Nokia Corporation

Nokia Technologies Oy

Abukai, Inc.

Philipp Schloter

Matthias Jacob

Jiang Gao

Adetokunbo Bamidele

Christophe Marle

Pasi Ruottinen

Systems and methods of processing images of expense receipts are provided. Images of expense receipts are received from an image capture device and an image filter is used to process the images. The filtered images are displayed to the user in a real-time preview portion of a user interface.

Method and apparatus for processing images of receipts

An apparatus for providing standard real world to virtual world links may include a processing element configured to receive indications of an image including an object, determine whether the object corresponds to a particular object having a predefined association based on a recognition of the object, and execute a function corresponding to the predefined association in response to the object corresponding to the particular object.

Method, apparatus and computer program product for providing standard real world to virtual world links

In one embodiment, an indication of information desired by a user is received, and a list of candidates for the desired information is provided for presentation on a mobile device of the user.

Scalable visual search system simplifying access to network and device functionality

Systems and methods of processing expense receipts are provided. Images of expense receipts are received from a user device. The images are processed to obtain receipt information. A list of user expenses is generated based on the receipt information.

Method and apparatus for processing receipts

A method, apparatus and computer-readable storage medium are provided for providing a list of candidates that may provide information requested by a user. In this regard, an indication of information desired by a user may be received. The indication of the desired information may include media content associated with one or more objects in a real world and/or meta-information providing one or more characteristics associated with the media content, a mobile device and/or the user. A list of candidates for the desired information may then be presented to the user, such as upon a mobile device of the user. In response to an indication of a selection of the user from among the list of candidates or otherwise, an association may be created between the selection of the user and the indication of information desired by the user.

Various methods for visual search stability are provided. One example method includes determining a plurality of image matching distances for a captured object depicted in a video frame, where each image matching distance being indicative of a quality of a match between the captured object and a respective object match result. The example method further includes including, in a candidate pool, an indication of the object match results having image matching distances in a candidate region, discarding the object match results having image matching distances in a non-candidate region, and analyzing the object match results with image matching distances in a potential candidate region to include, in the candidate pool, indications of select object match results with image matching distances in the potential candidate region. Similar and related example methods and example apparatuses are also provided.

Method and apparatus for visual search stability

A method includes modifying values of image data of a first image of an object, the first image taken by a user using a user equipment. The modifying is performed to map one or more color characteristics of one or more color components of the user equipment to corresponding one or more color characteristics for the one or more color components of a reference device. The modifying creates a modified image. On the user equipment, comparisons are performed between the modified image and a number of second images of objects taken by the reference device. Apparatus and program products are also disclosed. Additionally, a user interface is disclosed that provides for training a device model that is used during the mapping.

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San Francisco, CA, United States of America

Philipp Schloter