Abstract: The present invention is related to an image stitching method. It is further related to an image stitching device and to a computer readable medium carrying instructions for performing such method. The method according to the invention includes determining a pixel value of a pixel at an interpolation position in the region to be stitched using pixel values of corresponding pixels in a plurality of sub-images. According to the invention, the interpolation position corresponds to a weighted sum of positions of the corresponding pixels. The weighting factor for the position of a corresponding pixel in a given sub-image depends on a relative distance of at said interpolation position to a border of the region to be stitched associated with that sub-image.

Abstract: The present application relates to systems and computer-implemented methods for calculating a suggested market variable associated with an auction of an online advertisement realization opportunity. In some implementations, an optimization procedure may be operated, wherein the optimization procedure may comprise sending an initial market variable associated with one or more auctions to bidding agents; receiving from each of the bidding agents a response market variable associated with the initial market variable; determining according to an auction bidding rule a winning market variable from the response market variables; and substituting the initial market variable with the wining market variable. The optimization procedure may be operated repeatedly until the winning market variable stabilizes. Then the stabilized market variable may be sent to an advertiser as the suggested market variable.

Abstract: The present application relates to systems and computer-implemented methods for calculating a suggested reserve price associated with an opportunity to realize an online advertisement. In some implementations, a database of historical online advertisement auctions is established; historical online advertisement auctions from the database of historical online advertisement auctions that are associated with a feature are clustered to form a cluster; a reserve price associated with the cluster of historical online advertisement auctions is calculated to generate a desired revenue; and the reserve price is stored as a suggested reserve price for the opportunity to realize the online advertisement that is associated with the feature.