Abstract: It is presented a method for encoding a video frame of a piece of video content. The method is performed in an encoder device and comprises the steps of: dividing the video frame into a set of non-overlapping regions, wherein the set comprises at least one region; assigning each region, in the set of regions, to a separate processing unit; encoding, in each processing unit, picture data of the respective region; collecting progress data from each processing unit, the progress data indicating progress of the encoding of the respective region; and dividing a particular region into a plurality of smaller regions and assigning each smaller region to a separate processing unit, when the progress data indicates that progress of encoding the particular region is insufficient.

Abstract: A method of generating a depth cue for three dimensional video content is disclosed. The method comprises the steps of (a) detecting three dimensional video content that will appear in observer space when displayed (110) (b) identifying a reference projection parameter (120) (c) estimating a location of a shadow that would be generated by the detected content as a consequence of a light source emitting light according to the reference projection parameter (130) and (d) projecting light content imitating a shadow to the estimated location to coincide with display of the three dimensional video content (140). Also disclosed are a computer program product for carrying out a method of generating a depth cue for three dimensional video content and an apparatus (800) for generating a depth cue for three dimensional video content.

Abstract: The present disclosure relates to a method (40) performed in a system (10) for handling a media stream relating to an online game provided by a game cloud system (20). The system (10) comprises at least one node (11, 12). The method (40) comprises transmitting (41), to the game cloud system (20), a message comprising data relating to at least one virtual camera, and receiving (42), from the game cloud system (20), at least one first media stream relating to the online game as captured by the at least one virtual camera. The disclosure also relates to a corresponding system, computer programs and computer program products, and also to method in a game engine and a game engine.

Abstract: According to embodiments of the present invention, sound localization is used to determine the active speaker in a video conference. A network element uses the localization to determine which regions of the image that should be preserved and retargets the video accordingly. By providing a retargeted video where the speaker is more visible, a better user experience is achieved.

Abstract: It is presented a method for encoding a video frame of a piece of video content. The method is performed in an encoder device and comprises the steps of: dividing the video frame into a set of non-overlapping regions, wherein the set comprises at least one region; assigning each region, in the set of regions, to a separate processing unit; encoding, in each processing unit, picture data of the respective region; collecting progress data from each processing unit, the progress data indicating progress of the encoding of the respective region; and dividing a particular region into a plurality of smaller regions and assigning each smaller region to a separate processing unit, when the progress data indicates that progress of encoding the particular region is insufficient.

Abstract: A method for determining a depth of a target object in an environment is disclosed. The method comprises sensing a depth of objects within the environment with a depth sensing apparatus (1 10), identifying a disocclusion gap caused by the target object (120), detecting a position of edge contours of the disocclusion gap (1 30), and calculating a depth of the target object from the position of the disocclusion gap edge contours and a position of the depth sensing apparatus (140). Also disclosed are a computer program product for carrying out a method for determining a depth of a target object in an environment and an apparatus (300) for determining a depth of a target object in an environment.

Abstract: According to embodiments of the present invention, sound localization is used to determine the active speaker in a video conference. A network element uses the localization to determine which regions of the image that should be preserved and retargets the video accordingly. By providing a retargeted video where the speaker is more visible, a better user experience is achieved.

Abstract: A method, an electronic device, a computer program and a computer program product relate to 3D image reconstruction. A depth image part (7) of a 3D image representation is acquired. The depth image part represents depth values of the 3D image. An area (9, 10) in the depth image part is determined. The area represents missing depth values in the depth image part. At least one first line (Pr) in a first neighbourhood (Nr) of the area is estimated by a first gradient of the depth values being determined in the first neighbourhood and a direction of the at least one first line being determined in accordance with the first gradient. Depth values of the area based on the at least one first line are estimated and the area is filled with the estimated depth values. The 3D image is thereby reconstructed.

Abstract: A method for determining a depth of a target object in an environment is disclosed. The method comprises sensing a depth of objects within the environment with a depth sensing apparatus (1 10), identifying a disocclusion gap caused by the target object (120), detecting a position depth sensing apparatus of edge contours of the disocclusion gap (1 30), and calculating a depth of the target object from the position of the disocclusion gap edge contours and a position of the depth sensing apparatus (140). Also disclosed are a computer program product for carrying out a method for determining a depth of a target object in an environment and an apparatus (300) for determining a depth of a target object in an environment.

Abstract: There is provided a 3D video warning module comprising an input, a processor, and an output. The input is for receiving: capture information from a 3D capture device, and display information from at least one 3D display device, wherein the 3D display device is for displaying 3D video captured by the 3D capture device. The processor is for analyzing the capture information and the display information, the processor arranged to identify at least one issue (an incompatibility). The output is for sending a notification of the issue to at least one of the 3D capture device and the 3D display device.

Abstract: A method of generating a depth cue for three dimensional video content is disclosed. The method comprises the steps of (a) detecting three dimensional video content that will appear in observer space when displayed (110) (b) identifying a reference projection parameter (120) (c) estimating a location of a shadow that would be generated by the detected content as a consequence of a light source emitting light according to the reference projection parameter (130) and (d) projecting light content imitating a shadow to the estimated location to coincide with display of the three dimensional video content (140). Also disclosed are a computer program product for carrying out a method of generating a depth cue for three dimensional video content and an apparatus (800) for generating a depth cue for three dimensional video content.

Abstract: A method and a system are provided integrating inter-pose constraints, which are weighted in a step of “bundle adjustment” in a localization application (SLAM). The inertial data associated with a motion model serve to predict the pose of the system at the instant of a new image. This prediction is then used to construct an inter-pose constraint. A technique arising from learning theory selects the weighting coefficient (ratio of the noise of the covariance signals) in an efficient manner. The inter-pose constraint thus weighted is then integrated within the cost function of the bundle adjustment.

Abstract: A method and a system are provided integrating inter-pose constraints, which are weighted in a step of “bundle adjustment” in a localization application (SLAM). The inertial data associated with a motion model serve to predict the pose of the system at the instant of a new image. This prediction is then used to construct an inter-pose constraint. A technique arising from learning theory selects the weighting coefficient (ratio of the noise of the covariance signals) in an efficient manner. The inter-pose constraint thus weighted is then integrated within the cost function of the bundle adjustment.