Nokia Corporation

Leland Stanford Junior University

Nokia Technologies Oy

Vijay Chandrasekhar

Radek Grzeszczuk

Gabriel Takacs

Bernd Girod

David Chen

Shang-Hsuan Tsai

A method, apparatus and computer program product may be provided for generating a plurality of compressed feature descriptors that can be represented by a relatively small number of bits, thereby facilitating transmission and storage of the feature descriptors. A method, apparatus and computer program product may also be provided for permitting a compressed representation of a feature descriptor to be compared with a plurality of compressed representations of feature descriptors of respective predefined features. By permitting the comparison to be performed utilizing compressed representations of feature descriptors, a respective feature descriptor may be identified without having to first decompress the feature descriptor, thereby potentially increasing the efficiency with which feature descriptors may be identified.

Method and apparatus for representing and identifying feature descriptors utilizing a compressed histogram of gradients

The disclosure relates to a method in which one or more local descriptors relating to an interest point of an image are received. A global descriptor is determined for the image on the basis of the one or more local descriptors; and the global descriptor is compressed. The disclosure also relates to an apparatus comprising a processor and a memory including computer program code, and storage medium having stored thereon a computer executable program code for use by an apparatus.

Method for image processing and an apparatus

Various methods are described for improving the compression of location information during a visual search. One example method may comprise identifying one or more features of a source query image for a visual search. The method may further comprise generating a histogram map comprising one or more histogram bins, wherein the histogram map represents the location of the one or more features of the source query image. Additionally, the method may comprise generating a context for at least one of the one or more histogram bins, wherein the context comprises a first context value based on information related to one or more neighboring bins located a first distance from the respective histogram bin and a second context value based on information related to one or more neighboring bins located a second distance from the respective histogram bin. Similar and related methods, apparatuses, and computer program products are also provided.

Method and apparatus for enhancing visual search

Various methods for tracking and recognition with rotation invariant feature descriptors are provided. One example method includes generating an image pyramid of an image frame, detecting a plurality of interest points within the image pyramid, and extracting feature descriptors for each respective interest point. According to some example embodiments, the feature descriptors are rotation invariant. Further, the example method may also include tracking movement by matching the feature descriptors to feature descriptors of a previous frame and performing recognition of an object within the image frame based on the feature descriptors. Related example methods and example apparatuses are also provided.

Growing community of inventors

Stanford, CA, United States of America

Vijay Chandrasekhar