公开(公告)号：US20150256633A1

公开(公告)日：2015-09-10

申请号：US14198503

申请日：2014-03-05

Applicant: Ashootosh Chand ,  Bharathi Shekar ,  Yash Kotak ,  Ankit Suchanti

Inventor： Ashootosh Chand ,  Bharathi Shekar ,  Yash Kotak ,  Ankit Suchanti

IPC: H04L29/08 ,  G06K9/00

CPC classification number: G06K9/00536 ,  H04L65/4038 ,  H04L65/605 ,  H04N21/251 ,  H04N21/25891 ,  H04N21/4788 ,  H04N21/8153

Abstract: The disclosure includes a system and method for identifying discussion groups related to a video that a user would find to be interesting. A recognition application receives a captured image from a user, identifies an indexed image that matches the captured image, identifies a timestamp for the indexed image, determines a segment in the video that encompasses the timestamp, determines whether the user is interested in the segment of the video based on the timestamp and a user profile and provides suggested discussion groups to the user that are ranked based on what the user is interested in.

Abstract translation: 该公开内容包括用于识别与视频相关的讨论组的系统和方法，用户将会发现它是有趣的。 识别应用程序从用户接收捕获的图像，识别与捕获图像匹配的索引图像，识别索引图像的时间戳，确定视频中包含时间戳的片段，确定用户是否对 基于时间戳的视频和用户简档，并且基于用户感兴趣的用户排名的用户提供建议的讨论组。

公开(公告)号：US20150254711A1

公开(公告)日：2015-09-10

申请号：US14198496

申请日：2014-03-05

Applicant: Ashootosh Chand ,  Bharathi Shekar ,  Ankit Suchanti ,  Yash Kotak

Inventor： Ashootosh Chand ,  Bharathi Shekar ,  Ankit Suchanti ,  Yash Kotak

IPC: G06Q30/02 ,  G06K9/62 ,  G06K9/46

CPC classification number: G06Q30/0255 ,  G06Q30/0269

Abstract: The disclosure includes a system and method for recommending an advertising campaign based on which channels are popular. A recognition application receives captured images from user devices, the captured images including information about products, identify indexed images that match the captured images, identify metadata about the captured images including information associated with products in the captured images, determine popularity of each channel based on a number of interactions that users have had with channels during a time period based on the metadata, receive an advertisement and provide on the one or more channels the advertisement based on the popularity of each channel.

Abstract translation: 本公开包括基于哪些频道是流行的来推荐广告活动的系统和方法。 识别应用程序从用户设备接收捕获的图像，所捕获的图像包括关于产品的信息，识别与所捕获的图像匹配的索引图像，识别包括与所捕获图像中的产品相关联的信息的捕获图像的元数据，基于 基于元数据，在一段时间内用户对频道的多次交互，接收广告，并且基于每个频道的流行度在一个或多个频道上提供广告。

公开(公告)号：US20150100427A1

公开(公告)日：2015-04-09

申请号：US14049648

申请日：2013-10-09

Applicant: Ashootosh Chand ,  Bharathi Shekar

Inventor： Ashootosh Chand ,  Bharathi Shekar

IPC: G06Q30/02 ,  G06F17/30

CPC classification number: G06Q30/0269 ,  G06F17/30256 ,  G06F17/30265 ,  G06F17/30277 ,  G06F17/30864 ,  G06Q30/0267

Abstract: The disclosure includes a system and method for identifying advertising content and providing a user of a mobile device with a channel related to the advertising content. A recognition application receives advertising content comprising a series of frames, identifies images corresponding to the frames within the advertising content, identifies a first set of feature points from a first image of the advertising content, determines whether the first set of feature points matches a second set of feature points stored in a database, and in response to determining that the first set of feature points fails to match the second set of feature points, identifies the first image as being unique, indexes the first image and the first set of feature points and associates the first image with a channel.

Abstract translation: 本公开包括用于识别广告内容并向移动设备的用户提供与广告内容相关的频道的系统和方法。 识别应用接收包括一系列帧的广告内容，识别与广告内容内的帧相对应的图像，从广告内容的第一图像识别第一组特征点，确定第一组特征点是否与第二组匹配 存储在数据库中的特征点集合，并且响应于确定第一组特征点不匹配第二组特征点，将第一图像识别为唯一的，对第一图像和第一组特征点进行索引 并将第一个图像与频道相关联。

公开(公告)号：US20140195344A1

公开(公告)日：2014-07-10

申请号：US13889972

申请日：2013-05-08

Applicant: Ashootosh Chand ,  Adit Gupta ,  Tarkeshwar Singh

Inventor： Ashootosh Chand ,  Adit Gupta ,  Tarkeshwar Singh

IPC: G06Q30/02

CPC classification number: G06Q30/0261 ,  G06Q30/0254 ,  G06Q30/0259 ,  G06Q30/0267

Abstract: The disclosure includes a system and method for performing actions using visual search. The system includes a controller, an image recognition module and a polling engine. The controller receives data describing an image that is associated with a poll from a first user. The image recognition module identifies the image as being an option that is selected by the first user for the poll. The polling engine associates the option selected by the first user and a first set of demographic information describing the first user with the poll. The polling engine provides the first user with polling data that describes one or more voting results for the poll. The polling data includes a second set of demographic information associated with one or more second users that provided an answer to the poll.

Abstract translation: 本公开包括用于使用视觉搜索来执行动作的系统和方法。 该系统包括控制器，图像识别模块和轮询引擎。 控制器接收描述与来自第一用户的轮询相关联的图像的数据。 图像识别模块将图像识别为由第一用户为轮询选择的选项。 轮询引擎将由第一用户选择的选项和描述第一用户的第一组人口统计信息与轮询相关联。 轮询引擎向第一用户提供描述投票的一个或多个投票结果的轮询数据。 轮询数据包括与提供对轮询的答案的一个或多个第二用户相关联的第二组人口统计信息。

公开(公告)号：US20140025490A1

公开(公告)日：2014-01-23

申请号：US13550703

申请日：2012-07-17

Applicant: Bharathi Shekar ,  Ashootosh Chand ,  Arnab Nandi

Inventor： Bharathi Shekar ,  Ashootosh Chand ,  Arnab Nandi

IPC: G06Q30/02

CPC classification number: G06Q30/0255 ,  G06F16/24578 ,  G06F16/29 ,  G06F16/9535 ,  G06Q30/0261 ,  G06Q50/01 ,  H04L65/403

Abstract: Techniques are described for providing automated recommendations of real-world locations, such as businesses, for users to visit based at least in part on historical location-preference information. The historical location-preference information used by the recommendation system may include the historical location-preference information of the person that requests the recommendation, other people explicitly identified as participants by the requestor, and/or other people implicitly determined to be participants. The historical location-preference information may be explicit, such as “check-ins” or reviews, or implicit. Implicit participants may be identified in a variety of ways, including social network relationships and the context in which the recommendation request is submitted.

Abstract translation: 描述了技术，用于至少部分地基于历史位置偏好信息来提供真实世界地点（例如企业）的自动建议，供用户访问。 推荐系统使用的历史位置偏好信息可以包括请求推荐的人的历史位置偏好信息，被请求者明确地标识为参与者的其他人和/或隐含地被确定为参与者的其他人。 历史位置偏好信息可能是明确的，例如“签入”或评论，或隐含的。 隐性参与者可以以各种方式被识别，包括社交网络关系以及推荐请求的上下文。