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    • 4. 发明申请
    • LED MODULE
    • LED模块
    • US20110210346A1
    • 2011-09-01
    • US13032755
    • 2011-02-23
    • CHEN-YU CHENYU-KANG LUYAN-YU WANG
    • CHEN-YU CHENYU-KANG LUYAN-YU WANG
    • H01L33/08
    • F21K9/90F21Y2105/10F21Y2115/10H01L24/97H01L33/486H01L33/62H01L2224/48091H01L2924/00012H01L2924/00014
    • An LED module includes at least two LED package units and at least one connecting unit. Each LED package unit includes at least one first engaging portion, at least one first conductive portion, and at least one LED chip connected electrically to the first engaging portion. The connecting unit includes at least two second engaging portions, and at least one second conductive portion having two opposite end sections extending respectively to the second engaging portions. When the second engaging portions of the connecting unit engaged with the first engaging portions of the LED package units, respectively, the end sections of the second conductive portion contact electrically and respectively the corresponding first conductive portions so as to connect electrically the LED chips of the LED package units.
    • LED模块包括至少两个LED封装单元和至少一个连接单元。 每个LED封装单元包括至少一个第一接合部分,至少一个第一导电部分和至少一个LED芯片,其电连接到第一接合部分。 连接单元包括至少两个第二接合部分和至少一个第二导电部分,其具有分别延伸到第二接合部分的两个相对的端部部分。 当连接单元的第二接合部分分别与LED封装单元的第一接合部分接合时,第二导电部分的端部分别接触相应的第一导电部分,以便电连接到第二导电部分的LED芯片 LED封装单元。
    • 6. 发明申请
    • Video summarization system and the method thereof
    • 视频摘要系统及其方法
    • US20070214418A1
    • 2007-09-13
    • US11486122
    • 2006-07-14
    • Jhing-Fa WangJia-Ching WangChen-Yu Chen
    • Jhing-Fa WangJia-Ching WangChen-Yu Chen
    • G06F3/00
    • G06F17/30796G06F17/30802G06F17/30843G06K9/00751Y10S345/951
    • 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.
    • 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。
    • 10. 发明授权
    • Video summarization system and the method thereof
    • 视频摘要系统及其方法
    • US07613365B2
    • 2009-11-03
    • US11486122
    • 2006-07-14
    • Jhing-Fa WangJia-Ching WangChen-Yu Chen
    • Jhing-Fa WangJia-Ching WangChen-Yu Chen
    • G06K9/54
    • G06F17/30796G06F17/30802G06F17/30843G06K9/00751Y10S345/951
    • 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.
    • 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。