Dynamic Presentation of Targeted Information in a Mixed Media Reality Recognition System

• US 20130218886A1
• Filed: 03/07/2013
• Published: 08/22/2013
• Est. Priority Date: 01/06/2006
• Status: Active Grant

• Current Assignee: Ricoh Company Limited
• Original Assignee: Ricoh Company Limited
• Inventors: Graham, Jamey, Hull, Jonathan J.
• Granted Patent: US 9,087,104 B2
• Time in Patent Office: Days
• US Class Current: 707/728
• CPC Class Codes: G06F 16/2455 Query execution
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/3326 using relevance feedback from the user, e.g. relevance feedback on documents, documents sets, document terms or passages
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70
• CPC Class Codes: G06F 16/434 using image data, e.g. images, photos, pictures taken by a user
• CPC Class Codes: G06F 16/437 Administration of user profiles, e.g. generation, initialisation, adaptation, distribution
• CPC Class Codes: G06F 16/583 using metadata automatically derived from the content
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/955 using information identifiers, e.g. uniform resource locators [URL]
• CPC Class Codes: G06F 18/217 Validation; Performance evaluation; Active pattern learning techniques
• CPC Class Codes: G06F 18/254 of classification results, e.g. of results related to same input data
• CPC Class Codes: G06F 18/285 Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: G06V 30/19113 Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system
• CPC Class Codes: G06V 30/1916 Validation; Performance evaluation
• CPC Class Codes: G06V 30/1918 Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
• CPC Class Codes: G06V 30/414 : Extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics or text

Abstract

A context-aware targeted information delivery system comprises a mobile device, an MMR matching unit, a plurality of databases for user profiles, user context and advertising information, a plurality of comparison engines and a plurality of weight adjusters. The mobile device is coupled to deliver an image patch to the MMR matching unit which in turn performs recognition to produce recognize text. The recognized text is provided to a first and second comparison engines to produce relevant topics and relevant ads. The relevant topics and relevant ads are adjusted with information from a user context database including information such as location, date, time, and other information from a user profile. The third comparison engine compares the relevant topics and relevant ads to produce a set of final ads that are most related to the topics of interest for the user and delivered for display on to the mobile device.

Claims

1. A computer-implemented method for retrieving and generating targeted information, the method comprising:

receiving an input image from a user device;

performing, with one or more processors, a visual search using the input image to produce recognized text;

receiving a history of produced recognized text from previous visual searches by a user of the user device;

generating, with the one or more computers, a list of relevant topics based on the recognized text and the history of produced recognized text;

receiving targeted information;

generating a list of relevant information based on the recognized text and the targeted information;

generating a final list of targeted information by comparing the list of relevant topics to the list of relevant information.