公开(公告)号：US20090234831A1

公开(公告)日：2009-09-17

申请号：US12046206

申请日：2008-03-11

Applicant: Shahram Ebadollahi ,  Milind Naphade ,  Apostol Ivanov Natsev ,  John Richard Smith ,  Ioana Roxana Stanoi ,  Jelena Tesic ,  Lexing Xie

Inventor： Shahram Ebadollahi ,  Milind Naphade ,  Apostol Ivanov Natsev ,  John Richard Smith ,  Ioana Roxana Stanoi ,  Jelena Tesic ,  Lexing Xie

IPC: G06F7/06 ,  G06F17/30

CPC classification number: G06F17/30038 ,  G06Q30/0201 ,  G06Q30/0631

Abstract: The present invention is directed to a method and apparatus for assisting in rating and filtering multimedia content, such as images, videos and sound recordings. One embodiment comprises a computer implemented method for rating the objectionability of specified digital content that comprises one or more discrete content items, wherein the method includes the step of moving the specified content to one or more filtering stages in a succession of filtering stages. After the specified content is moved to a given one of the filtering stages, a rating procedure is carried out to determine whether a rating can be applied to one or more of the content items, and if so, a selected rating is applied to each of the one or more content items. The method further comprises moving content items of the specified content to the next stage in the succession after the given stage, when at least one content item of the specified content remains without rating, after the rating procedure at the given stage. When none of the content items of the specified content remains without a rating after the rating procedure has been completed at the given stage, ratings that have been respectively applied to at least some of the content items are selectively processed, in order to determine an overall objectionability rating for the specified content.

Abstract translation: 本发明涉及一种用于协助评估和过滤诸如图像，视频和录音的多媒体内容的方法和装置。 一个实施例包括用于评估包括一个或多个离散内容项目的指定数字内容的不良性的计算机实现的方法，其中该方法包括将指定内容移动到一系列过滤阶段中的一个或多个过滤阶段的步骤。 在将指定内容移动到给定的一个过滤阶段之后，执行评级过程以确定评级是否可应用于一个或多个内容项，如果是，则将所选评级应用于 一个或多个内容项。 该方法还包括在给定阶段之后的指定内容的至少一个内容项目在给定阶段的评级过程之后保持没有评级的情况下，将指定内容的内容项移动到下一阶段。 当在给定阶段在评级程序完成之后，指定内容的内容项目中没有任何内容项目没有得到评级时，已经分别应用于至少一些内容项目的评级被选择性地处理，以便确定总体 指定内容的异议评级。

公开(公告)号：US07124149B2

公开(公告)日：2006-10-17

申请号：US10319295

申请日：2002-12-13

Applicant: John R. Smith ,  Milind Naphade ,  Apostol Natsev

Inventor： John R. Smith ,  Milind Naphade ,  Apostol Natsev

IPC: G06F17/30

CPC classification number: G06F17/3079 ,  G06F17/30247 ,  G06F17/30265 ,  G06F17/30858 ,  G06K9/00624 ,  Y10S707/99931 ,  Y10S707/99943 ,  Y10S707/99945 ,  Y10S707/99948

Abstract: A method and apparatus for extracting a model vector representation from multimedia documents. A model vector provides a multidimensional representation of the confidence with which multimedia documents belong to a set of categories or with which a set of semantic concepts relate to the documents. A model vector can be associated with multimedia documents to provide an index of its content or categorization and can be used for comparing, searching, classifying, or clustering multimedia documents. A model vector can be used for purposes of information discovery, personalizing multimedia content, and querying a multimedia information repository.

Abstract translation: 一种用于从多媒体文档中提取模型向量表示的方法和装置。 模型向量提供多维文档属于一组类别的置信度的多维表示，或者一组语义概念与文档相关。 模型向量可以与多媒体文档相关联，以提供其内容或分类的索引，并可用于比较，搜索，分类或聚类多媒体文档。 模型向量可以用于信息发现，个性化多媒体内容和查询多媒体信息库的目的。

公开(公告)号：US20060026112A1

公开(公告)日：2006-02-02

申请号：US10899857

申请日：2004-07-27

Applicant: Milind Naphade ,  John Smith

Inventor： Milind Naphade ,  John Smith

IPC: G06N5/02 ,  G06F17/00

CPC classification number: G06N99/005

Abstract: An autonomous classification device which enables the creation of autonomous classifiers that are easy to deploy, adapt and optimize in the environment in which they are used. The classifier is autonomous in that it can perform three functions that define autonomic systems: automatically configure itself in an environment, optimize its performance using the environment and mechanisms for performance, and continually adapting to improve performance and heal itself in a changing environment.

Abstract translation: 一种自主分类装置，能够创建易于部署，适应和优化的自主分类器。 分类器是自主的，因为它可以执行定义自主系统的三个功能：在环境中自动配置自身，使用环境和性能机制优化其性能，并不断适应改善性能并在不断变化的环境中治愈自身。

公开(公告)号：US20050289179A1

公开(公告)日：2005-12-29

申请号：US10874553

申请日：2004-06-23

Applicant: Milind Naphade ,  Apostol Natsev ,  John Smith

Inventor： Milind Naphade ,  Apostol Natsev ,  John Smith

IPC: G06F7/00 ,  G06F17/30 ,  G06K9/00 ,  G06K9/62

CPC classification number: G06K9/6292 ,  G06K9/00711

Abstract: A system and method for detecting a concept from digital content are provided. A plurality of representations is generated for same data content for concept detection from the plurality of representations. A plurality of concepts is simultaneously detected from the plurality of representations of the same data content wherein at least one detector provides selection information for selecting the representations generated or a combination of the generated representations. This results in multiple instances of a representation being considered for concept detection.

Abstract translation: 提供了一种从数字内容中检测概念的系统和方法。 为多个表示的概念检测产生用于相同数据内容的多个表示。 从相同数据内容的多个表示中同时检测多个概念，其中至少一个检测器提供用于选择所生成的表示的选择信息或所生成的表示的组合。 这导致代表性的多个实例被考虑用于概念检测。

公开(公告)号：US20050060308A1

公开(公告)日：2005-03-17

申请号：US10647540

申请日：2003-08-26

Applicant: Milind Naphade ,  Apostol Natsev ,  John Smith

Inventor： Milind Naphade ,  Apostol Natsev ,  John Smith

IPC: G06F17/30

CPC classification number: G06F16/58

Abstract: A method, system and recording medium in which descriptors at a first granularity level are propagated, mapped, and/or classified to generate an output content having descriptors at a second granularity level that is finer than the first granularity level.

Abstract translation: 一种方法，系统和记录介质，其中在第一粒度级别的描述符被传播，映射和/或分类以生成具有比第一粒度级更精细的第二粒度级别的描述符的输出内容。

公开(公告)号：US20110066459A1

公开(公告)日：2011-03-17

申请号：US12754706

申请日：2010-04-06

Applicant: En Cheng ,  Anshul Sheopuri ,  Chitra Dorai ,  Milind Naphade

Inventor： En Cheng ,  Anshul Sheopuri ,  Chitra Dorai ,  Milind Naphade

IPC: G06Q10/00

CPC classification number: G06Q10/10 ,  G06Q10/063

Abstract: Exemplary embodiments of this invention provide a method that includes estimating an empirical distribution of a metric for a company. The method includes estimating a distribution of the metric for a plurality of companies. The method further includes determining whether the company is an outlier, based on the empirical distribution of the metric for the company and the distribution of the metric for the plurality of companies, and generating at least one recommendation based determining whether the company is an outlier.

Abstract translation: 本发明的示例性实施例提供了一种方法，其包括估计公司的度量的经验分布。 该方法包括估计多个公司的度量的分布。 该方法还包括基于公司的度量的经验分布和多个公司的度量的分布来确定公司是否是离群值，并且基于确定该公司是否是异常值来生成至少一个推荐。

公开(公告)号：US20070005592A1

公开(公告)日：2007-01-04

申请号：US11158223

申请日：2005-06-21

Applicant: John Kender ,  Milind Naphade

Inventor： John Kender ,  Milind Naphade

IPC: G06F17/30

CPC classification number: G06N5/02 ,  G06F17/241

Abstract: A method, system and program product for evaluating annotations to content are described. Under aspects of the present invention, annotations made to content are received and evaluated for accuracy. Each annotation typically includes at least one element (e.g., terms) describing the content. The evaluation includes a syntactic level evaluation and at least one of a semantic level evaluation, a source level evaluation, a content level evaluation, or an annotator level evaluation. Based on the evaluations, feedback can be provided to an annotator making the annotations.

Abstract translation: 描述用于评估内容注释的方法，系统和程序产品。 在本发明的方面，接收并评估对内容的注释的准确性。 每个注释通常包括描述内容的至少一个元素（例如术语）。 评估包括句法级别评估和语义级别评估，源级评估，内容级别评估或注释级级评估中的至少一种。 基于评估，可以将反馈提供给进行注释的注释器。

公开(公告)号：US20060288272A1

公开(公告)日：2006-12-21

申请号：US11157035

申请日：2005-06-20

Applicant: John Kender ,  Milind Naphade

Inventor： John Kender ,  Milind Naphade

IPC: G06F17/00

CPC classification number: G06F17/30731

Abstract: A method, system and program product developing an annotation lexicon are described. Under aspects of the present invention, annotation(s) to piece(s) of content are received and analyzed using one or more computational analyses. Based on the analyses, feedback will be generated to improve the annotation lexicon and/or the ontology thereof. Such improvement can lead to, among other things: the re-arrangement of interrelationships of terms in the annotation lexicon; the addition, modification or deletion of terms from the annotation lexicon; the re-arrangement or clustering of terms within the annotation lexicon; etc.