Ditto Labs, Inc.

Slyce Acquisition Inc.

Apple Inc.

Kdl Scan Designs LLC

Chemtron Research LLC

Ita Software, Inc.

Fotomedia Technologies, LLC

Ipac Acquisition Subsidiary I, LLC

Dotted Pair, Inc.

Yobaby Productions, LLC

Neil Lawrence Mayle

Philip B Romanik

David L Rose

Oliver W Steele

Steven Henry Strassmann

Andrew L Shalit

Jeremy A Jones

Paige K Parsons

Carl G DeMarcken

David M Rose

Derek R White

Jeremy Wertheimer

William W St Clair, Jr

A computer-implemented method for determining whether a first image contains at least a portion of a second image includes: determining a first set of feature points associated with the first image; removing from said first set of feature points at least some feature points in the first set that correspond to one or more textures in the first image; and then attempting to match feature points in said first set of feature points with feature points in a second set of feature points associated with said second image to determine whether said first image contains at least a portion of said second image.

Systems, methods, and devices for image matching and object recognition in images using textures

An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points from the template image are then matched to the feature points in the test image. An additional matching technique boosts the number of points that match each other. The additional points improve the match quality and help discriminate true from false positive matches.

Systems, methods, and devices for image matching and object recognition in images

An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points of a template image are determined under various transformations and used to determine a set of composite feature points for each template image. The composite feature points are used to determine if the template image is present in a test image.

Systems, methods, and devices for image matching and object recognition in images using feature point optimization

An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Classifiers are trained for multiple template images and the classifiers are used to evaluate a match between a template image and a test image.

Systems, methods, and devices for image matching and object recognition in images using template image classifiers

A computer-implemented method for determining whether a first image contains at least a portion of a second image, includes: dividing set first image into multiple image regions; for a particular image region of the multiple image regions, determining a particular set of feature points associated with the particular image region; and attempting to match feature points in the particular set of feature points with second feature points associated with the second image to determine whether the particular image region of the first image contains at least a portion of the second image, wherein the first image is considered to contain at least a portion of a second image when the particular image region of the first image contains at least a portion of the second image.

Systems, methods, and devices for image matching and object recognition in images using image regions

Storing image data and related information for sharing via a URL includes receiving image data uploaded from a client computer via a user interface and receiving, separate from the receiving of the image data, related information uploaded via the user interface. The uploaded image data and related information are stored. A uniform resource locator (URL) configured for retrieving a display that includes the stored image data and the related information is generated. The URL is provided in a message.

Method and system for creating messages including image information

An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points of a template image are determined under various transformations and used to determine a set of composite feature points for each template image. The composite feature points are used to determine if the template image is present in a test image. A covering set for a template image is used to optimize processing of test images.

Systems, methods, and devices for image matching and object recognition in images using minimal feature points

The present invention comprises a system and method for presenting large numbers of items on a display screen. According to one aspect of the present invention, information is harvested from a plurality of sites and over a plurality of times and aggregated into a single item set. According to another aspect of the present invention, this information is supplemented by data derived from sorting and classification tasks performed by humans. According to another aspect of present invention, this information is used to derive similarities between items and to derive a hierarchical classification of items into a hierarchical set of categories. According to another aspect of the present invention, one or more series of catalog displays are created which display these items arranged by different criteria and at different scales.

System and method for interacting with item catalogs

A system for creation of an image display such as an electronic postcard. The system interacts with a user to create and configure the display. The user provides the image data to the system and optionally specifies a message and addressee for the image display. The system creates the display, comprising a mixture of image and textual data, and sends a notification including identification of the display to a specified addressee, for instance, the recipient of the postcard. The addressee can then request receipt of the display from the system via the identification information sent by the system.

Electronic image processing system

System for creating messages including image information

An airline travel planning system is described. The system includes a server computer executing a server process including a search process to search for set of pricing solutions in accordance with at least one destination and at least one origin. The search process represents the set of pricing solutions in the form of a directed acyclic graph. The system also includes a client computer executing a client process on the set of pricing solutions. The client process has a manipulation process that manipulates the set of pricing solutions in response to user preferences. Several processes are described including a process responsive to user preferences and to set of pricing solutions that provides pricing solutions sorted by said user preference, a process that sorts set of pricing solutions to produce a subset of said set of pricing solutions in accordance with user specified preferences, and a process that prunes from the directed acyclic graph nodes that are no longer contained within the subset of set of pricing solutions.

Growing community of inventors

Cambridge, MA, United States of America

Neil Lawrence Mayle