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    • 1. 发明授权
    • Generating a highly condensed visual summary
    • 生成高度浓缩的视觉总结
    • US07697785B2
    • 2010-04-13
    • US10815354
    • 2004-03-31
    • Patrick ChiuAndreas GirgensohnQiong Liu
    • Patrick ChiuAndreas GirgensohnQiong Liu
    • G06K9/36
    • G06T11/60G06F17/30793G06F17/30802G06F17/30811G06F17/30843G11B27/031G11B27/28
    • In one embodiment, the present invention extracts video regions of interest from one or more videos and generates a highly condensed visual summary of the videos. The video regions of interest are extracted based on to energy, movement, face or other object detection methods, associated data or external input, or some other feature of the video. In another embodiment, the present invention extracts regions of interest from images and generates highly condensed visual summaries of the images. The highly condensed visual summary is generated by laying out germs on a canvas and then filling the spaces between the germs. The result is a visual summary that resembles a stained glass window having cells of varying shape. The germs may be laid out by temporal order, color histogram, similarity, according to a desired pattern, size, or some other manner. The people, objects and other visual content in the germs appear larger and become easier to see. The visual summary of the present invention utilizes important regions within the key frames, leading to more condensed summaries that are well suitable for small screens.
    • 在一个实施例中,本发明从一个或多个视频中提取感兴趣的视频区域,并且生成高分辨率的视频概要。 基于能量,移动,面部或其他物体检测方法,相关联的数据或外部输入或视频的某些其他特征来提取感兴趣的视频区域。 在另一个实施例中,本发明从图像中提取感兴趣的区域并且产生图像的高度浓缩的视觉摘要。 高度浓缩的视觉总结是通过在画布上布置细菌,然后填充细菌之间的空间来产生的。 结果是类似于具有不同形状的细胞的彩色玻璃窗的视觉总结。 根据期望的图案,大小或某种其他方式,细菌可以通过时间顺序,颜色直方图,相似性布置。 细菌中的人,物和其他视觉内容看起来更大,变得更容易看到。 本发明的视觉总结利用关键帧内的重要区域,导致更加精简的摘要,其非常适合于小屏幕。
    • 2. 发明申请
    • Determining regions of interest in synthetic images
    • 确定合成图像中的感兴趣区域
    • US20060062456A1
    • 2006-03-23
    • US10948823
    • 2004-09-23
    • Patrick ChiuQiong LiuAndreas Girgensohn
    • Patrick ChiuQiong LiuAndreas Girgensohn
    • G06K9/34G06K9/46
    • G06K9/3233
    • An algorithm for finding regions of interest (ROI) in synthetic images based on an information driven approach in which sub-blocks of a set of synthetic image are analyzed for information content or compressibility based on textural and color features. A DCT may be used to analyze the textural features of a set of images and a color histogram may be used to analyze the color features of the set of images. Sub-blocks of low compressibility are grouped into ROIs using a type of morphological technique. Unlike other algorithms that are geared for highly specific types of ROI (e.g. OCR text detection), the method of the present invention is generally applicable to arbitrary synthetic images. The present invention can be used with several other image applications, including Stained-Glass collages presentations.
    • 一种基于信息驱动方法在合成图像中发现感兴趣区域(ROI)的算法,其中基于纹理和颜色特征分析一组合成图像的子块的信息内容或可压缩性。 可以使用DCT来分析一组图像的纹理特征,并且可以使用颜色直方图来分析该组图像的颜色特征。 使用一种形态学技术将低压缩性的子块分组成ROI。 与专门针对高度特定类型的ROI(例如OCR文本检测)的其他算法不同,本发明的方法通常适用于任意合成图像。 本发明可以与数种其它图像应用一起使用,包括彩色玻璃拼贴画展示。
    • 5. 发明申请
    • Extracting video regions of interest
    • 提取感兴趣的视频区域
    • US20050220348A1
    • 2005-10-06
    • US10815389
    • 2004-03-31
    • Patrick ChiuAndreas GirgensohnQiong Liu
    • Patrick ChiuAndreas GirgensohnQiong Liu
    • G06T7/20G06F17/30G06K9/00G06K9/46G06K9/48
    • G06F17/30793G06F17/30802G06F17/30811G06F17/30843G06T7/215
    • In one embodiment, the present invention extracts video regions of interest from one or more videos and generates a highly condensed visual summary of the videos. The video regions of interest are extracted based on to energy, movement, face or other object detection methods, associated data or external input, or some other feature of the video. In another embodiment, the present invention extracts regions of interest from images and generates highly condensed visual summaries of the images. The highly condensed visual summary is generated by laying out germs on a canvas and then filling the spaces between the germs. The result is a visual summary that resembles a stained glass window having cells of varying shape. The germs may be laid out by temporal order, color histogram, similarity, according to a desired pattern, size, or some other manner. The people, objects and other visual content in the germs appear larger and become easier to see. The visual summary of the present invention utilizes important regions within the key frames, leading to more condensed summaries that are well suitable for small screens.
    • 在一个实施例中,本发明从一个或多个视频中提取感兴趣的视频区域,并且生成高分辨率的视频概要。 基于能量,移动,面部或其他物体检测方法,相关联的数据或外部输入或视频的某些其他特征来提取感兴趣的视频区域。 在另一个实施例中,本发明从图像中提取感兴趣的区域并且产生图像的高度浓缩的视觉摘要。 高度浓缩的视觉总结是通过在画布上布置细菌,然后填充细菌之间的空间来产生的。 结果是类似于具有不同形状的细胞的彩色玻璃窗的视觉总结。 根据期望的图案,大小或某种其他方式,细菌可以通过时间顺序,颜色直方图,相似性布置。 细菌中的人,物和其他视觉内容看起来更大,变得更容易看到。 本发明的视觉总结利用关键帧内的重要区域,导致更加精简的摘要,其非常适合于小屏幕。
    • 6. 发明申请
    • Generating a highly condensed visual summary
    • 生成高度浓缩的视觉总结
    • US20050220345A1
    • 2005-10-06
    • US10815354
    • 2004-03-31
    • Patrick ChiuAndreas GirgensohnQiong Liu
    • Patrick ChiuAndreas GirgensohnQiong Liu
    • G06T7/00G06K9/00G06K9/66
    • G06T11/60G06F17/30793G06F17/30802G06F17/30811G06F17/30843G11B27/031G11B27/28
    • In one embodiment, the present invention extracts video regions of interest from one or more videos and generates a highly condensed visual summary of the videos. The video regions of interest are extracted based on to energy, movement, face or other object detection methods, associated data or external input, or some other feature of the video. In another embodiment, the present invention extracts regions of interest from images and generates highly condensed visual summaries of the images. The highly condensed visual summary is generated by laying out germs on a canvas and then filling the spaces between the germs. The result is a visual summary that resembles a stained glass window having cells of varying shape. The germs may be laid out by temporal order, color histogram, similarity, according to a desired pattern, size, or some other manner. The people, objects and other visual content in the germs appear larger and become easier to see. The visual summary of the present invention utilizes important regions within the key frames, leading to more condensed summaries that are well suitable for small screens.
    • 在一个实施例中,本发明从一个或多个视频中提取感兴趣的视频区域,并且生成高分辨率的视频概要。 基于能量,移动,面部或其他物体检测方法,相关联的数据或外部输入或视频的某些其他特征来提取感兴趣的视频区域。 在另一个实施例中,本发明从图像中提取感兴趣的区域并且产生图像的高度浓缩的视觉摘要。 高度浓缩的视觉总结是通过在画布上布置细菌,然后填充细菌之间的空间来产生的。 结果是类似于具有不同形状的细胞的彩色玻璃窗的视觉总结。 根据期望的图案,大小或某种其他方式,细菌可以通过时间顺序,颜色直方图,相似性布置。 细菌中的人,物和其他视觉内容看起来更大,变得更容易看到。 本发明的视觉总结利用关键帧内的重要区域,导致更加精简的摘要,其非常适合于小屏幕。
    • 7. 发明授权
    • Determining regions of interest in synthetic images
    • 确定合成图像中的感兴趣区域
    • US07848567B2
    • 2010-12-07
    • US10948823
    • 2004-09-23
    • Patrick ChiuQiong LiuAndreas Girgensohn
    • Patrick ChiuQiong LiuAndreas Girgensohn
    • G06K9/00G06K9/34G06K9/66G06K15/00H04N1/46
    • G06K9/3233
    • An algorithm for finding regions of interest (ROI) in synthetic images based on an information driven approach in which sub-blocks of a set of synthetic image are analyzed for information content or compressibility based on textural and color features. A DCT may be used to analyze the textural features of a set of images and a color histogram may be used to analyze the color features of the set of images. Sub-blocks of low compressibility are grouped into ROIs using a type of morphological technique. Unlike other algorithms that are geared for highly specific types of ROI (e.g. OCR text detection), the method of the present invention is generally applicable to arbitrary synthetic images. The present invention can be used with several other image applications, including Stained-Glass collages presentations.
    • 一种基于信息驱动方法在合成图像中发现感兴趣区域(ROI)的算法,其中基于纹理和颜色特征分析一组合成图像的子块的信息内容或可压缩性。 可以使用DCT来分析一组图像的纹理特征,并且可以使用颜色直方图来分析该组图像的颜色特征。 使用一种形态学技术将低压缩性的子块分组成ROI。 与专门针对高度特定类型的ROI(例如OCR文本检测)的其他算法不同,本发明的方法通常适用于任意合成图像。 本发明可以与数种其它图像应用一起使用,包括彩色玻璃拼贴画展示。
    • 8. 发明授权
    • Determining regions of interest in photographs and images
    • 确定照片和图像中感兴趣的区域
    • US07724959B2
    • 2010-05-25
    • US10948730
    • 2004-09-23
    • Patrick ChiuQiong LiuAndreas Girgensohn
    • Patrick ChiuQiong LiuAndreas Girgensohn
    • G06K9/46
    • G06K9/3233
    • An algorithm for finding regions of interest (ROI) in images and photos based on an information driven approach in which sub-blocks of an image are analyzed for information content or compressibility based on the discrete cosine transform. The sub-blocks of low compressibility are grouped into ROIs using a morphological technique. Unlike other algorithms that are geared for highly specific types of ROI (e.g. face detection), the method of the present invention is generally applicable to arbitrary images and photos. A center-weighted variation of the algorithm can produce better results for certain photo applications. The algorithm can be used with several other image applications, including Stained-Glass collages and Pan-and-Scan presentations.
    • 一种用于基于信息驱动方法在图像和照片中找到感兴趣区域(ROI)的算法,其中基于离散余弦变换分析图像的子块以获得信息内容或压缩性。 使用形态学技术将低压缩性的子块分组为ROI。 与适用于高度特定类型的ROI(例如面部检测)的其他算法不同,本发明的方法通常适用于任意图像和照片。 算法的中心加权变化可以为某些照片应用产生更好的结果。 该算法可以与其他几种图像应用一起使用,包括彩色玻璃拼贴和泛扫描显示。
    • 9. 发明授权
    • Extracting video regions of interest
    • 提取感兴趣的视频区域
    • US07639839B2
    • 2009-12-29
    • US10815389
    • 2004-03-31
    • Patrick ChiuAndreas GirgensohnQiong Liu
    • Patrick ChiuAndreas GirgensohnQiong Liu
    • G06K9/00G06K9/62G06K9/36
    • G06F17/30793G06F17/30802G06F17/30811G06F17/30843G06T7/215
    • In one embodiment, the present invention extracts video regions of interest from one or more videos and generates a highly condensed visual summary of the videos. The video regions of interest are extracted based on to energy, movement, face or other object detection methods, associated data or external input, or some other feature of the video. In another embodiment, the present invention extracts regions of interest from images and generates highly condensed visual summaries of the images. The highly condensed visual summary is generated by laying out germs on a canvas and then filling the spaces between the germs. The result is a visual summary that resembles a stained glass window having cells of varying shape. The germs may be laid out by temporal order, color histogram, similarity, according to a desired pattern, size, or some other manner. The people, objects and other visual content in the germs appear larger and become easier to see. The visual summary of the present invention utilizes important regions within the key frames, leading to more condensed summaries that are well suitable for small screens.
    • 在一个实施例中,本发明从一个或多个视频中提取感兴趣的视频区域,并且生成高分辨率的视频概要。 基于能量,移动,面部或其他物体检测方法,相关联的数据或外部输入或视频的某些其他特征来提取感兴趣的视频区域。 在另一个实施例中,本发明从图像中提取感兴趣的区域并且产生图像的高度浓缩的视觉摘要。 高度浓缩的视觉总结是通过在画布上布置细菌,然后填充细菌之间的空间来产生的。 结果是类似于具有不同形状的细胞的彩色玻璃窗的视觉总结。 根据期望的图案,大小或某种其他方式,细菌可以通过时间顺序,颜色直方图,相似性布置。 细菌中的人,物和其他视觉内容看起来更大,变得更容易看到。 本发明的视觉总结利用关键帧内的重要区域,导致更加精简的摘要,其非常适合于小屏幕。
    • 10. 发明申请
    • Determining regions of interest in photographs and images
    • 确定照片和图像中感兴趣的区域
    • US20060062455A1
    • 2006-03-23
    • US10948730
    • 2004-09-23
    • Patrick ChiuQiong LiuAndreas Girgensohn
    • Patrick ChiuQiong LiuAndreas Girgensohn
    • G06K9/34G06K9/46
    • G06K9/3233
    • An algorithm for finding regions of interest (ROI) in images and photos based on an information driven approach in which sub-blocks of an image are analyzed for information content or compressibility based on the discrete cosine transform. The sub-blocks of low compressibility are grouped into ROIs using a morphological technique. Unlike other algorithms that are geared for highly specific types of ROI (e.g. face detection), the method of the present invention is generally applicable to arbitrary images and photos. A center-weighted variation of the algorithm can produce better results for certain photo applications. The algorithm can be used with several other image applications, including Stained-Glass collages and Pan-and-Scan presentations.
    • 一种用于基于信息驱动方法在图像和照片中找到感兴趣区域(ROI)的算法,其中基于离散余弦变换分析图像的子块以获得信息内容或压缩性。 使用形态学技术将低压缩性的子块分组为ROI。 与适用于高度特定类型的ROI(例如面部检测)的其他算法不同,本发明的方法通常适用于任意图像和照片。 算法的中心加权变化可以为某些照片应用产生更好的结果。 该算法可以与其他几种图像应用一起使用,包括彩色玻璃拼贴和泛扫描显示。