    • Oscal Tzyh-Chiang ChenYuh-Feng Hsu
    • Oscal Tzyh-Chiang ChenYuh-Feng Hsu
    • G06F7/72
    • G06F7/724
    • A general finite-field multiplier and the method of the same are disclosed for the operation of the finite-field multipliers of various specifications. In the multiplier, AND gates and XOR gates are used as primary components, and the inputs include two elements A and B to be multiplied and the coefficients of a variable polynomial p(x). This multiplier can be applied to the finite-field elements of different bit number. After all the coefficients of the A, B and p(x) are input, the values of a desired C can be obtained rapidly. Since the output values are parallel output, the application is very convenient. Furthermore, the multiplier can be used in the RS chip for different specifications.
    • 公开了用于各种规格的有限域乘法器的操作的通用有限域乘法器及其方法。 在乘法器中,AND门和XOR门用作主要组件,并且输入包括要乘以的两个​​元素A和B以及可变多项式p(x)的系数。 该乘法器可以应用于不同位数的有限域元素。 在输入所有A,B和P(x)的系数之后,可以快速获得期望的C值。 由于输出值为并行输出,因此应用非常方便。 此外,乘法器可用于RS芯片中的不同规格。
    • 5. 发明申请
    • METHOD OF RECOGNIZING GENDER OR AGE OF A SPEAKER ACCORDING TO SPEECH EMOTION OR AROUSAL
    • 识别性别或年龄的方法根据语音感觉或声音
    • US20130268273A1
    • 2013-10-10
    • US13560596
    • 2012-07-27
    • Oscal Tzyh-Chiang ChenPing-Tsung LuJia-You Ke
    • Oscal Tzyh-Chiang ChenPing-Tsung LuJia-You Ke
    • G10L17/00
    • G10L17/26G10L25/63
    • A method of recognizing gender or age of a speaker according to speech emotion or arousal includes the following steps of A) segmentalizing speech signals into a plurality of speech segments; B) fetching the first speech segment from the plural speech segments to further acquire at least one of emotional features or arousal degree in the speech segment; C) determining whether at least one of the emotional feature and the arousal degree conforms to some condition; if yes, proceed to the step D); if no, return to the step B) and then fetch the next speech segment; D) fetching the feature indicative of gender or age from the speech segment to further acquire at least one feature parameter; and E) recognizing the at least one feature parameter to further determine the gender or age of the speaker at the currently-processed speech segment.
    • 根据语音情绪或觉醒识别说话者的性别或年龄的方法包括以下步骤:A)将语音信号分段为多个语音段; B)从多个语音段获取第一语音段,以进一步获取语音段中的情绪特征或唤醒度中的至少一个; C)确定情绪特征和觉醒度中的至少一个是否符合某些条件; 如果是,则进行步骤D); 如果否,返回到步骤B)然后取下一个语音段; D)从语音段获取指示性别或年龄的特征以进一步获得至少一个特征参数; 以及E)识别所述至少一个特征参数以进一步确定所述当前处理的语音段中的说话者的性别或年龄。
    • 9. 发明授权
    • Method of recognizing gender or age of a speaker according to speech emotion or arousal
    • 根据言语情绪或觉醒来识别演讲者的性别或年龄的方法
    • US09123342B2
    • 2015-09-01
    • US13560596
    • 2012-07-27
    • Oscal Tzyh-Chiang ChenPing-Tsung LuJia-You Ke
    • Oscal Tzyh-Chiang ChenPing-Tsung LuJia-You Ke
    • G10L21/00G10L25/00G10L17/26G10L25/63
    • G10L17/26G10L25/63
    • A method of recognizing gender or age of a speaker according to speech emotion or arousal includes the following steps of A) segmentalizing speech signals into a plurality of speech segments; B) fetching the first speech segment from the plural speech segments to further acquire at least one of emotional features or arousal degree in the speech segment; C) determining whether at least one of the emotional feature and the arousal degree conforms to some condition; if yes, proceed to the step D); if no, return to the step B) and then fetch the next speech segment; D) fetching the feature indicative of gender or age from the speech segment to further acquire at least one feature parameter; and E) recognizing the at least one feature parameter to further determine the gender or age of the speaker at the currently-processed speech segment.
    • 根据语音情绪或觉醒识别说话者的性别或年龄的方法包括以下步骤:A)将语音信号分段为多个语音段; B)从多个语音段获取第一语音段,以进一步获取语音段中的情绪特征或唤醒度中的至少一个; C)确定情绪特征和觉醒度中的至少一个是否符合某些条件; 如果是,则进行步骤D); 如果否,返回到步骤B)然后取下一个语音段; D)从语音段获取指示性别或年龄的特征以进一步获得至少一个特征参数; 以及E)识别所述至少一个特征参数以进一步确定所述当前处理的语音段中的说话者的性别或年龄。
    • 10. 发明申请
    • PERSONALIZED RANKING METHOD OF VIDEO AND AUDIO DATA ON INTERNET
    • 互联网上视频和音频数据的个性化排名方法
    • US20130031107A1
    • 2013-01-31
    • US13435647
    • 2012-03-30
    • Jen-Yi PANOscal Tzyh-Chiang ChenWen-Nung Lie
    • Jen-Yi PANOscal Tzyh-Chiang ChenWen-Nung Lie
    • G06F17/30
    • G06F16/435
    • A personalized ranking method of audio and/or video data on Internet includes the steps of locating a plurality of audio and/or video data corresponding to at least one keyword; deciding a user index by the user or picking a history behavior index if the user does not decide the user index; capturing characteristics from the aforesaid downloaded audio and/or video data according to the user index or the history behavior; comparing the captured characteristics with a user profile or a history behavior for similarity to get a similarity score; ranking the audio and/or video data according to the corresponding similarity scores to get a ranking outcome of the audio and/or video data.
    • 互联网上的音频和/或视频数据的个性化排序方法包括:对应于至少一个关键字的多个音频和/或视频数据的定位步骤; 如果用户不决定用户索引,则由用户决定用户索引或挑选历史行为索引; 根据用户索引或历史行为从上述下载的音频和/或视频数据捕获特征; 将捕获的特征与用户简档或历史行为进行比较以获得相似性以获得相似性得分; 根据相应的相似度分数对音频和/或视频数据进行排序,以获得音频和/或视频数据的排名结果。