Baidu USA LLC

Shuang Wu

Jingao Wang

Fan Zhu

Guang Yu Yang

Yifei Jiang

Dong Li

Qi Kong

Shaoshan Liu

Liyun Li

James P Peng

Youling Zou

Jiangtao Hu

Xiang Yu

Li Zhuang

Lei Ma

According to one embodiment, a first set of features is received, where each of the features in the first set being associated with a predetermined category. A bloom filter is applied to the first set of features to generate a second set of features. A neural network model is trained by applying the second set of features to a first layer of nodes of the neural network model to generate an output, the neural network model including a plurality of layers of nodes coupled to each other via a connection. The output of the neural network model is compared with a target value associated with the predetermined category to determine whether the neural network model satisfies a predetermined condition.

Method and system for training and neural network models for large number of discrete features for information rertieval

According to one embodiment, in response to a search query received from a client, a search is performed in a content database to identify a list of one or more content items based on one or more keywords of the search query. A first search is performed in an image store to identify a first set of one or more images using a first image searching method. A second search is performed in the image store to identify a second set of one or more images using a second image searching method that is different than the first image searching method. A search result is transmitted to the client, the search result having at least a portion of the content items to the client. Each content item is associated with one of the images selected from the first set of images or the second set of images.

Method and system for multi-dimensional image matching with content in response to a search query

In one embodiment, an image analysis is performed on an image captured using a camera mounted on an autonomous vehicle, the image representing an exterior environment of an autonomous vehicle. Localization information surrounding the autonomous vehicle is obtained at a point in time. A perception of an audience external to the autonomous vehicle is determined based on the image analysis and the localization information. One or more content items are received from one or more content servers over a network in response to the perception of the audience. A first content item selected from the one or more content items is displayed on a display device mounted on an exterior surface of the autonomous vehicle.

System and method for providing content in autonomous vehicles based on perception dynamically determined at real-time

In one embodiment, a first image of a physical object external to an autonomous vehicle is received, where the first image is captured by an image sensor attached to the autonomous vehicle. An image recognition is performed on the first image to derive one or more keywords related to the physical object. A list of one or more content items are identified based on the one or more keywords. A first content item selected from the list of content items is augmented onto the first image to generate a second image. The second image is displayed on a display device within the autonomous vehicle.

System and method for presenting media contents in autonomous vehicles

According to one embodiment, a content analysis module receives content information of a content item, the content information including a plurality of first keywords associated with the content item. The content analysis module performs an analysis on the first keywords associated with the content item. A keyword classifier categories the first keywords into a plurality of categories based on the analysis, each category including one or more second keywords selected from the first keywords. For each of the categories, one or more images are identified based on the corresponding second keywords. A category/image mapping module generates a category/image mapping table for the content item to map each of the categories to the corresponding identified images. The category/image mapping table is utilized to match the content item to one of the images based on a subsequent category determined in response to a search query.

Method for matching images with content based on representations of keywords associated with the content in response to a search query

According to one embodiment, in response to a search query received from a client device for searching content, one or more first keywords are determined from the search query. A lookup operation is performed in an image-to-keyword (image/keyword) mapping table based on the first keywords. The image/keyword mapping table includes a plurality of entries, each entry mapping an image identifier (ID) identifying an image to one or more second keywords. For each of images identified in the image/keyword mapping table, a matching degree is determined between the first keywords and the second keywords. A ranking process is performed based on matching degrees on a plurality of images identified in the image/keyword mapping table whose second keywords match at least a portion of the first keywords.

Method for dynamically matching images with content items based on keywords in response to search queries

According to one embodiment, a first keyword-to-image (keyword/image) mapping table is provided. The first keyword mapping table includes a number of entries, each entry mapping a keyword to one or more image identifiers (IDs) identifying one or more images. For each of the keywords of the first keyword/image mapping table, an analysis is performed on the keyword to determine one or more related keywords that are related to the keyword. One or more additional entries corresponding to the one or more related keywords are generated to be incorporated into the first keyword/image mapping table to generate a second keyword/image mapping table. The second keyword/image mapping table is utilized to associated a particular image to a particular content item related to a particular keyword.

Method for categorizing images to be associated with content items based on keywords of search queries

According to one embodiment, in response to a search query received at a server from a client device for searching content, a search is performed in a content database or via a content server based on one or more search terms of the search query to identify a first list of one or more content items. A search is performed in an image store based on the one or more search terms to identify a list of one or more images. Each content item of the first list is associated with one of the images. A second list of one or more content items having at least a portion of the images integrated therein is generated. The second list of content items is transmitted to the client device, such that each content item of the first list is presented with one of the images.

Method for selecting images for matching with content based on metadata of images and content in real-time in response to search queries

In one embodiment, location and route information of a route associated with the autonomous vehicle is obtained, where the route includes a starting location and a destination. Real-time traffic information of the route is obtained based on the location and route information. A driving mode of the autonomous vehicle is determined based on the location and route information and the real-time traffic information. A content item is selected from a list of content items obtained from a content database based on the determined driving mode. The selected content item is displayed in a display device within the autonomous vehicle.

Growing community of inventors

Fremont, CA, United States of America

Shuang Wu