Canon Kabushiki Kaisha

Dariusz T Dusberger

Bradley Scott Denney

Don Hideyasu Matsubayashi

Hung Khei Huang

Craig Mazzagatte

Kevin F Piazza

Yang Yang

Royce Earle Slick

Neil Y Iwamoto

Juwei Lu

Quentin Dietz

Kazuyuki Saito

Edward A Smith

Manoj Mathew

Yeongtau Louis Tsao

Changjian Zou

Ahmad Abiri

Jeremy Serfling

Liyan Zhang

Prateek Jain

Le An

Ako Kobayashi

An information processing apparatus to select a token from a document to describe a field of interest includes an obtaining unit, a determining unit, a clustering unit, and a selecting unit. The obtaining unit obtains a list of tokens output from extractors that received the document as an input. Each output token has an extractor score assigned to by an extractor. The determining unit determines, as a word frequency value, a frequency of each word in the list of tokens, determines a token score for each token in the list of tokens, and determines a distance between each token in the list of tokens. The clustering unit clusters each token in the list of tokens into a plurality of groups. The selecting unit selects a token with a group of the plurality of groups to describe the field of interest in the document.

Devices, systems, and methods for resolving named entities

Retrieval of images of objects from a large-scale database of object images, based on a query image. The database may, for example, contain images of objects such as faces, vehicles, people and luggage. Semantic attributes such as doors or windows in the case of vehicles are used as high level semantic cues to determine identities of objects in the images. Salient visual characteristics of the images are labeled with attribute information, and a transformation is learned so as to transform the labeled visual characteristics into a discrimination vector that discriminates between the labels. A similarity metric is learned using the discrimination vectors, such that different images depicting the same object are determined to be close while those having different objects are determined to be far apart. Candidates are retrieved based on a query image, and a re-ranking step may be applied to improve results. Validation experiments are described.

Scalable attribute-driven image retrieval and re-ranking

Systems, devices, and methods for contextual management extract context information and content information from a collection of stored digital content items; generate an index of the extracted context information and content information; store the indexed context information and content information; receive a query from a computing device, wherein the query is associated with a user; determine a context of the user; determine a context of a user activity; determine contents of the query; generate a recommendation in response to the query based on the context of the user, the context of the user activity, and the contents of the query; and return the recommendation to the computing device.

Devices, systems, and methods for context management

Systems and methods for learning a high-level visual vocabulary generate inter-visual-word relationships between a plurality of visual words based on visual word-label relationships, map the visual words to a vector space based on the inter-visual word relationships, and generate high-level visual words in the vector space.

Systems and methods for generating a high-level visual vocabulary

Systems and methods for displaying an object determine a display time of a first object, wherein the display time of the first object is determined based on one or more attributes of objects in a collection of objects, generate a display that includes at least part of the first object in a first portion of the display for the display time of the first object, wherein the display is configured for rendering on a display device, and remove the first object from the first portion of the display after the display time of the first object has elapsed.

Timing of displayed objects

Systems and methods for generating visual words define initial inter-visual word relationships between a plurality of visual words; define visual word-image relationships between the plurality of visual words and a plurality of images; define inter-image relationships between the plurality of images; generate revised inter-visual word relationships in a vector space based on the initial inter-visual word relationships, the inter-image relationships, and the visual word-image relationships; and generate higher-level visual words in the vector space based on the revised inter-visual word relationships.

Systems and methods for feature fusion

Systems and methods for measuring similarity between a set of clusters and a set of object labels, wherein at least two of the object labels are related, receive a first set of clusters, wherein the first set of clusters was formed by clustering objects in a set of objects into clusters of the first set of clusters according to a clustering procedure; and calculate a similarity index between the first set of clusters and a set of object labels based at least in part on a relationship between two or more object labels in the set of object labels.

Systems and methods for cluster analysis with relational truth

Systems and methods for scoring similarity count a number of matching visual words between a query image and a candidate image, generate an image similarity score for the query image and the candidate image based at least in part on the number of matching visual words, and generate a normalized image similarity score based at least in part on the image similarity score and one or more of a complexity of the query image and a complexity of the candidate image.

Systems and methods for comparing images

A method for establishing communication between a plurality of devices, including obtaining communication protocols that the plurality of devices support, determining which of the communication protocols are common to each the plurality of devices, determining operational parameters that are associated with each of the common communication protocols, indicating which of the common communication protocols and associated operational parameters can be used to establish communication between the plurality of devices, determining whether the plurality of devices can communicate with each other using the common communication protocols, and establishing communication between the plurality of devices using at least one of the common communication protocols.

Establishing communication between devices

The authentication of a device with a server over a network includes authenticating, by the device, the server so as to establish a secure connection with the server. The device communicates identification information of the device to the server, wherein the identification information uniquely identifies the device to the server. The server determines the credibility of the device using the identification information communicated by the device. In a case where the server determines that the device is credible, the server creates a first authentication token for the device, stores the first authentication token, and transfers the first authentication token to the device using the secure connection, and the device stores the first authentication token. The server authenticates the device using the first authentication token.

Authenticating a device with a server over a network

A method and system for registering a card that is used to enable configurations of an application and/or a device. The method and system includes initializing into an administrative card setup mode, providing information for at least one card to be registered, storing the information for the at least one card to be registered, and exiting the administrative card setup mode.

System for registering and using administrative cards to enable configuration of an application and device

A method for establishing and maintaining a connection by a client to a server within a network includes creating a socket for connecting to the server, based on authentication information associated with the client, and connecting to the server using the socket. In addition, the method includes saving the authentication information associated the client. The method further includes in a case where subsequent connection to the server is requested by the client, reconnecting to the server via the socket, based on the saved authentication information. An apparatus for establishing and maintaining a connection by a client to a server within a network is also provided.

Growing community of inventors

Irvine, CA, United States of America

Dariusz T Dusberger