GENERATING SEARCH REQUESTS FROM MULTIMODAL QUERIES
    31.
    发明申请
    GENERATING SEARCH REQUESTS FROM MULTIMODAL QUERIES 有权
    生成多个查询的搜索请求

    公开(公告)号:US20090041366A1

    公开(公告)日:2009-02-12

    申请号:US12247958

    申请日:2008-10-08

    IPC分类号: G06K9/36

    摘要: A method and system for generating a search request from a multimodal query that includes a query image and query text is provided. The multimodal query system identifies images of a collection that are textually related to the query image based on similarity between words associated with each image and the query text. The multimodal query system then selects those images of the identified images that are visually related to the query image. The multimodal query system may formulate a search request based on keywords of web pages that contain the selected images and submit that search request to a search engine service.

    摘要翻译: 提供了一种用于从包含查询图像和查询文本的多模式查询生成搜索请求的方法和系统。 多模式查询系统基于与每个图像相关联的单词与查询文本之间的相似度来识别与查询图像文本相关的集合的图像。 多模式查询系统然后选择与查询图像视觉相关的识别图像的那些图像。 多模式查询系统可以基于包含所选图像的网页的关键词来制定搜索请求,并将该搜索请求提交给搜索引擎服务。

    Method and system for caching and adapting dynamic display pages for small display devices
    32.
    发明授权
    Method and system for caching and adapting dynamic display pages for small display devices 有权
    用于缓存和调整小显示设备动态显示页面的方法和系统

    公开(公告)号:US07418660B2

    公开(公告)日:2008-08-26

    申请号:US10949147

    申请日:2004-09-23

    IPC分类号: G06F17/00 G06F15/00

    CPC分类号: G06F17/217 G06F17/30905

    摘要: A display system adapts a display page to a small display area using semantic information indicated by portions of the display page that are designated as cacheable. The display system adapts a display page by identifying leaf fragments, that is, fragments that contain no other fragments. The display system then determines whether each leaf fragment is a block that can be displayed as a unit in the display area or should be subdivided into blocks that each can be displayed as a unit in the display area. The display system then displays the display page on a block-by-block basis.

    摘要翻译: 显示系统使用由指定为可缓存的显示页面的部分指示的语义信息来将显示页面适配到小显示区域。 显示系统通过识别叶片片段来适应显示页面,即不包含其他片段的片段。 显示系统然后确定每个叶片片段是否可以作为显示区域中的单元显示的块,或者应该被细分为在显示区域中可以显示为单位的块。 然后显示系统逐个显示显示页面。

    Generating search requests from multimodal queries
    33.
    发明申请
    Generating search requests from multimodal queries 有权
    从多模态查询生成搜索请求

    公开(公告)号:US20070067345A1

    公开(公告)日:2007-03-22

    申请号:US11233352

    申请日:2005-09-21

    IPC分类号: G06F7/00

    摘要: A method and system for generating a search request from a multimodal query that includes a query image and query text is provided. The multimodal query system identifies images of a collection that are textually related to the query image based on similarity between words associated with each image and the query text. The multimodal query system then selects those images of the identified images that are visually related to the query image. The multimodal query system may formulate a search request based on keywords of web pages that contain the selected images and submit that search request to a search engine service.

    摘要翻译: 提供了一种用于从包含查询图像和查询文本的多模式查询生成搜索请求的方法和系统。 多模式查询系统基于与每个图像相关联的单词与查询文本之间的相似度来识别与查询图像文本相关的集合的图像。 多模式查询系统然后选择与查询图像视觉相关的识别图像的那些图像。 多模式查询系统可以基于包含所选图像的网页的关键词来制定搜索请求,并将该搜索请求提交给搜索引擎服务。

    Method and system for learning an attention model for an image

    公开(公告)号:US20060112031A1

    公开(公告)日:2006-05-25

    申请号:US10963930

    申请日:2004-10-12

    申请人: Wei-Ying Ma Xing Xie

    发明人: Wei-Ying Ma Xing Xie

    IPC分类号: G06F15/18

    摘要: A system for learning an attention model for an image based on user navigation actions while viewing the image is provided. An attention model learning system generates an initial attention model based on static features derived from the image. The learning system logs the actions of users as they view the image. The learning system identifies from the actions of the users those areas of the image that may be of user interest: After the learning system identifies areas that may be of user interest, the learning system attempts to identify attention objects based on those identified areas. After identifying the user attention objects, the learning system updates the attention model for the image to reflect the additional information provided by the user attention objects.

    Selecting advertisements based on serving area and map area
    35.
    发明授权
    Selecting advertisements based on serving area and map area 有权
    根据服务区域和地图区域选择广告

    公开(公告)号:US08666821B2

    公开(公告)日:2014-03-04

    申请号:US11467810

    申请日:2006-08-28

    IPC分类号: G06Q30/00 G06F7/00 G06F17/30

    摘要: Methods and systems for selecting advertisements to present to a user of a computing device are provided. An advertisement system selects advertisements to display to a user based on the serving area of candidate advertisements. The advertisement system selects those candidate advertisements whose serving area encompasses the user's current location. The advertisement system may also select candidate advertisements to present to a user based on a map area currently being displayed to the user. The advertisement system may filter the candidate advertisements based on the provider location being within the map area that is currently being displayed to the user.

    摘要翻译: 提供了用于选择向计算设备的用户呈现的广告的方法和系统。 广告系统基于候选广告的服务区域选择向用户显示的广告。 广告系统选择其服务区域包含用户当前位置的那些候选广告。 广告系统还可以基于当前正在显示给用户的地图区域来选择向用户呈现的候选广告。 广告系统可以基于当前正在向用户显示的地图区域内的提供者位置来过滤候选广告。

    Hybrid location and keyword index
    36.
    发明授权
    Hybrid location and keyword index 有权
    混合位置和关键字索引

    公开(公告)号:US08024314B2

    公开(公告)日:2011-09-20

    申请号:US12234563

    申请日:2008-09-19

    IPC分类号: G06F17/30

    摘要: A method and system for generating a hybrid index for indexing objects based on location and keyword attributes and performing location-based searching is provided. A search system performs a location-based search using a hybrid index that indexes both location and keyword attributes of objects. The search system generates the hybrid index either using the location attribute as the primary index or the keyword attribute as the primary index. When the location attribute is the primary index, the keyword attribute is the secondary index, and vice versa. To generate the hybrid index, the search system identifies the values for the keyword and location attributes of each object. The search system generates the primary index to map each value of a first attribute to a secondary index. The search system thus generates, for each value of the first attribute, a secondary index to map values of a second attribute to objects that have the associated values of the first and second attributes. The search system then uses the hybrid index to perform location-based searching.

    摘要翻译: 提供了一种用于基于位置和关键字属性生成用于索引对象的混合索引并执行基于位置的搜索的方法和系统。 搜索系统使用索引对象的位置和关键字属性的混合索引来执行基于位置的搜索。 搜索系统使用location属性作为主索引或keyword属性作为主索引来生成混合索引。 当location属性是主索引时,关键字属性是辅助索引,反之亦然。 为了生成混合索引,搜索系统识别每个对象的关键字和位置属性的值。 搜索系统生成主索引以将第一个属性的每个值映射到次要索引。 因此,搜索系统为第一属性的每个值生成辅助索引,以将第二属性的值映射到具有第一和第二属性的相关联值的对象。 然后,搜索系统使用混合索引来执行基于位置的搜索。

    Generating search results based on duplicate image detection
    37.
    发明授权
    Generating search results based on duplicate image detection 有权
    基于重复图像检测生成搜索结果

    公开(公告)号:US07860317B2

    公开(公告)日:2010-12-28

    申请号:US11278575

    申请日:2006-04-04

    IPC分类号: G06K9/46 G06K9/00

    CPC分类号: G06F17/30259 G06K9/6211

    摘要: A method and system for searching for content relating to a target or query image by identifying duplicate images with associated content is provided. An image search system identifies visual parts of objects within the target image based on analysis of two or more versions of the target image. The image search system identifies visual parts based on analysis of the versions. The image search system then identifies images of an image database that have visual parts that are similar to the visual parts of the target image. The image search system may rank the identified images based on their likelihood of being duplicates of the target image and provide their associated content as the search result ordered according to the ranking of the images.

    摘要翻译: 提供了一种用于通过识别具有相关内容的重复图像来搜索与目标或查询图像相关的内容的方法和系统。 图像搜索系统基于目标图像的两个或多个版本的分析来识别目标图像内的对象的可视部分。 图像搜索系统基于对版本的分析来识别视觉部分。 图像搜索系统然后识别具有与目标图像的视觉部分相似的视觉部分的图像数据库的图像。 图像搜索系统可以基于它们是目标图像的重复的可能性来对所识别的图像进行排序,并且根据图像的排序来提供其相关联的内容作为搜索结果排序。

    Mining geographic knowledge using a location aware topic model
    38.
    发明授权
    Mining geographic knowledge using a location aware topic model 有权
    使用位置感知主题模型挖掘地理知识

    公开(公告)号:US07853596B2

    公开(公告)日:2010-12-14

    申请号:US11766716

    申请日:2007-06-21

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06F17/30241

    摘要: Mining geographic knowledge using a location aware topic model is provided. A location system estimates topics and locations associated with documents based on a location aware topic (“LAT”) model. The location system generates the model from a collection of documents that are labeled with their associated locations. The location system generates collection level parameters based on an LDA-style model. To generate the collection level parameters, the location system estimates probabilities of latent topics, locations, and words of the collection. After the model is generated, the location system uses the collection level parameters to estimate probabilities of topics and locations being associated with target documents.

    摘要翻译: 提供使用位置感知主题模型挖掘地理知识。 位置系统基于位置感知主题(“LAT”)模型估计与文档相关联的主题和位置。 位置系统从标有其关联位置的文档集合生成模型。 位置系统基于LDA样式模型生成收集级别参数。 为了生成收集级参数,定位系统估计集合的潜在主题,位置和单词的概率。 在模型生成之后,位置系统使用集合级参数来估计与目标文档相关联的主题和位置的概率。

    Automatic classification of objects within images
    39.
    发明授权
    Automatic classification of objects within images 有权
    图像内对象的自动分类

    公开(公告)号:US07813561B2

    公开(公告)日:2010-10-12

    申请号:US11464410

    申请日:2006-08-14

    IPC分类号: G06K9/62

    CPC分类号: G06K9/4671 G06F17/30247

    摘要: 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.

    摘要翻译: 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。

    Discovering City Landmarks from Online Journals
    40.
    发明申请
    Discovering City Landmarks from Online Journals 审中-公开
    从在线期刊发现城市地标

    公开(公告)号:US20100205176A1

    公开(公告)日:2010-08-12

    申请号:US12370270

    申请日:2009-02-12

    IPC分类号: G06F17/30

    CPC分类号: G06K9/00704 G06F16/58

    摘要: 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.

    摘要翻译: 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。