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    • 3. 发明申请
    • SKETCH-BASED IMAGE SEARCH
    • 基于草图的图像搜索
    • US20120054177A1
    • 2012-03-01
    • US12873007
    • 2010-08-31
    • Changhu WangZhiwei LiLei Zhang
    • Changhu WangZhiwei LiLei Zhang
    • G06F17/30
    • G06F17/30259G06F17/30277G06K9/00402G06K9/4604G06K9/4609G06K9/4671
    • Sketch-based image search may include receiving a query curve as a sketch query input and identifying a first plurality of oriented points based on the query curve. The first plurality of oriented points may be used to locate at least one image having a curve that includes a second plurality of oriented points that match at least some of the first plurality of oriented points Implementations also include indexing a plurality of images by identifying at least one curve in each image and generating an index comprising a plurality of oriented points as index entries. The index entries are associated with the plurality of images based on corresponding oriented points in the identified curves in the images.
    • 基于草图的图像搜索可以包括接收查询曲线作为草图查询输入,并且基于查询曲线来识别第一多个定向点。 可以使用第一多个定向点来定位具有曲线的至少一个图像,该曲线包括与第一多个定向点中的至少一些匹配的第二多个定向点。实现还包括通过至少识别多个图像来索引多个图像 每个图像中的一个曲线并且生成包括多个定向点作为索引条目的索引。 索引条目基于图像中所识别的曲线中的对应的定向点与多个图像相关联。
    • 4. 发明授权
    • Sketch-based image search
    • 基于草图的图像搜索
    • US09449026B2
    • 2016-09-20
    • US12873007
    • 2010-08-31
    • Changhu WangZhiwei LiLei Zhang
    • Changhu WangZhiwei LiLei Zhang
    • G06F17/30G06K9/46G06K9/00
    • G06F17/30259G06F17/30277G06K9/00402G06K9/4604G06K9/4609G06K9/4671
    • Sketch-based image search may include receiving a query curve as a sketch query input and identifying a first plurality of oriented points based on the query curve. The first plurality of oriented points may be used to locate at least one image having a curve that includes a second plurality of oriented points that match at least some of the first plurality of oriented points. Implementations also include indexing a plurality of images by identifying at least one curve in each image and generating an index comprising a plurality of oriented points as index entries. The index entries are associated with the plurality of images based on corresponding oriented points in the identified curves in the images.
    • 基于草图的图像搜索可以包括接收查询曲线作为草图查询输入,并且基于查询曲线来识别第一多个定向点。 可以使用第一多个定向点来定位具有曲线的至少一个图像,该曲线包括与第一多个定向点中的至少一些相匹配的第二多个定向点。 实现还包括通过识别每个图像中的至少一个曲线并生成包括多个定向点的索引作为索引条目来索引多个图像。 索引条目基于图像中所识别的曲线中的对应的定向点与多个图像相关联。
    • 7. 发明授权
    • Identifying visual contextual synonyms
    • 识别视觉上下文同义词
    • US09082040B2
    • 2015-07-14
    • US13107717
    • 2011-05-13
    • Rui CaiZhiwei LiLei ZhangWenbin Tang
    • Rui CaiZhiwei LiLei ZhangWenbin Tang
    • G06F17/30G06K9/46
    • G06K9/4671G06F17/30256G06K9/4676
    • Tools and techniques for identifying visual contextual synonyms are described herein. The described operations use visual words having similar contextual distributions as contextual synonyms to identify and describe visual objects that share semantic meaning. The contextual distribution of a visual word is described using the statistics of co-occurrence and spatial information averaged over image patches that share the visual word. In various implementations, the techniques are employed to construct a visual contextual synonym dictionary for a large visual vocabulary. In various implementations, the visual contextual synonym dictionary narrows the semantic gap for large-scale visual search.
    • 本文描述了用于识别视觉上下文同义词的工具和技术。 所描述的操作使用具有相似语境分布的视觉词作为上下文同义词来识别和描述共享语义意义的视觉对象。 使用共享视觉词的图像补丁上平均的同现和空间信息的统计来描述视觉词的语境分布。 在各种实现中,使用这些技术来构建用于大型视觉词汇表的视觉上下文同义词字典。 在各种实现中,视觉上下文同义词词典缩小了大规模视觉搜索的语义差距。
    • 9. 发明申请
    • IDENTIFYING VISUAL CONTEXTUAL SYNONYMS
    • 识别视觉语境同步
    • US20120290577A1
    • 2012-11-15
    • US13107717
    • 2011-05-13
    • Rui CaiZhiwei LiLei ZhangWenbin Tang
    • Rui CaiZhiwei LiLei ZhangWenbin Tang
    • G06F17/30
    • G06K9/4671G06F17/30256G06K9/4676
    • Tools and techniques for identifying visual contextual synonyms are described herein. The described operations use visual words having similar contextual distributions as contextual synonyms to identify and describe visual objects that share semantic meaning. The contextual distribution of a visual word is described using the statistics of co-occurrence and spatial information averaged over image patches that share the visual word. In various implementations, the techniques are employed to construct a visual contextual synonym dictionary for a large visual vocabulary. In various implementations, the visual contextual synonym dictionary narrows the semantic gap for large-scale visual search.
    • 本文描述了用于识别视觉上下文同义词的工具和技术。 所描述的操作使用具有相似语境分布的视觉词作为上下文同义词来识别和描述共享语义意义的视觉对象。 使用共享视觉词的图像补丁上平均的同现和空间信息的统计来描述视觉词的语境分布。 在各种实现中,使用这些技术来构建用于大型视觉词汇表的视觉上下文同义词字典。 在各种实现中,视觉上下文同义词词典缩小了大规模视觉搜索的语义差距。
    • 10. 发明申请
    • Long-Query Retrieval
    • 长查询检索
    • US20110078159A1
    • 2011-03-31
    • US12571302
    • 2009-09-30
    • Zhiwei LiLei ZhangRui CaiWei-Ying MaHeung-Yeung Shum
    • Zhiwei LiLei ZhangRui CaiWei-Ying MaHeung-Yeung Shum
    • G06F17/30
    • G06F17/3028G06F17/30448
    • Described herein is a technology that facilitates efficient large-scale similarity-based retrieval. In several embodiments documents, images, and/or other multimedia files are compactly represented and efficiently indexed to enable robust search using a long-query in a large-scale corpus. As described herein, these techniques include performing decomposition of a file, e.g., a document or document-like representation. The techniques use dimension reduction to obtain three parts, topic-related words (major semantics), document specific words (minor semantics), and background words, representing the major semantics in a feature vector and the minor semantics as keywords. Using the techniques described, file vectors are matched in a topic model and the results ranked based on the keywords.
    • 这里描述了一种有助于有效的大规模相似性检索的技术。 在几个实施例中,文档,图像和/或其他多媒体文件被紧凑地表示并且被有效地索引,以使得能够使用大规模语料库中的长查询进行鲁棒搜索。 如这里所述,这些技术包括执行文件的分解,例如文档或类似文档的表示。 这些技术使用维度缩减来获得三个部分,主题相关词(主要语义),文档特定词(次要语义)和背景词,表示特征向量中的主要语义和次要语义作为关键字。 使用所描述的技术,在主题模型中匹配文件向量,并根据关键字对结果进行排名。