Accenture Global Services Gmbh

Ana Cristina Andres Del Valle

Kelly L Dempski

A system distributes digital media content to a plurality of user devices, where a given user is associated with multiple user devices. First content is provided by a controller to a first user device and, in response, the controller determines interaction by the user with the first content. Thereafter, the controller provides second content to a second user device based on the prior provision of the first user content to the first user device and the first interaction information. More extensive user interaction history as well as device types may also be employed by the controller when determining the second content.

Media distribution architecture for television viewing

The disclosure concerns methods of playback of a video stream comprising: receiving from a first user device () first media content associated with said video stream; associating with said first media content a time stamp indicating the time at which said first media content is received with respect to a reference time associated with said video stream; and during delayed playback of said video stream on a second user device (), transmitting, at the time indicated by said time stamp, said first media content for display by said second user device.

System for delayed video viewing

The disclosure concerns methods of playback of a video stream comprising: receiving from a first user device first media content associated with said video stream; associating with said first media content a time stamp indicating the time at which said first media content is received with respect to a reference time associated with said video stream; and during delayed playback of said video stream on a second user device, transmitting, at the time indicated by said time stamp, said first media content for display by said second user device.

A gaming system comprises a gaming platform adapted to run a computer game in which an avatar is associated with a player of the game; a memory arranged to store one or more attributes associated with said avatar, said attributes affecting at least the appearance of the avatar in the game; a first input port adapted to receive an input of the player for controlling the progression of the avatar in the game; and a second input port adapted to receive an input of a moderator indicating a modification to be applied to one or more of the avatars attributes stored in said memory, wherein the gaming platform is adapted to display to the player an indication of modified attributes.

Modification of avatar attributes for use in a gaming system via a moderator interface

Apparatuses, computer media, and methods for altering a camera image, in which the source image may be angularly displaced from a camera image. A plurality of points on the camera image is located and a mesh is generated. Compensation information based on the displacement is determined, and a reshaped image is rendered from the mesh, the compensation information, and the camera image. The camera image is reshaped by relocating a proper subset of the points on the camera image. Deformation vectors are applied to corresponding points on the mesh using the compensation information. A correction factor is obtained from an angular displacement and a translation displacement of the source image from the camera image. The deformation factor is multiplied by the compensation factor to form a deformation vector to compensate for angular and translational displacements of the source image from the camera image.

Reshaping a camera image

Apparatuses, computer media, and methods for altering a submitted image of a person. The submitted image is transformed in accordance with associated data regarding the person's condition. Global data may be processed by a statistical process to obtain cluster information, and the transformation parameter is then determined from cluster information. The transformation parameter is then applied to a portion of the submitted image to render a transformed image. A transformation parameter may include a texture alteration parameter, a hair descriptive parameter, or a reshaping parameter. An error measure may be determined that gauges a discrepancy between a transformed image and an actual image. A transformation model is subsequently reconfigured with a modified model in order to reduce the error measure. Also, the transformation model may be trained to reduce an error measure for the transformed image.

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Juan les Pins, France

Ana Cristina Andres Del Valle