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    • 1. 发明授权
    • Information processing apparatus, method, and program
    • 信息处理装置,方法和程序
    • US09129149B2
    • 2015-09-08
    • US13090083
    • 2011-04-19
    • Hirokazu KameyamaKouji Yamaguchi
    • Hirokazu KameyamaKouji Yamaguchi
    • G06K9/00
    • G06K9/00275
    • Disclosed is a method for accurately and efficiently detecting a modality of input data, including the steps of projecting the input data into a plurality of projection data using each of a plurality of transformation matrix groups U1·(Σ12U2T), generating a plurality of inverse projection data by performing inverse projection of the transformation matrix groups on the plurality of generated projection data, calculating a correlation between the input data and the generated inverse projection data with respect to each transformation matrix group U1·(Σ12U2T), and identifying a modality represented by a transformation matrix group having a highest calculated correlation as the modality of the input data.
    • 公开了一种准确有效地检测输入数据的方式的方法,包括以下步骤:使用多个变换矩阵组U1·(&Sgr; 12U2T)中的每一个将输入数据投影到多个投影数据中,生成多个 通过对多个生成的投影数据进行逆变换矩阵组的反投影,计算相对于每个变换矩阵组U1·(&Sgr; 12U2T)的输入数据和所生成的反投影数据之间的相关性,并且识别 由具有最高计算相关性的变换矩阵组表示的模态作为输入数据的模态。
    • 4. 发明授权
    • Method and device for video image processing, calculating the similarity between video frames, and acquiring a synthesized frame by synthesizing a plurality of contiguous sampled frames
    • 用于视频图像处理的方法和装置,计算视频帧之间的相似度,以及通过合成多个连续采样帧来获取合成帧
    • US08078010B2
    • 2011-12-13
    • US12754718
    • 2010-04-06
    • Hirokazu KameyamaWataru Ito
    • Hirokazu KameyamaWataru Ito
    • G06K9/32
    • G06T3/4053G06T7/32H04N5/145
    • To acquire a high-resolution frame from a plurality of frames sampled from a video image, it is necessary to obtain a high-resolution frame with reduced picture quality degradation regardless of motion of a subject included in the frame. Because of this, between a plurality of contiguous frames FrN and FrN+1, there is estimated a correspondent relationship. Based on the correspondent relationship, the frames FrN+1 and FrN are interposed to obtain first and second interpolated frames FrH1 and FrH2. Based on the correspondent relationship, the coordinates of the frame FrN+1 are transformed, and from a correlation value with the frame FrN, there is obtained a weighting coefficient α(x°, y°) that makes the weight of the first interpolated frame FrH1 greater as a correlation becomes greater. With the weighting coefficient, the first and second interpolated frames are weighted and added to acquire a synthesized frame FrG.
    • 为了从从视频图像采样的多个帧获取高分辨率帧,需要获得具有降低的图像质量劣化的高分辨率帧,而不管帧中包括的对象的运动如何。 因此,在多个相邻帧FrN和FrN + 1之间,估计出对应关系。 基于对应关系,插入帧FrN + 1和FrN以获得第一和第二内插帧FrH1和FrH2。 基于对应关系,对帧FrN + 1的坐标进行变换,并且从与帧FrN的相关值获得加权系数α(x°,y°),其使得第一内插帧的权重 相关性较高的FrH1变大。 利用加权系数,对第一和第二内插帧进行加权和相加以获得合成帧FrG。
    • 5. 发明申请
    • MATRIX GENERATION APPARATUS, METHOD, AND PROGRAM, AND INFORMATION PROCESSING APPARATUS
    • 矩阵生成装置,方法和程序以及信息处理装置
    • US20110249001A1
    • 2011-10-13
    • US13084592
    • 2011-04-12
    • Hirokazu KAMEYAMA
    • Hirokazu KAMEYAMA
    • G06T3/00G06F17/14
    • G06F17/16
    • When NN pairs of sample data are inputted, pre-processing and area division processing are performed by a pre-processing means and area division means respectively. Thereafter, when number of classes NP is inputted to projection matrix generation means based on the NN pairs of sample data, clustering in which NN pairs of sample data are classified into NP classes. Then, representative sample data representing each of classes (NP classes) are selected from NN pairs of sample data as the learning data. Then, based on the nature of Formula (2), calculation means generates an inverse first projection matrix (ML)−1 using a plurality of low resolution sample images (pre-transformation sample data) of a plurality of pairs of representative sample data and a second projection matrix MH using a plurality of high resolution sample images (post-transformation sample data). Thereafter, a transformation matrix {MH·(ML)1} is generated by transformation matrix generation means.
    • 当输入NN对的采样数据时,分别由预处理装置和区域划分装置执行预处理和区域划分处理。 此后,当根据样本数据的NN对将聚类次数NP输入到投影矩阵生成装置时,其中NN对样本数据被分类为NP类别。 然后,从NN对样本数据中选出表示各类(NP类)的代表性样本数据作为学习数据。 然后,基于公式(2)的性质,计算装置使用多对代表性样本数据的多个低分辨率采样图像(预变换采样数据)生成反向第一投影矩阵(ML)-1,以及 使用多个高分辨率采样图像(变换后采样数据)的第二投影矩阵MH。 此后,由变换矩阵生成单元生成变换矩阵{MH·(ML)1}。
    • 8. 发明申请
    • IMAGE PROCESSING SYSTEM
    • 图像处理系统
    • US20110019910A1
    • 2011-01-27
    • US12899373
    • 2010-10-06
    • Hirokazu KAMEYAMA
    • Hirokazu KAMEYAMA
    • G06K9/36G06K9/00
    • G06T5/50G06T2207/20021G06T2207/20221H04N19/124H04N19/136H04N19/17
    • An image processing system capable of reducing an operation time required to generate a high image quality image, includes an image obtaining section that obtains an input image having been captured; a characteristic region information obtaining section that obtains information indicating a characteristic region in the input image; a model storage section that stores a model representing an object by a character parameter; an image generating section that converts an image of an object included in the characteristic region in the input image into a high image quality image having an image quality higher than an image quality of the input image, by adapting the image of the object included in the characteristic region in the input image to the model; and an output section that outputs an image including the high image quality image and an image other than the characteristic region.
    • 一种能够减少生成高图像质量图像所需的操作时间的图像处理系统,包括获取已经被捕获的输入图像的图像获取部分; 特征区域信息获取部,其获取表示输入图像中的特征区域的信息; 模型存储部,其通过字符参数存储表示对象的模型; 图像生成部,其将包含在输入图像中的特征区域中的对象的图像转换为具有高于输入图像的图像质量的图像质量的高图像质量图像,通过使包含在所述输入图像中的对象的图像 输入图像中的特征区域到模型; 以及输出部,其输出包括高图像质量图像和除了特征区域之外的图像的图像。
    • 9. 发明申请
    • IMAGE PROCESSING SYSTEM, IMAGE PROCESSING METHOD, AND COMPUTER READABLE MEDIUM
    • 图像处理系统,图像处理方法和计算机可读介质
    • US20100265354A1
    • 2010-10-21
    • US12762616
    • 2010-04-19
    • Hirokazu KAMEYAMA
    • Hirokazu KAMEYAMA
    • H04N5/228
    • H04N19/33H04N19/17
    • Provided is an image processing apparatus including a parameter storage that stores, in association with a plurality of attributes, a plurality of image processing parameters for respectively rendering subject images of different attributes from each other, into high image quality; and an image generating section that generates a high quality image of a subject image included in an input image, using the plurality of image processing parameters stored in the parameter storage. The image generating section may select at least one image from high quality images of the subject image included in the input image using respectively different combinations of the plurality of image processing parameters, based on comparison with the input image, and generate the selected image as the high quality image.
    • 提供了一种图像处理装置,包括:参数存储器,其与多个属性相关联地存储用于将不同属性的对象图像彼此分别渲染的多个图像处理参数变为高图像质量; 以及图像生成部,其使用存储在参数存储部中的多个图像处理参数,生成包含在输入图像中的被摄体图像的高质量图像。 图像生成部可以基于与输入图像的比较,分别使用多个图像处理参数的不同组合,从包括在输入图像中的被摄体图像的高质量图像中选择至少一个图像,并且生成所选择的图像 高质量的图像。
    • 10. 发明授权
    • Method, system, and program for correcting the image quality of a moving image
    • 用于校正运动图像的图像质量的方法,系统和程序
    • US07680326B2
    • 2010-03-16
    • US11082783
    • 2005-03-18
    • Hirokazu Kameyama
    • Hirokazu Kameyama
    • G06K9/00G06K9/40
    • G06T5/50
    • An image processing system has a scale-down section for scaling down frames of a moving image to obtain thumbnail images, a temporary correction value calculation section for calculating a temporary correction value by employing a first feature quantity calculated from the thumbnail image by a feature quantity calculation section, and a temporary correction section for calculating a second feature quantity of a temporarily corrected thumbnail image obtained by correcting each thumbnail image with the temporary correction value. The image processing system further has a target feature quantity calculation section for calculating a target feature quantity of each frame so that the second feature quantities vary smoothly in a temporal direction, an object correction value calculation section for calculating an object correction value so that the first feature quantity becomes the target feature quantity, and a correction section for obtaining a corrected moving image by correcting each frame with the object correction value.
    • 图像处理系统具有用于缩小运动图像的帧以缩小图像的缩小部分;临时校正值计算部分,用于通过使用由缩略图图像计算的第一特征量乘以特征量来计算临时校正值 计算部分和临时校正部分,用于计算通过用临时校正值校正每个缩略图图像获得的临时校正的缩略图像的第二特征量。 图像处理系统还具有:目标特征量计算部,其计算各帧的目标特征量,使得第二特征量在时间方向上平滑变化;对象校正值计算部,其计算物体校正值,使得第一 特征量成为目标特征量,以及校正部,用于通过用对象校正值校正每个帧来获得校正的运动图像。