Patents by Inventor Ralf Botchen

Ralf Botchen 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: 9251395
    Abstract: Embodiments generally relate to providing resources to users in a social network system. In one embodiment, a method includes recognizing one or more faces of one or more people in at least one photo, and recognizing at least one object in the at least one photo. The method also includes creating at least one indication of affinity or association with the at least one object, and associating the at least one indication with at least one resource.
    Type: Grant
    Filed: June 5, 2012
    Date of Patent: February 2, 2016
    Assignee: Google Inc.
    Inventor: Ralf Botchen
  • Publication number: 20160004748
    Abstract: A multimedia content search module operating in a server device provides localized pronunciations of names for social networking participants. When a participant signs up for a social networking service, the participant creates a social networking profile by inputting personal information such as name as well as geographic information, i.e., a birthplace, place of residence, etc. The server device then determines a pronunciation of the name by searching multimedia content from the participant's geographic region of origin for an instance of the name. The pronunciation is then stored in the participant's social networking profile and provided in response to a request by a user for pronunciation of the social networking participant's name.
    Type: Application
    Filed: July 1, 2014
    Publication date: January 7, 2016
    Inventor: Ralf Botchen
  • Publication number: 20090278937
    Abstract: An embodiment of the present invention relates to systems and methods for dynamically detecting and visualizing actions and/or events in video data streams. In one embodiment, a method involves dynamically detecting and extracting objects and attributes relating to the objects from a video data stream by using action recognition filtering for attribute detection and time series analysis for relation detection among the extracted objects. In addition, the method may involve dynamically generating a multi-field video visualization along a time axis by depicting the video data stream as a series of frames at a relatively sparse or dense interval, and by continuously rendering the attributes relating to the objects with substantially continuous abstract illustrations.
    Type: Application
    Filed: April 22, 2009
    Publication date: November 12, 2009
    Applicant: Universitat Stuttgart
    Inventors: Ralf Botchen, Daniel Weiskopf, Thomas Ertl, Min Chen