公开(公告)号：US20130071816A1

公开(公告)日：2013-03-21

申请号：US13622917

申请日：2012-09-19

Applicant: Sudhir Kumar Singh ,  Vwani Roychowdhury

Inventor： Sudhir Kumar Singh ,  Vwani Roychowdhury

IPC: G09B19/00

CPC classification number: G09B19/00 ,  G09B19/0076

Abstract: This invention presents a universal framework for the discovery, understanding and matching of dress styles. In one embodiment, a computer-implemented method for building a universal dress style learner is disclosed, said method comprising: learning human skin models; detecting skin using the learned human skin models; collecting a set of dress images worn by a model; computing a set of style features based on the skin detected for at least one subset within the set of dress images; computing a set of clusters on the at least one subset of dress images based on at least one subset of the set of style features; validating the set of clusters for the at least one subset of style features; and computing a set of validated style features and a style basis.

Abstract translation: 本发明提供了一种通用框架，用于发现，理解和匹配服装风格。 在一个实施例中，公开了一种用于建立通用礼服风格学习者的计算机实现方法，所述方法包括：学习人体皮肤模型; 使用学习的人体皮肤模型检测皮肤; 收集一套模特穿着的衣服图像; 基于针对所述服装图像集合中的至少一个子集检测到的皮肤来计算一组风格特征; 基于所述一组样式特征的至少一个子集来计算穿着图像的至少一个子集上的一组聚类; 验证所述风格特征的所述至少一个子集的集合集合; 并计算一组经过验证的风格特征和风格基础。

公开(公告)号：US20120102033A1

公开(公告)日：2012-04-26

申请号：US13091459

申请日：2011-04-21

Applicant: Nima Sarshar ,  Sudhir Kumar Singh ,  Vwani P. Roychowdhury

Inventor： Nima Sarshar ,  Sudhir Kumar Singh ,  Vwani P. Roychowdhury

IPC: G06F17/30

CPC classification number: G06F17/30017 ,  G06F17/30731 ,  G06F17/30743 ,  G06F17/30784

Abstract: The present disclosure describes a method and system called “Universal Learner (UL),” which provides a unified framework to understand multimedia signals. The UL utilizes the loosely annotated multimedia data on the Web, analyses it in various signal domains, such as text, image, audio and combinations thereof, and builds an association graph called the “Multimedia Brain,” which basically comprises visual signals, audio signals, text phrases and the like that capture a multitude of objects, experiences and their attributes and the links among them that capture similar intent or functional and contextual relationships.

Abstract translation: 本公开描述了一种称为“通用学习者（UL）”的方法和系统，其提供了一种统一的框架来理解多媒体信号。 UL利用Web上的松散注释的多媒体数据，在各种信号域（例如文本，图像，音频及其组合）中进行分析，并构建一个称为“多媒体脑”的关联图，其基本上包括视觉信号，音频信号 ，文本短语等，捕获许多对象，经验及其属性，以及捕获类似意图或功能和上下文关系的它们之间的链接。

公开(公告)号：US08949198B2

公开(公告)日：2015-02-03

申请号：US13894313

申请日：2013-05-14

Applicant: Nima Sarshar ,  Sudhir Kumar Singh ,  Vwani P. Roychowdhury

Inventor： Nima Sarshar ,  Sudhir Kumar Singh ,  Vwani P. Roychowdhury

IPC: G06F17/30

CPC classification number: G06F17/30017 ,  G06F17/30731 ,  G06F17/30743 ,  G06F17/30784

Abstract: A unified framework to understand multimedia signals utilizes the loosely annotated multimedia data on the Web, analysis it in various signal domains, such as text, image, audio and combinations thereof, and builds an association graph called the “Multimedia Brain,” which basically comprises visual signals, audio signals, text phrases and the like that capture a multitude of objects, experiences and their attributes and the links among them that capture similar intent or functional and contextual relationships.

Abstract translation: 了解多媒体信号的统一框架利用Web上的松散注释的多媒体数据，在各种信号域（如文本，图像，音频及其组合）中进行分析，并构建一个称为“多媒体脑”的关联图，其中基本上包括 视觉信号，音频信号，文本短语等，其捕获许多对象，经验及其属性，以及捕获类似意图或功能和上下文关系的它们之间的链接。

公开(公告)号：US08463756B2

公开(公告)日：2013-06-11

申请号：US13091459

申请日：2011-04-21

Applicant: Nima Sarshar ,  Sudhir Kumar Singh ,  Vwani P. Roychowdhury

Inventor： Nima Sarshar ,  Sudhir Kumar Singh ,  Vwani P. Roychowdhury

IPC: G06F17/30

CPC classification number: G06F17/30017 ,  G06F17/30731 ,  G06F17/30743 ,  G06F17/30784

Abstract: “A Universal Learner (UL)” provides a unified framework to understand multimedia signals. The UL utilizes the loosely annotated multimedia data on the Web, analyses it in various signal domains, such as text, image, audio and combinations thereof, and builds an association graph called the “Multimedia Brain,” which basically comprises visual signals, audio signals, text phrases and the like that capture a multitude of objects, experiences and their attributes and the links among them that capture similar intent or functional and contextual relationships.

Abstract translation: “通用学习者（UL）”提供了一个统一的框架来了解多媒体信号。 UL利用Web上的松散注释的多媒体数据，在各种信号域（例如文本，图像，音频及其组合）中进行分析，并构建一个称为“多媒体脑”的关联图，其基本上包括视觉信号，音频信号 ，文本短语等，捕获许多对象，经验及其属性，以及捕获类似意图或功能和上下文关系的它们之间的链接。

公开(公告)号：US20130325864A1

公开(公告)日：2013-12-05

申请号：US13894313

申请日：2013-05-14

Applicant: Nima Sarshar ,  Sudhir Kumar Singh ,  Vwani P. Roychowdhury

Inventor： Nima Sarshar ,  Sudhir Kumar Singh ,  Vwani P. Roychowdhury

IPC: G06F17/30

CPC classification number: G06F17/30017 ,  G06F17/30731 ,  G06F17/30743 ,  G06F17/30784

Abstract: The present disclosure describes a method and system called “Universal Learner (UL),” which provides a unified framework to understand multimedia signals. The UL utilizes the loosely annotated multimedia data on the Web, analyses it in various signal domains, such as text, image, audio and combinations thereof, and builds an association graph called the “Multimedia Brain,” which basically comprises visual signals, audio signals, text phrases and the like that capture a multitude of objects, experiences and their attributes and the links among them that capture similar intent or functional and contextual relationships.

Abstract translation: 本公开描述了一种称为“通用学习者（UL）”的方法和系统，其提供了一种统一的框架来理解多媒体信号。 UL利用Web上的松散注释的多媒体数据，在各种信号域（例如文本，图像，音频及其组合）中进行分析，并构建一个称为“多媒体脑”的关联图，其基本上包括视觉信号，音频信号 ，文本短语等，捕获许多对象，经验及其属性，以及捕获类似意图或功能和上下文关系的它们之间的链接。

公开(公告)号：US20120140987A1

公开(公告)日：2012-06-07

申请号：US13312752

申请日：2011-12-06

Applicant: Sudhir Kumar Singh ,  Nima Sarshar ,  Vwani Roychowdhury

Inventor： Sudhir Kumar Singh ,  Nima Sarshar ,  Vwani Roychowdhury

IPC: G06K9/00 ,  G06K9/34

CPC classification number: G06K9/4652 ,  G06K9/48

Abstract: Methods and systems for discovering styles via color and pattern co-occurrence are disclosed. According to one embodiment, a computer-implemented method comprises collecting a set of fashion images, selecting at least one subset within the set of fashion images, the subset comprising at least one image containing a fashion item, and computing a set of segments by segmenting the at least one image into at least one dress segment. Color and pattern representations of the set of segments are computed by using a color analysis method and a pattern analysis method respectively. A graph is created wherein each graph node corresponds to one of a color representation or a pattern representation computed for the set of segments. Weights of edges between nodes of the graph indicate a degree of how the corresponding colors or patterns complement each other in a fashion sense.

Abstract translation: 公开了通过颜色和图案共现发现样式的方法和系统。 根据一个实施例，计算机实现的方法包括收集一组时尚图像，选择该组时间图像内的至少一个子集，该子集包含至少一个包含时尚项目的图像，以及通过分段计算一组片段 所述至少一个图像进入至少一个连衣裙部分。 通过分别使用颜色分析方法和图案分析方法来计算该组段的颜色和图案表示。 创建图形，其中每个图形节点对应于为该组段计算的颜色表示或图案表示之一。 图形的节点之间的边缘的权重表示相应颜色或图案在时尚意义上如何相互补充的程度。