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公开(公告)号：US20100220924A1
公开(公告)日：2010-09-02
申请号：US12396380
申请日：2009-03-02
申请人： Gwo Giun Lee , Ming-Jiun Wang , Ling-Hsiu Huang
发明人： Gwo Giun Lee , Ming-Jiun Wang , Ling-Hsiu Huang
IPC分类号： G06K9/00
CPC分类号： G06K9/4652
摘要： A method and system of extracting a perceptual feature set for image/video segmentation are disclosed. An input image is converted to obtain a hue component and a saturation component, where the hue component is quantized into a number of quantum values. After weighting the quantized hue component with the saturation component, the weighted quantized hue component and the saturation component are subjected to a statistical operation in order to extract feature vectors. Accordingly, the method and system provide overall segmentation results that are very close to human interpretation.
摘要翻译： 公开了一种提取图像/视频分割的感知特征集的方法和系统。 输入图像被转换以获得色相分量和饱和分量，其中色调分量被量化为多个量子值。 在用饱和分量对量化的色调分量进行加权之后，对加权的量化色调分量和饱和分量进行统计运算，以便提取特征向量。 因此，该方法和系统提供了非常接近人类解释的整体分割结果。
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公开(公告)号：US08150150B2
公开(公告)日：2012-04-03
申请号：US12396380
申请日：2009-03-02
申请人： Gwo Giun Lee , Ming-Jiun Wang , Ling-Hsiu Huang
发明人： Gwo Giun Lee , Ming-Jiun Wang , Ling-Hsiu Huang
IPC分类号： G06K9/34
CPC分类号： G06K9/4652
摘要： A method and system of extracting a perceptual feature set for image/video segmentation are disclosed. An input image is converted to obtain a hue component and a saturation component, where the hue component is quantized into a number of quantum values. After weighting the quantized hue component with the saturation component, the weighted quantized hue component and the saturation component are subjected to a statistical operation in order to extract feature vectors. Accordingly, the method and system provide overall segmentation results that are very close to human interpretation.
摘要翻译： 公开了一种提取图像/视频分割的感知特征集的方法和系统。 输入图像被转换以获得色相分量和饱和分量，其中色调分量被量化为多个量子值。 在用饱和分量对量化的色调分量进行加权之后，对加权的量化色调分量和饱和分量进行统计运算，以便提取特征向量。 因此，该方法和系统提供了非常接近人类解释的整体分割结果。
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公开(公告)号：US20110265057A1
公开(公告)日：2011-10-27
申请号：US12764781
申请日：2010-04-21
申请人： Gwo-Giun Lee , Ming-Jiun Wang , He-Yuan Lin
发明人： Gwo-Giun Lee , Ming-Jiun Wang , He-Yuan Lin
IPC分类号： G06F9/44
CPC分类号： G06F8/10
摘要： A method of determining a design framework is implemented by an algorithm analyzer. The method includes configuring the algorithm analyzer to perform intrinsic complexity analysis of an algorithm for a predetermined application to obtain a set of parameters representing intrinsic characteristics of the algorithm. The method also includes configuring the algorithm analyzer to establish candidate design frameworks based on the parameters. Each candidate design framework includes a set of design constraints corresponding to the algorithm and which are used when designing a hardware and/or software configuration for implementing the predetermined application. The method also includes configuring the algorithm analyzer to analyze the suitability of the set of design constraints of each candidate design framework based on given specification restrictions of the predetermined application to determine which candidate design framework(s) is suited for the predetermined application.
摘要翻译： 确定设计框架的方法由算法分析器实现。 该方法包括配置算法分析器以执行用于预定应用的算法的固有复杂度分析，以获得表示算法的固有特性的一组参数。 该方法还包括配置算法分析器，根据参数建立候选设计框架。 每个候选设计框架包括与算法对应的一组设计约束，并且在设计用于实现预定应用的硬件和/或软件配置时使用。 该方法还包括配置算法分析器，以基于预定应用的给定规范限制来分析每个候选设计框架的设计约束集的适用性，以确定哪个候选设计框架适合于预定应用。
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公开(公告)号：US08621414B2
公开(公告)日：2013-12-31
申请号：US12764781
申请日：2010-04-21
申请人： Gwo-Giun Lee , Ming-Jiun Wang , He-Yuan Lin
发明人： Gwo-Giun Lee , Ming-Jiun Wang , He-Yuan Lin
IPC分类号： G06F17/50
CPC分类号： G06F8/10
摘要： A method of determining a design framework is implemented by an algorithm analyzer. The method includes configuring the algorithm analyzer to perform intrinsic complexity analysis of an algorithm for a predetermined application to obtain a set of parameters representing intrinsic characteristics of the algorithm. The method also includes configuring the algorithm analyzer to establish candidate design frameworks based on the parameters. Each candidate design framework includes a set of design constraints corresponding to the algorithm and which are used when designing a hardware and/or software configuration for implementing the predetermined application. The method also includes configuring the algorithm analyzer to analyze the suitability of the set of design constraints of each candidate design framework based on given specification restrictions of the predetermined application to determine which candidate design framework(s) is suited for the predetermined application.
摘要翻译： 确定设计框架的方法由算法分析器实现。 该方法包括配置算法分析器以执行用于预定应用的算法的固有复杂度分析，以获得表示算法的固有特性的一组参数。 该方法还包括配置算法分析器，根据参数建立候选设计框架。 每个候选设计框架包括与算法对应的一组设计约束，并且在设计用于实现预定应用的硬件和/或软件配置时使用。 该方法还包括配置算法分析器，以基于预定应用的给定规范限制来分析每个候选设计框架的设计约束集的适用性，以确定哪个候选设计框架适合于预定应用。
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公开(公告)号：US08391365B2
公开(公告)日：2013-03-05
申请号：US12408467
申请日：2009-03-20
申请人： Gwo-Giun Lee , He-Yuan Lin , Ming-Jiun Wang
发明人： Gwo-Giun Lee , He-Yuan Lin , Ming-Jiun Wang
IPC分类号： H04N11/04
CPC分类号： H04N19/533 , G06T7/238 , H04N19/61
摘要： A motion estimation method includes: (A) defining one pixel in a reference image as a center of search (CS) corresponding to a target pixel set in a current image; (B) determining a center error (CE) signal; (C) defining another pixel in the reference image as a target of search (TS) with reference to the CS, one candidate search vector available for selection from a vector set, and a step size; (D) determining a target error (TE) signal; (E) determining whether to update the CS and the CE signal; (F) if determined, updating the CS, the CE signal and the vector set; (G) repeating steps (C)˜(F) using a candidate search vector selected from the vector set and the same step size until there is no candidate search vector available for selection in the vector set; (H) repeating steps (C)˜(G) using a smaller step size until a predetermined value is reached; and (I) computing a motion vector based on the target pixel set and one pixel set that includes the CS.
摘要翻译： 运动估计方法包括：（A）将参考图像中的一个像素定义为与当前图像中设置的目标像素相对应的搜索中心（CS）; （B）确定中心误差（CE）信号; （C）参考CS，将参考图像中的另一像素定义为搜索目标（TS），可用于从矢量集合中选择的一个候选搜索向量和步长; （D）确定目标误差（TE）信号; （E）确定是否更新CS和CE信号; （F）如果确定，更新CS，CE信号和矢量集; （G）使用从向量集合选择的候选搜索向量和相同的步长重复步骤（C）〜（F），直到在矢量集中不存在可用于选择的候选搜索向量为止; （H）使用更小的步长重复步骤（C）〜（G），直到达到预定值; 和（I）基于目标像素集和包括CS的一个像素集计算运动矢量。
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公开(公告)号：US20100239017A1
公开(公告)日：2010-09-23
申请号：US12408467
申请日：2009-03-20
申请人： Gwo-Giun Lee , He-Yuan Lin , Ming-Jiun Wang
发明人： Gwo-Giun Lee , He-Yuan Lin , Ming-Jiun Wang
IPC分类号： H04N7/26
CPC分类号： H04N19/533 , G06T7/238 , H04N19/61
摘要： A motion estimation method includes: (A) defining one pixel in a reference image as a center of search (CS) corresponding to a target pixel set in a current image; (B) determining a center error (CE) signal; (C) defining another pixel in the reference image as a target of search (TS) with reference to the CS, one candidate search vector available for selection from a vector set, and a step size; (D) determining a target error (TE) signal; (E) determining whether to update the CS and the CE signal; (F) if determined, updating the CS, the CE signal and the vector set; (G) repeating steps (C)˜(F) using a candidate search vector selected from the vector set and the same step size until there is no candidate search vector available for selection in the vector set; (H) repeating steps (C)˜(G) using a smaller step size until a predetermined value is reached; and (I) computing a motion vector based on the target pixel set and one pixel set that includes the CS.
摘要翻译： 运动估计方法包括：（A）将参考图像中的一个像素定义为与当前图像中设置的目标像素相对应的搜索中心（CS）; （B）确定中心误差（CE）信号; （C）参考CS，将参考图像中的另一像素定义为搜索目标（TS），可用于从矢量集合中选择的一个候选搜索向量和步长; （D）确定目标误差（TE）信号; （E）确定是否更新CS和CE信号; （F）如果确定，更新CS，CE信号和矢量集; （G）使用从向量集合选择的候选搜索向量和相同的步长重复步骤（C）〜（F），直到在矢量集中不存在可用于选择的候选搜索向量为止; （H）使用更小的步长重复步骤（C）〜（G），直到达到预定值; 和（I）基于目标像素集和包括CS的一个像素集计算运动矢量。
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公开(公告)号：US08774503B2
公开(公告)日：2014-07-08
申请号：US13456291
申请日：2012-04-26
IPC分类号： G06K9/00
CPC分类号： G06T7/0071 , G06T7/579 , G06T2207/10016 , G06T2207/10024
摘要： A method for color feature extraction extracts a color feature vector representative of the color of each image pixel contained in an image signal. The method comprises: receiving the image signal; mapping the image signal to a color space model, where the color of each of the plural image pixels is represented by a first parameter, a second parameter, and a third parameter; obtaining an adjusted second parameter; clustering the plural image pixels into plural color regions or plural fuzzy regions of a color plane of the color space model; and designating the color feature vector to each of the plural image pixels based on the clustering result.
摘要翻译： 用于颜色特征提取的方法提取表示包含在图像信号中的每个图像像素的颜色的颜色特征向量。 该方法包括：接收图像信号; 将图像信号映射到颜色空间模型，其中多个图像像素中的每一个的颜色由第一参数，第二参数和第三参数表示; 获得调整后的第二参数; 将所述多个图像像素聚类成所述颜色空间模型的彩色平面的多个颜色区域或多个模糊区域; 以及基于所述聚类结果将所述颜色特征向量指定给所述多个图像像素中的每一个。
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公开(公告)号：US08761501B2
公开(公告)日：2014-06-24
申请号：US13456279
申请日：2012-04-26
IPC分类号： G06K9/00
CPC分类号： G06T7/0071 , G06T7/579 , G06T2207/10016 , G06T2207/10024
摘要： A method for 3D video content generation is disclosed, capable of transforming a 2D image into a 3D video through proper operation process. The method comprises the following steps of: (A) receiving a 2D image and generating a ROI distribution map from the 2D image; (B) executing a color feature capture process, for forming a plural of color feature regions; (C) executing an image segmentation process basing on the texture feature of the plural of color feature regions, for forming an image region distribution map; (D) executing a depth map generation process, for generating a depth map basing on the ROI distribution map and the image region distribution map; (E) executing a 3D image generation process, for forming the 3D image basing on the image region distribution map and the depth map; and (F) chaining a plurality of the 3D images to form the 3D video basing on a frame rate.
摘要翻译： 公开了一种用于3D视频内容生成的方法，能够通过适当的操作过程将2D图像转换为3D视频。 该方法包括以下步骤：（A）从2D图像接收2D图像并生成ROI分布图; （B）执行彩色特征捕获处理，用于形成多个颜色特征区域; （C）基于多个颜色特征区域的纹理特征执行图像分割处理，用于形成图像区域分布图; （D）执行深度图生成处理，用于基于所述ROI分布图和所述图像区域分布图生成深度图; （E）执行3D图像生成处理，用于基于图像区域分布图和深度图形成3D图像; 和（F）链接多个3D图像以基于帧速率形成3D视频。
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公开(公告)号：US20120301019A1
公开(公告)日：2012-11-29
申请号：US13456291
申请日：2012-04-26
IPC分类号： G06K9/34
CPC分类号： G06T7/0071 , G06T7/579 , G06T2207/10016 , G06T2207/10024
摘要： A method for color feature extraction extracts a color feature vector representative of the color of each image pixel contained in an image signal. The method comprises: receiving the image signal; mapping the image signal to a color space model, where the color of each of the plural image pixels is represented by a first parameter, a second parameter, and a third parameter; obtaining an adjusted second parameter; clustering the plural image pixels into plural color regions or plural fuzzy regions of a color plane of the color space model; and designating the color feature vector to each of the plural image pixels based on the clustering result.
摘要翻译： 用于颜色特征提取的方法提取表示包含在图像信号中的每个图像像素的颜色的颜色特征向量。 该方法包括：接收图像信号; 将图像信号映射到颜色空间模型，其中多个图像像素中的每一个的颜色由第一参数，第二参数和第三参数表示; 获得调整后的第二参数; 将所述多个图像像素聚类成所述颜色空间模型的彩色平面的多个颜色区域或多个模糊区域; 以及基于所述聚类结果将所述颜色特征向量指定给所述多个图像像素中的每一个。
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公开(公告)号：US09030468B2
公开(公告)日：2015-05-12
申请号：US13456280
申请日：2012-04-26
CPC分类号： G06T7/0071 , G06T7/579 , G06T2207/10016 , G06T2207/10024
摘要： A method for depth map generation is disclosed, capable of generating a depth map corresponding an image signal, for the application of a 2D to 3D image transformation system. In the depth map generated by the disclosed method, each of the plural image regions of the image signal is assigned with a depth value. Besides, by means of comparing the depth map with another depth map of the earlier time point, the disclosed method can generate a modulated depth map, for assigning a depth value to each of the plural image regions of the image signal more precisely. Thus, the transformation performance and efficiency of the 2D to 3D image transformation system are hereby improved.
摘要翻译： 公开了一种用于深度图生成的方法，能够生成对应于图像信号的深度图，以应用2D到3D图像变换系统。 在通过所公开的方法生成的深度图中，将图像信号的多个图像区域中的每一个分配给深度值。 此外，通过将深度图与较早时间点的另一深度图进行比较，所公开的方法可以生成调制深度图，用于更精确地向图像信号的多个图像区域中的每一个分配深度值。 因此，改善了2D到3D图像变换系统的变换性能和效率。
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