Nokia Corporation

Leland Stanford Junior University

Nokia Technologies Oy

Shang-Hsuan Tsai

Radek Grzeszczuk

David Chen

Gabriel Takacs

Bernd Girod

Vasudev Parameswaran

Vijay Chandrasekhar

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

A digital image is converted to a multiple level image, and multiple scale sets are formed from connected components of the multiple level image such that different ones of the scale sets define different size spatial bins. For each of the multiple scale sets there is generated a count of connected components extracted from the respective scale set for each spatial bin; and adjacent spatial bins which represent connected components are linked. Then the connected components from the different scale sets are merged and text line detection is performed on the merged connected components. In one embodiment each of the scale sets is a histogram, and prior to linking all bins with less than a predetermined count are filtered out; and each histogram is extended such that counts of adjacent horizontal and vertical bins are added (single region bins are filtered out) and the linking is on the extended histograms.

Text detection using multi-layer connected components with histograms

Methods and apparatuses are provided for facilitating detection of text within an image. A method may include calculating an alpha value associated with an image region containing a hypothesized text fragment. The alpha value may be defined as a function of a curved character length distribution, a character width distribution, and an inter-character spacing distribution for the hypothesized text fragment. The method may additionally include calculating a gamma value based at least in part on an interval length distribution determined for the hypothesized text fragment. The method may also include classifying whether the image region is a text-containing region based at least in part on the calculated alpha and gamma values. Corresponding apparatuses are also provided.

Growing community of inventors

Stanford, CA, United States of America

Shang-Hsuan Tsai