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Immersive videoconference method and system

  • US 9,432,625 B2
  • Filed: 09/03/2013
  • Issued: 08/30/2016
  • Est. Priority Date: 09/28/2012
  • Status: Active Grant
First Claim
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1. An immersive videoconference method allowing multiple participants in different locations to remotely interact with each other through a telecommunication network architecture, wherein the method comprises at the location of a given participant:

  • capturing video images of the participant by a pair of video cameras;

    detecting, tracking and determining size and position related parameters of the participant in the video images;

    generating a single elementary video stream related to the participant;

    associating a room identifier to the elementary video stream, the room identifier being uniquely associated to the given participant;

    sending the elementary video stream, the size and position related parameters and the room identifier to a centralized entity;

    repeating the above for each participant at each different location;

    wherein the method further comprises at the centralized entity;

    creating a virtual room by combining the elementary video streams for all the participants;

    staging the elementary video streams of all the participants in said virtual room and computing a scene specification associated to the room identifier of each participant based on the size and position related parameters of all the participants; and

    generating, for each participant, a single composite video stream of the virtual room that displays the 2D video of the other participants sized and positioned as if the participants were in the same virtual room based on the scene specification and a combination of the elementary video streams of the other participants;

    wherein detecting and tracking the participant in the video images comprises detecting and tracking a body of the participant without a background from the video images based on a histograms of oriented gradients HOG for the purpose of human detection algorithm and wherein results of said HOG algorithm are further filtered by a depth mapping matrix computed from a pair of video signals of the participant obtained from the pair of video cameras.

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