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    • 41. 发明授权
    • Automatic classification of objects within images
    • 图像内对象的自动分类
    • US07813561B2
    • 2010-10-12
    • US11464410
    • 2006-08-14
    • Menglei JiaHua LiXing XieZheng ChenWei-Ying Ma
    • Menglei JiaHua LiXing XieZheng ChenWei-Ying Ma
    • G06K9/62
    • G06K9/4671G06F17/30247
    • A system for automatically classifying an object of a target image is provided. A classification system provides a collection of classified images along with a classification of the dominant object of the image. The classification system attempts to classify the object of a target image based on similarity of the target image to the classified images. To classify a target image, the classification system identifies the classified images of the collection that are most similar to the target image based on similarity between salient points of the target image and the classified images. The classification system selects a classification associated with the classified images that are most similar to the target image as a classification for the object of the target image.
    • 提供了一种用于自动分类目标图像的对象的系统。 分类系统提供分类图像的集合以及图像的主要对象的分类。 分类系统尝试基于目标图像与分类图像的相似性对目标图像的对象进行分类。 为了对目标图像进行分类,分类系统基于目标图像的突出点与分类图像之间的相似度来识别与目标图像最相似的集合的分类图像。 分类系统选择与目标图像最相似的分类图像相关联的分类作为目标图像的对象的分类。
    • 42. 发明申请
    • Discovering City Landmarks from Online Journals
    • 从在线期刊发现城市地标
    • US20100205176A1
    • 2010-08-12
    • US12370270
    • 2009-02-12
    • Rongrong JiXing XieWei-Ying Ma
    • Rongrong JiXing XieWei-Ying Ma
    • G06F17/30
    • G06K9/00704G06F16/58
    • A blog-based city landmark discovery framework is described to discover and summarize popular scenes and their representative views from blog photos to provide online personalized tourist suggestions. First, a location extraction algorithm is implemented to infer geographical associations of blog photos from their contextual descriptors, thus providing the ability to harvest city scene photos from web blogs. Second, a visual-textual hierarchical clustering scheme is adopted to organize crawled photos into a scene-view structure, and present a PhotoRank algorithm to discover representative views within each scene by viewing the representative photo selection problem as a popularity ranking problem in a visual correlation environment. Third, author, context and content issues are evaluated in a unified Landmark-HITS model to discover representative scenes as well as build author correlations. The author correlations further facilitate a collaborative filtering process for online personalized tourist suggestions based on an author's previous travel logs.
    • 描述了一个基于博客的城市地标发现框架,以从博客照片中发现和总结流行场景及其代表性视图,提供在线个性化旅游建议。 首先,实现位置提取算法来推断其照片描述符的博客照片的地理关联,从而提供从网络博客收集城市场景照片的能力。 第二,采用视觉文本层次聚类方案将抓取的照片组织到场景视图结构中,并呈现一个PhotoRank算法,通过观察代表性的照片选择问题,在视觉相关中观察到热门排名问题,发现每个场景中的代表性视图 环境。 第三,在统一的Landmark-HITS模型中评估作者,语境和内容问题,以发现代表性场景以及构建作者相关性。 作者的相关性进一步促进了基于作者以前旅行日志的在线个性化旅游建议的协同过滤过程。
    • 43. 发明申请
    • METHOD AND SYSTEM FOR PROGRESSIVE IMAGE TRANSMISSION
    • 用于进化图像传输的方法和系统
    • US20100073372A1
    • 2010-03-25
    • US12563994
    • 2009-09-21
    • Wei-Ying MaXing Xie
    • Wei-Ying MaXing Xie
    • G06T17/00G06K9/34
    • G06K9/3241
    • A method and system for transmitting an image progressively is provided. The transmission system identifies a first region and a second region of the image. The transmission system also identifies a first resolution and a second resolution. The transmission system then transmits the image by transmitting, in the following order, the first region in the first resolution, the second region in the first resolution, the first region in the second resolution, and the second region in the second resolution. The transmission system may identify the regions based on the likelihood of being the focus of user attention.
    • 提供了一种逐渐传输图像的方法和系统。 传输系统识别图像的第一区域和第二区域。 传输系统还识别第一分辨率和第二分辨率。 然后,传输系统按照以下顺序通过以第一分辨率的第一区域,第一分辨率的第二区域,第二分辨率的第一区域和第二分辨率的第二区域传送图像。 传输系统可以基于作为用户关注焦点的可能性来识别区域。
    • 45. 发明申请
    • AUTOMATIC CLASSIFICATION OF OBJECTS WITHIN IMAGES
    • 在图像中自动分类对象
    • US20080037877A1
    • 2008-02-14
    • US11464410
    • 2006-08-14
    • Menglei JiaHua LiXing XieZheng ChenWei-Ying Ma
    • Menglei JiaHua LiXing XieZheng ChenWei-Ying Ma
    • G06K9/62
    • G06K9/4671G06F17/30247
    • A system for automatically classifying an object of a target image is provided. A classification system provides a collection of classified images along with a classification of the dominant object of the image. The classification system attempts to classify the object of a target image based on similarity of the target image to the classified images. To classify a target image, the classification system identifies the classified images of the collection that are most similar to the target image based on similarity between salient points of the target image and the classified images. The classification system selects a classification associated with the classified images that are most similar to the target image as a classification for the object of the target image.
    • 提供了一种用于自动分类目标图像的对象的系统。 分类系统提供分类图像的集合以及图像的主要对象的分类。 分类系统尝试基于目标图像与分类图像的相似性对目标图像的对象进行分类。 为了对目标图像进行分类,分类系统基于目标图像的突出点与分类图像之间的相似度来识别与目标图像最相似的集合的分类图像。 分类系统选择与目标图像最相似的分类图像相关联的分类作为目标图像的对象的分类。
    • 47. 发明申请
    • Block importance analysis to enhance browsing of web page search results
    • 加强对网页搜索结果浏览的重要性分析
    • US20060123042A1
    • 2006-06-08
    • US11007082
    • 2004-12-07
    • Xing XieWei-Ying MaGengxin Miao
    • Xing XieWei-Ying MaGengxin Miao
    • G06F17/00G06F7/00
    • G06F16/9577
    • Systems and methods for block importance analysis to enhance browsing of web page search results are described. In one aspect, a server analyzes content of a document as a function of multiple block importance criteria. The server assigns a respective block importance level of multiple importance levels to respective block(s) of the analyzed content. The server generates one or more customized documents from block(s) of the content as a function of respective assigned block importance level(s) of the block(s). Each of the one or more customized documents is generated in a particular format of multiple formats to enhance user interaction with the document on a small form factor computing device.
    • 描述了用于块重要性分析以增强网页搜索结果浏览的系统和方法。 在一个方面,服务器根据多个块重要性标准来分析文档的内容。 服务器将多个重要性级别的相应块重要性级别分配给所分析内容的相应块。 服务器根据块的相应分配的块重要性级别来生成来自内容块的一个或多个定制文档。 一个或多个定制文档中的每一个以多种格式的特定格式生成,以增强与小尺寸计算设备上的文档的用户交互。
    • 49. 发明申请
    • AIR QUALITY INFERENCE USING MULTIPLE DATA SOURCES
    • 使用多个数据源的空气质量控制
    • US20160125307A1
    • 2016-05-05
    • US14896344
    • 2013-06-05
    • Yu ZHENGXing XIEWei-Ying MAHsiao-Wuen HONEric I-Chao CHANGMICROSOFT TECHNOLOGY LICENSING, LLC
    • Yu ZhengXing XieWei-Ying MaHsiao-Wuen HonEric I-Chao Chang
    • G06N7/00G06N3/08G06N99/00
    • G06N7/005G06N3/08G06N20/00
    • The use of data from multiple data source provides inferred air quality indices with respect to a particular pollutant for multiple areas without the addition of air quality monitor stations to those areas. Labeled air quality index data for a pollutant in a region may be obtained from one or more air quality monitor stations. Spatial features for the region may be extracted from spatially-related data for the region. The spatially-related data may include information on fixed infrastructures in the region. Likewise, temporal features for the region may be extracted from temporally-related data for the region that changes over time. A co-training based learning framework may be further applied to co-train a spatial classifier and a temporal classifier based at least on the labeled air quality index data, the spatial features for the region, and the temporal features for the region.
    • 使用多个数据源的数据可以为多个地区的特定污染物提供推测的空气质量指标,而无需向这些地区添加空气质量监测站。 可以从一个或多个空气质量监测站获得区域中污染物的标签空气质量指数数据。 该区域的空间特征可以从该区域的空间相关数据中提取。 与空间有关的数据可能包括有关该地区固定基础设施的信息。 类似地,可以从随时间变化的区域的时间相关数据中提取该区域的时间特征。 基于共同训练的学习框架可以进一步应用于至少基于标记的空气质量指数数据,该区域的空间特征和该区域的时间特征来共同训练空间分类器和时间分类器。
    • 50. 发明授权
    • Generating a multi-use vocabulary based on image data
    • 基于图像数据生成多用词汇
    • US08396331B2
    • 2013-03-12
    • US11831862
    • 2007-07-31
    • Menglei JiaXing XieWei-Ying Ma
    • Menglei JiaXing XieWei-Ying Ma
    • G06K9/54
    • G06K9/4676
    • Functionality is described for generating a vocabulary from a source dataset of image items or other non-textual items. The vocabulary serves as a tool for retrieving items from a target dataset in response to queries. The vocabulary has at least one characteristic that allows it to be used to retrieve items from multiple different target datasets. A target dataset can have a different size than the source dataset and/or a different type than the source dataset. The enabling characteristic may correspond to a size of the source dataset above a prescribed minimum number of items and/or a size of the vocabulary above a prescribed minimum number of words.
    • 描述了从图像项目或其他非文本项目的源数据集生成词汇表的功能。 词汇表作为从目标数据集中检索项目以响应查询的工具。 词汇具有至少一个特性,允许它用于从多个不同的目标数据集中检索项目。 目标数据集可以具有与源数据集不同的大小和/或与源数据集不同的类型。 启用特性可以对应于高于规定的最小数量的项目的数据源的大小和/或在规定的最小字数之上的词汇的大小。