Patents by Inventor Lior Shapira

Lior Shapira has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 9025208
    Abstract: A method comprises computing an activity map for an input image. The activity map indicates an amount of variable spatial activity in the input image. The method further comprises producing an output image based on the activity map, and controlling a printhead to cause the output image to be printed. The output image contains a plurality of color pixels and each such color pixel is represented by at least one of cyan (C), magenta (M), yellow (Y), and black (K) in a color space.
    Type: Grant
    Filed: September 29, 2011
    Date of Patent: May 5, 2015
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Pavel Kisilev, Renato Keshet, Michal Aharon, Carl Staelin, Yohanan Sivan, Gregory Braverman, Lior Shapira, Boris Oicherman
  • Publication number: 20140340697
    Abstract: A method comprises computing an activity map for an input image. The activity map indicates an amount of variable spatial activity in the input image. The method further comprises producing an output image based on the activity map, and controlling a printhead to cause the output image to be printed. The output image contains a plurality of color pixels and each such color pixel is represented by at least one of cyan (C), magenta (M), yellow (Y), and black (K) in a color space.
    Type: Application
    Filed: September 29, 2011
    Publication date: November 20, 2014
    Inventors: Pavel Kisilev, Renato Keshet, Michal Aharon, Carl Staelin, Yohanan Sivan, Gregory Braverman, Lior Shapira, Boris Oicherman
  • Publication number: 20140214803
    Abstract: According to an example, data pertaining to a plurality of entities recommended for a user may be accessed, in which the data identifies relationships between the plurality of entities with respect to each other. In addition, a relevance map for the user that displays graphical representations of the plurality of entities over a substantially optimized use of space available for display of the graphical representations in the relevance map may be generated, in which the graphical representations of the plurality of entities are arranged in the relevance map according to a predetermined arrangement scheme.
    Type: Application
    Filed: January 31, 2013
    Publication date: July 31, 2014
    Applicant: Hewlett-Packard Development Company, L.P.
    Inventors: Zachi Karni, Lior Shapira
  • Patent number: 8363961
    Abstract: A clustering method for high-dimensionality data includes identifying a set of nearest neighbors of a point in a multidimensional space and determining the centroid of the set of nearest neighbors, where the centroid is a member of the set of nearest neighbors. The method is then repeated using the neighbors identified around the computed centroid. In one embodiment, the method may terminate when the computed centroid becomes stationary over successive iterations. The resulting centroid may be returned as a mode of the data set. Points of the data set having common modes may be assigned to the same cluster.
    Type: Grant
    Filed: February 27, 2009
    Date of Patent: January 29, 2013
    Assignee: Adobe Systems Incorporated
    Inventors: Shmuel Avidan, Lior Shapira