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31. 发明申请

US20070086675A1 Segmenting images and simulating motion blur using an image sequence 有权
标题翻译：使用图像序列分割图像和模拟运动模糊
公开(公告)号：US20070086675A1
公开(公告)日：2007-04-19
申请号：US11248175
申请日：2005-10-13
申请人： Troy Chinen , Sergey Ioffe , Thomas Leung , Yang Song
发明人： Troy Chinen , Sergey Ioffe , Thomas Leung , Yang Song
IPC分类号： G06K9/36 , G06K9/20
CPC分类号： G06T5/002 , G06T7/11 , G06T7/194 , G06T7/215 , G06T11/00 , G06T2207/10016 , G06T2207/20036 , H04N5/2625
摘要： A sequence of images depicts a foreground object in motion. A base image is selected, and the other images in the sequence are co-registered with the base image in order to align the images to a common coordinate system. A background image and a binary foreground mask are generated from the sequence of aligned images. By applying the foreground mask to a chosen one of the aligned images, a representation of the moving object is extracted. After blurring the background image, the extracted representation may be superimposed onto the blurred background image to produce a new image.
摘要翻译：图像序列描绘了运动中的前景物体。选择基本图像，并且序列中的其他图像与基本图像共同对准，以便将图像对准到公共坐标系。从对齐图像的序列生成背景图像和二进制前景蒙版。通过将前景蒙版应用于所选择的一个对准的图像，提取移动物体的表示。在模糊背景图像之后，提取的表示可以叠加到模糊背景图像上以产生新图像。

32. 发明申请

US20050105780A1 Method and apparatus for object recognition using probability models 失效
标题翻译：使用概率模型对象识别的方法和装置
公开(公告)号：US20050105780A1
公开(公告)日：2005-05-19
申请号：US10734258
申请日：2003-12-15
申请人： Sergey Ioffe
发明人： Sergey Ioffe
IPC分类号： G06T1/00 , G06K9/00 , G06K9/46 , G06K9/62 , G06T7/00
CPC分类号： G06K9/6296 , G06K9/00281
摘要： A method and an apparatus automatically recognize or verify objects in a digital image using probability models. According to a first aspect, a method and apparatus automatically recognize or verify objects in a digital image by: accessing digital image data including an object of interest therein; detecting an object of interest in the image; normalizing the object to generate a normalized object representation; extracting a plurality of features from the normalized object representation; and applying each feature to a previously-determined additive probability model to determine the likelihood that the object of interest belongs to an existing class. In one embodiment, the previously-determined additive probability model is an Additive Gaussian Model.
摘要翻译：方法和装置使用概率模型自动识别或验证数字图像中的对象。根据第一方面，一种方法和装置通过以下方式自动识别或验证数字图像中的对象：访问包括其中的关注对象的数字图像数据; 检测图像中感兴趣的对象; 规范化对象以生成规范化对象表示; 从归一化对象表示中提取多个特征; 以及将每个特征应用于先前确定的附加概率模型以确定感兴趣对象属于现有类的可能性。在一个实施例中，先前确定的附加概率模型是加性高斯模型。

33. 发明授权

US09288484B1 Sparse coding dictionary priming 有权
标题翻译：稀疏编码字典启动
公开(公告)号：US09288484B1
公开(公告)日：2016-03-15
申请号：US13598682
申请日：2012-08-30
申请人： Sergey Ioffe , Pascal Massimino
发明人： Sergey Ioffe , Pascal Massimino
IPC分类号： H04N19/00
CPC分类号： H04N19/00 , H04N19/50
摘要： A method and apparatus for performing sparse coding dictionary priming are disclosed. Sparse coding dictionary priming may include iteratively training a coding dictionary, which may include a plurality of codewords or bases. Iteratively training the coding dictionary may include identifying a sampling index cardinality, identifying a portion of a video stream, decomposing the portion of the video stream, and updating the codeword based on the portion of the video stream. Decomposing the portion of the video stream may include randomly identifying a set of codewords from the plurality of codewords wherein a cardinality of the set of codewords is the sampling index cardinality and wherein the sampling index cardinality is less a cardinality of the plurality of codewords, and determining a codeword having a maximum correlation with the portion of the video stream from the set of codewords.
摘要翻译：公开了一种用于执行稀疏编码字典启动的方法和装置。稀疏编码字典初始化可以包括迭代地训练可以包括多个码字或碱基的编码词典。迭代训练编码词典可以包括识别采样索引基数，识别视频流的一部分，分解视频流的部分，以及基于视频流的该部分来更新码字。分解视频流的部分可以包括从多个码字中随机识别一组码字，其中码字集合的基数是采样索引基数，并且其中采样索引基数小于多个码字的基数，以及确定与来自码字集合的视频流的部分具有最大相关性的码字。

34. 发明授权

US09235875B2 Image enhancement using learned non-photorealistic effects 有权
标题翻译：使用学习的非真实感效果的图像增强
公开(公告)号：US09235875B2
公开(公告)日：2016-01-12
申请号：US13666928
申请日：2012-11-01
申请人： Sergey Ioffe , Hui Fang
发明人： Sergey Ioffe , Hui Fang
IPC分类号： G06T5/00 , G06K9/40 , G06T15/02
CPC分类号： G06T5/001 , G06K9/40 , G06T15/02
摘要： Systems, methods and computer readable media for image enhancement using learned non-photorealistic effects. In some implementations, a method can include obtaining an original image. The method can also include analyzing the original image to determine one or more characteristics of the original image. The method can further include selecting one or more filters based on the one or more characteristics and applying the one or more filters to the original image to generate a modified image. The method can include causing the modified image to be displayed.
摘要翻译：使用学习的非真实感效果的图像增强的系统，方法和计算机可读介质。在一些实现中，一种方法可以包括获得原始图像。该方法还可以包括分析原始图像以确定原始图像的一个或多个特征。该方法还可以包括基于一个或多个特征来选择一个或多个滤波器，并将一个或多个滤波器应用于原始图像以生成修改图像。该方法可以包括使得修改的图像被显示。

35. 发明授权

US08953811B1 Full digest of an audio file for identifying duplicates 有权
标题翻译：用于识别重复的音频文件的完整摘要
公开(公告)号：US08953811B1
公开(公告)日：2015-02-10
申请号：US13450427
申请日：2012-04-18
申请人： Matthew Sharifi , Gheorghe Postelnicu , Sergey Ioffe
发明人： Matthew Sharifi , Gheorghe Postelnicu , Sergey Ioffe
IPC分类号： H04R29/00 , G06F7/00 , G10L19/00 , H04H60/32
CPC分类号： H04H60/58 , H04H60/37 , H04H2201/90
摘要： Systems and methods are provided herein relating to audio matching. A compact digest can be generated based on sets of triples, where triples are groupings of three interest points that meet threshold criteria. The compact digest can be used in identifying a potential audio match. A full digest can then be used in verifying the potential match. By using a compact digest to perform audio matching, the audio matching system can be scaled to encompass millions or billions of reference audio samples while still using the full digest to maintain accuracy.
摘要翻译：本文提供了与音频匹配有关的系统和方法。可以基于三元组的集合生成紧凑的摘要，其中三元组是满足阈值标准的三个兴趣点的分组。紧凑的摘要可用于识别潜在的音频匹配。然后可以使用完整的摘要来验证潜在的匹配。通过使用紧凑的摘要来执行音频匹配，音频匹配系统可以缩放以涵盖数百万或数十亿的参考音频样本，同时仍然使用完整的摘要来保持准确性。

36. 发明授权

US08751530B1 Visual restrictions for image searches 有权
标题翻译：图像搜索的视觉限制
公开(公告)号：US08751530B1
公开(公告)日：2014-06-10
申请号：US13565149
申请日：2012-08-02
申请人： Sergey Ioffe
发明人： Sergey Ioffe
IPC分类号： G06F17/30
CPC分类号： G06F17/30277 , G06F17/30247
摘要： A method and apparatus are provided for performing an image search based on a search query having a portion P1 and a portion P2. Based on the first search query, a second search query is generated that includes a portion P3 and the portion P2, such that the second search query is broader in scope than the first search query, while still retaining the portion P2 of the first query. A first image search is then performed for the first search query to obtain a first set of search results and a second image search is performed for the second search query to obtain a second set of search results. Consequently, an image from the first set of search results is selected for presentation to a user, wherein the selection is based on content of the second set of search results.
摘要翻译：提供了一种基于具有部分P1和部分P2的搜索查询执行图像搜索的方法和装置。基于第一搜索查询，生成包括部分P3和部分P2的第二搜索查询，使得第二搜索查询在范围上比第一搜索查询更宽，同时仍保留第一查询的部分P2。然后对第一搜索查询执行第一图像搜索以获得第一组搜索结果，并且为第二搜索查询执行第二图像搜索以获得第二组搜索结果。因此，选择来自第一组搜索结果的图像以呈现给用户，其中所述选择基于第二组搜索结果的内容。

37. 发明授权

US08712216B1 Selection of hash lookup keys for efficient retrieval 有权
标题翻译：选择哈希查询键以进行有效的检索
公开(公告)号：US08712216B1
公开(公告)日：2014-04-29
申请号：US13476906
申请日：2012-05-21
申请人： Michele Covell , Sergey Ioffe , Shumeet Baluja , David Marwood
发明人： Michele Covell , Sergey Ioffe , Shumeet Baluja , David Marwood
IPC分类号： H04N9/80
CPC分类号： G06F17/30858 , G11B27/28
摘要： Videos are received and indexed based on fingerprints generated for the videos, using lookup keys which correspond to sub portions of the reference fingerprints. Specifically, a set of lookup keys is selected such that the number of reference fingerprints such that the clumping associated with the associated each of the lookup keys is minimized. Clumping occurs when a number of reference identifiers associated with a lookup key exceeds a maximum value.
摘要翻译：基于为视频生成的指纹，使用与参考指纹的子部分相对应的查找键来接收和索引视频。具体地，选择一组查找键，使得参考指纹的数量使得与相关联的每个查找键相关联的聚集被最小化。当与查找键相关联的多个参考标识符超过最大值时，会发生分组。

38. 发明授权

US08660296B1 Systems and methods for facilitating video fingerprinting using local descriptors 有权
标题翻译：使用局部描述符促进视频指纹识别的系统和方法
公开(公告)号：US08660296B1
公开(公告)日：2014-02-25
申请号：US13347680
申请日：2012-01-10
申请人： Sergey Ioffe
发明人： Sergey Ioffe
IPC分类号： G06K9/00
CPC分类号： G06T1/0021 , G06K9/00744 , G06K9/4671 , H04N21/835
摘要： Systems and methods for facilitating video fingerprinting are provided. In one embodiment, a system can include: a memory, a microprocessor, a communication component that receives a video, and a video fingerprinting component that fingerprints the video with a subfingerprint (SFP). The video fingerprinting component can employ an SFP component stored in the memory and that comprises: a feature extraction component that determines local descriptors for at least one frame of a video; and a quantization component that quantizes the local descriptors to generate first frame information including a set of values for the at least one frame. The SFP component can also include: an accumulation component that accumulates first frame information over a snippet of the video; and an SFP generation component that computes the SFP associated with the snippet. The SFP can be computed based on a hash based on the accumulated first frame information over the snippet.
摘要翻译：提供了便于视频指纹识别的系统和方法。在一个实施例中，系统可以包括：存储器，微处理器，接收视频的通信组件以及使用子指纹（Sff）对视频进行指纹的视频指纹分量。视频指纹分量可以采用存储在存储器中的SFP组件，其包括：特征提取组件，其确定视频的至少一帧的本地描述符; 以及量化分量，其量化所述局部描述符以产生包括所述至少一个帧的一组值的第一帧信息。 SFP组件还可以包括：累积部件，其通过视频的片段累积第一帧信息; 以及计算与代码片段相关联的SFP的SFP生成组件。可以基于基于片段上累积的第一帧信息的散列来计算SFP。

39. 发明授权

US08582872B1 Place holder image detection via image clustering 有权
标题翻译：通过图像聚类进行放置图像检测
公开(公告)号：US08582872B1
公开(公告)日：2013-11-12
申请号：US13173898
申请日：2011-06-30
申请人： Sergey Ioffe , Samy Bengio , Troy Chinen , Olivier Bousquet
发明人： Sergey Ioffe , Samy Bengio , Troy Chinen , Olivier Bousquet
IPC分类号： G06K9/62
CPC分类号： G06K9/627 , G06F17/30247 , G06K9/6263
摘要： Methods, systems, and articles of manufacture for detecting placeholder images are disclosed. These include, accessing a collection of digital images, clustering the digital images to generate at least one of a plurality of exact-duplicate image clusters and a plurality of near-duplicate image clusters, and selecting one or more placeholder image clusters from at least one of the plurality of exact-duplicate image clusters or the plurality of near-duplicate image clusters.
摘要翻译：公开了用于检测占位符图像的方法，系统和制品。这些包括：访问数字图像的集合，将数字图像聚类以生成多个精确重复的图像簇和多个近似重复的图像簇中的至少一个，以及从至少一个图像集群中选择一个或多个占位符图像簇的多个精确重复的图像簇或多个近似重复的图像簇。

40. 发明授权

US08429212B1 Training scoring models optimized for highly-ranked results 失效
公开(公告)号：US08429212B1
公开(公告)日：2013-04-23
申请号：US13342532
申请日：2012-01-03
申请人： Samy Bengio , Gal Chechik , Sergey Ioffe , Jay Yagnik
发明人： Samy Bengio , Gal Chechik , Sergey Ioffe , Jay Yagnik
IPC分类号： G06F17/00
CPC分类号： G06K9/66 , G06F17/30244 , G06F17/3053 , G06K9/6267 , Y10S707/913 , Y10S707/915
摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training scoring models. One method includes storing data identifying a plurality of positive and a plurality of negative training images for a query. The method further includes selecting a first image from either the positive group of images or the negative group of images, and applying a scoring model to the first image. The method further includes selecting a plurality of candidate images from the other group of images, applying the scoring model to each of the candidate images, and then selecting a second image from the candidate images according to scores for the images. The method further includes determining that the scores for the first image and the second image fail to satisfy a criterion, updating the scoring model, and storing the updated scoring model.

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