公开(公告)号：US08423900B2

公开(公告)日：2013-04-16

申请号：US12544561

申请日：2009-08-20

申请人： Claude S. Fillion ,  Vishal Monga ,  Zhigang Fan ,  Ramesh Nagarajan

发明人： Claude S. Fillion ,  Vishal Monga ,  Zhigang Fan ,  Ramesh Nagarajan

IPC分类号： G06F3/00 ,  G06F3/14

CPC分类号： G06T11/60 ,  G06K9/00456 ,  G06T2207/30176

摘要： What is disclosed is a resizing method that utilizes segmentation information to classify objects found within a document and then selects the most appropriate resizing technique for each identified object. The present method employs readily available document parsers to reliably extract objects. e.g. text, background, images, graphics, etc., which compose the document. Information obtained from a document parser is utilized to identify the document components for classification. The extracted objects are then classified according to their object type. Each of classified objects are then resized using a resizing technique having been pre-selected for the object type based on their respective abilities to resize certain types of document content over other resizing techniques. The present method advantageously extends smart or content-based scaling and is especially useful for N-up or variable-information printing. The present method finds its intended uses in enhancing N-up and handout options currently provided in a variety of print-drivers.

摘要翻译： 所公开的是一种调整大小的方法，其利用分段信息对在文档中找到的对象进行分类，然后为每个识别的对象选择最合适的调整大小的技术。 本方法使用容易获得的文档解析器来可靠地提取对象。 例如 文本，背景，图像，图形等等。 从文档解析器获得的信息用于识别用于分类的文档组件。 然后将提取的对象根据其对象类型进行分类。 然后，使用已经针对对象类型预先选择的调整大小的技术来调整每个分类对象的大小，这些大小基于它们各自的能力，以便通过其他大小调整技术调整某些类型的文档内容的大小。 本方法有利地扩展智能或基于内容的缩放，并且对于N上或可变信息打印特别有用。 本方法用于增强目前在各种打印驱动程序中提供的N-up和Handout选项。

公开(公告)号：US20110047505A1

公开(公告)日：2011-02-24

申请号：US12544561

申请日：2009-08-20

申请人： Claude S. Fillion ,  Vishal Monga ,  Zhigang Fan ,  Ramesh Nagarajan

发明人： Claude S. Fillion ,  Vishal Monga ,  Zhigang Fan ,  Ramesh Nagarajan

IPC分类号： G06F3/048

CPC分类号： G06T11/60 ,  G06K9/00456 ,  G06T2207/30176

摘要： What is disclosed is a resizing method that utilizes segmentation information to classify objects found within a document and then selects the most appropriate resizing technique for each identified object. The present method employs readily available document parsers to reliably extract objects. e.g. text, background, images, graphics, etc., which compose the document. Information obtained from a document parser is utilized to identify the document components for classification. The extracted objects are then classified according to their object type. Each of classified objects are then resized using a resizing technique having been pre-selected for the object type based on their respective abilities to resize certain types of document content over other resizing techniques. The present method advantageously extends smart or content-based scaling and is especially useful for N-up or variable-information printing. The present method finds its intended uses in enhancing N-up and handout options currently provided in a variety of print-drivers.

摘要翻译： 所公开的是一种调整大小的方法，其利用分段信息对在文档中找到的对象进行分类，然后为每个识别的对象选择最合适的调整大小的技术。 本方法使用容易获得的文档解析器来可靠地提取对象。 例如 文本，背景，图像，图形等等。 从文档解析器获得的信息用于识别用于分类的文档组件。 然后将提取的对象根据其对象类型进行分类。 然后，使用已经针对对象类型预先选择的调整大小的技术来调整每个分类对象的大小，这些大小基于它们各自的能力，以便通过其他大小调整技术调整某些类型的文档内容的大小。 本方法有利地扩展智能或基于内容的缩放，并且对于N上或可变信息打印特别有用。 本方法用于增强目前在各种打印驱动程序中提供的N-up和Handout选项。

公开(公告)号：US20100201711A1

公开(公告)日：2010-08-12

申请号：US12369790

申请日：2009-02-12

申请人： CLAUDE S. FILLION ,  Vishal Monga ,  Zhigang Fan ,  Ramesh Nagarajan

发明人： CLAUDE S. FILLION ,  Vishal Monga ,  Zhigang Fan ,  Ramesh Nagarajan

IPC分类号： G09G5/00

CPC分类号： G06T3/0012

摘要： What is disclosed is a system and method for performing a background deletion that exploits both local and global context to remove background and other white space between objects with the aim of retaining structural relationships between objects in the document. A document image is received and seams are carved through the image. Seams composed of uniform background pixels are identified. Adjacent seams containing background pixels are collected into groups of seams. The background seam groups are classified according to their widths. A target number of seams to be removed for each background seam group is then determined based on the classification. Seam groups which are wider will have at least the same or a greater target number of seams to be deleted therefrom than will seam groups of narrower widths. The document image is then resized by deleting seams from the seam groups based on the assigned target number.

摘要翻译： 公开的是用于执行背景删除的系统和方法，其利用本地和全局上下文来移除对象之间的背景和其他空白空间，目的是保留文档中的对象之间的结构关系。 收到文件图像，并通过图像刻成接缝。 识别由均匀背景像素构成的接缝。 包含背景像素的相邻接缝被收集成一组接缝。 背景缝组根据其宽度进行分类。 然后基于分类确定要为每个背景接缝组去除的目标接缝数目。 与较窄宽度的接缝组相比，更宽的接缝组将具有至少相同或更大的目标数量的接缝。 然后通过基于分配的目标号码从接缝组中删除接缝来调整文档图像的大小。

公开(公告)号：US08274533B2

公开(公告)日：2012-09-25

申请号：US12369790

申请日：2009-02-12

申请人： Claude S. Fillion ,  Vishal Monga ,  Zhigang Fan ,  Ramesh Nagarajan

发明人： Claude S. Fillion ,  Vishal Monga ,  Zhigang Fan ,  Ramesh Nagarajan

IPC分类号： G09G5/02

CPC分类号： G06T3/0012

摘要： What is disclosed is a system and method for performing a background deletion that exploits both local and global context to remove background and other white space between objects with the aim of retaining structural relationships between objects in the document. A document image is received and seams are carved through the image. Seams composed of uniform background pixels are identified. Adjacent seams containing background pixels are collected into groups of seams. The background seam groups are classified according to their widths. A target number of seams to be removed for each background seam group is then determined based on the classification. Seam groups which are wider will have at least the same or a greater target number of seams to be deleted therefrom than will seam groups of narrower widths. The document image is then resized by deleting seams from the seam groups based on the assigned target number.

摘要翻译： 公开的是用于执行背景删除的系统和方法，其利用本地和全局上下文来移除对象之间的背景和其他空白空间，目的是保留文档中的对象之间的结构关系。 收到文件图像，并通过图像刻成接缝。 识别由均匀背景像素构成的接缝。 包含背景像素的相邻接缝被收集成一组接缝。 背景缝组根据其宽度进行分类。 然后基于分类确定要为每个背景接缝组去除的目标接缝数目。 与较窄宽度的接缝组相比，更宽的接缝组将具有至少相同或更大的目标数量的接缝。 然后通过基于分配的目标号码从接缝组中删除接缝来调整文档图像的大小。

公开(公告)号：US20100142853A1

公开(公告)日：2010-06-10

申请号：US12330879

申请日：2008-12-09

申请人： CLAUDE S. FILLION ,  Vishal Monga ,  Ramesh Nagarajan

发明人： CLAUDE S. FILLION ,  Vishal Monga ,  Ramesh Nagarajan

IPC分类号： G06K9/32

CPC分类号： G06T3/00

摘要： What is disclosed is a method for iterative seam selection in an image resizing system utilizing a seam carving technique. In one embodiment, an importance map is generated for a received source image. Seams are carved through the image from one edge to an opposite edge. An energy is computed for each seam based on pixel importance values. A distance is computed from each seam to a previously selected seam. A weighting for each seam is computed using a defined weighting function and the calculated seam distances. The weighting is applied to the energy of each seam produce a revised energy for each seam. A seam is selected based on the produced revised energy. The image is resized at a location of the selected seam. The process repeats until the image has been resized to a desired target output dimension. In such a manner, unnatural image resizing results are avoided.

摘要翻译： 公开的是一种利用接缝雕刻技术的图像调整系统中迭代缝选择的方法。 在一个实施例中，为接收的源图像生成重要性图。 接缝通过图像从一个边缘到另一个边缘被雕刻。 基于像素重要性值计算每个接缝的能量。 从每个接缝到先前选择的接缝计算一个距离。 使用定义的加权函数和计算的接缝距离来计算每个接缝的加权。 权重应用于每个接缝的能量产生每个接缝的修正能量。 根据产生的修正能量选择接缝。 图像在所选缝的位置被调整大小。 该过程重复，直到图像被调整到期望的目标输出尺寸。 以这种方式，避免了不自然的图像调整结果。

公开(公告)号：US08270771B2

公开(公告)日：2012-09-18

申请号：US12330879

申请日：2008-12-09

申请人： Claude S. Fillion ,  Vishal Monga ,  Ramesh Nagarajan

发明人： Claude S. Fillion ,  Vishal Monga ,  Ramesh Nagarajan

IPC分类号： G06K9/32 ,  G06K9/36 ,  G06K15/10 ,  G09G5/00 ,  G09G5/02 ,  H04N5/44 ,  H04N9/74 ,  H04N3/223 ,  H04N1/393

CPC分类号： G06T3/00

摘要： What is disclosed is a method for iterative seam selection in an image resizing system utilizing a seam carving technique. In one embodiment, an importance map is generated for a received source image. Seams are carved through the image from one edge to an opposite edge. An energy is computed for each seam based on pixel importance values. A distance is computed from each seam to a previously selected seam. A weighting for each seam is computed using a defined weighting function and the calculated seam distances. The weighting is applied to the energy of each seam produce a revised energy for each seam. A seam is selected based on the produced revised energy. The image is resized at a location of the selected seam. The process repeats until the image has been resized to a desired target output dimension. In such a manner, unnatural image resizing results are avoided.

摘要翻译： 公开的是一种利用接缝雕刻技术的图像调整系统中迭代缝选择的方法。 在一个实施例中，为接收的源图像生成重要性图。 接缝通过图像从一个边缘到另一个边缘被雕刻。 基于像素重要性值计算每个接缝的能量。 从每个接缝到先前选择的接缝计算距离。 使用定义的加权函数和计算的接缝距离来计算每个接缝的加权。 权重应用于每个接缝的能量产生每个接缝的修正能量。 根据产生的修正能量选择接缝。 图像在所选缝的位置被调整大小。 该过程重复，直到图像被调整到期望的目标输出尺寸。 以这种方式，避免了不自然的图像调整结果。

公开(公告)号：US20100153581A1

公开(公告)日：2010-06-17

申请号：US12337183

申请日：2008-12-17

申请人： Ramesh Nagarajan ,  Zhigang Fan ,  Vishal Monga

发明人： Ramesh Nagarajan ,  Zhigang Fan ,  Vishal Monga

IPC分类号： G06F17/30 ,  G06F15/16

CPC分类号： G06F16/93

摘要： A method and system for optimizing network transmission of print documents to a rendering device. A document for rendering (e.g., print job) can be received and metadata related to the document analyzed simultaneously. The metadata can then be compared to a number of locally saved files and the document containing matching metadata can be rendered directly from a local storage device, thereby reducing network traffic. Otherwise, the document can be transferred over a network to the rendering device. A record of a number of times the document is being requested for rendering can be tracked by the rendering device in order to retain the document for an extended period of time.

摘要翻译： 一种用于优化打印文档到呈现设备的网络传输的方法和系统。 可以接收用于呈现（例如，打印作业）的文档和与文档同时进行的与文档有关的元数据。 然后可以将元数据与多个本地保存的文件进行比较，并且可以从本地存储设备直接呈现包含匹配元数据的文档，从而减少网络流量。 否则，文档可以通过网络传输到渲染设备。 可以由渲染设备跟踪文档被请求渲染的次数的记录，以便在延长的时间段内保留文档。

公开(公告)号：US20060072830A1

公开(公告)日：2006-04-06

申请号：US11295405

申请日：2005-12-05

申请人： Ramesh Nagarajan ,  Zhigang Fan ,  Shivang Patel

发明人： Ramesh Nagarajan ,  Zhigang Fan ,  Shivang Patel

IPC分类号： G06K9/62

CPC分类号： H04N19/90 ,  G06K9/00449 ,  G06K9/00463

摘要： A method of indexing images contained in scanned documents, wherein said scanned documents are stored in a repository, includes: for each document to be stored in the repository, dividing the document into a plurality of sections; scanning the plurality of sections; segmenting each scanned segment according to a predetermined coding model into image segment and non-image segments; associating each of the image segments with the document; and generating an index correlating the image segments with the document. The method may further include, at the time of image recall, displaying the index of image segments in a user interface; and responsive to selection of an image segment from the index, displaying the document information associated with the image segment in the user interface.

摘要翻译： 一种对包含在扫描文档中的图像进行索引的方法，其中所述扫描的文档存储在存储库中，包括：对于要存储在存储库中的每个文档，将文档分成多个部分; 扫描多个部分; 根据预定的编码模型将每个扫描的片段分割成图像片段和非图像片段; 将每个图像段与文档相关联; 以及生成将图像片段与文档相关联的索引。 该方法还可以包括在图像调用时在用户界面中显示图像片段的索引; 并且响应于从索引中选择图像片段，在用户界面中显示与图像片段相关联的文档信息。

公开(公告)号：US08462394B2

公开(公告)日：2013-06-11

申请号：US12185904

申请日：2008-08-05

申请人： Zhigang Fan ,  Ramesh Nagarajan

发明人： Zhigang Fan ,  Ramesh Nagarajan

IPC分类号： H04N1/40 ,  G06K5/00 ,  G06K9/46 ,  G06K9/36

CPC分类号： H04N1/40062

摘要： Systems and methods are described that facilitate determining an original document format for a scanned document by analyzing a bitmap thereof. Text objects are extracted from the document, binarized, and segmented to identify text. Page orientation and text size are used to distinguish between a slideshow-type document, and a word processing or spreadsheet-type document. To further distinguish between the word processing and spreadsheet types, text column structure and count is analyzed.

摘要翻译： 描述了通过分析其位图来帮助确定扫描文档的原始文档格式的系统和方法。 从文档中提取文本对象，进行二值化和分段以识别文本。 页面方向和文字大小用于区分幻灯片式文档和文字处理或电子表格类型的文档。 为了进一步区分文字处理和电子表格类型，分析文本列结构和计数。

公开(公告)号：US20080055669A1

公开(公告)日：2008-03-06

申请号：US11925134

申请日：2007-10-26

申请人： Ramesh Nagarajan ,  Zhigang Fan ,  Shivang Patel

发明人： Ramesh Nagarajan ,  Zhigang Fan ,  Shivang Patel

IPC分类号： H04N1/40

CPC分类号： H04N19/90 ,  G06K9/00449 ,  G06K9/00463

摘要： A method of indexing images contained in scanned documents, wherein said scanned documents are stored in a repository, includes: for each document to be stored in the repository, dividing the document into a plurality of sections; scanning the plurality of sections; segmenting each scanned segment according to a predetermined coding model into image segment and non-image segments; associating each of the image segments with the document; and generating an index correlating the image segments with the document. The method may further include, at the time of image recall, displaying the index of image segments in a user interface; and responsive to selection of an image segment from the index, displaying the document information associated with the image segment in the user interface.

摘要翻译： 一种对包含在扫描文档中的图像进行索引的方法，其中所述扫描的文档存储在存储库中，包括：对于要存储在存储库中的每个文档，将文档分成多个部分; 扫描多个部分; 根据预定的编码模型将每个扫描的片段分割成图像片段和非图像片段; 将每个图像段与文档相关联; 以及生成将图像片段与文档相关联的索引。 该方法还可以包括在图像调用时在用户界面中显示图像片段的索引; 并且响应于从索引中选择图像片段，在用户界面中显示与图像片段相关联的文档信息。