Abstract: An intermediary system and method may be provided for assisting a receiver system in processing video data which is streamed as a video stream to the receiver system via a network. The processing of the video data by the receiver system may be dependent on an analysis of the video data. The intermediary system may provide processing assist data to the receiver system which comprises an analysis result or a processing instruction derived from the analysis results. Accordingly, the receiver system may process the video data without a need for the receiver system itself to analyze the video data, thereby offloading computational complexity to the intermediary system.

Abstract: A method and processor system are provided which analyze a depth map, which may be obtained from a range sensor capturing depth information of a scene, to identify where an object is located in the scene. Accordingly, a region of interest may be identified in the scene which includes the object, and image data may be selectively obtained of the region of interest, rather than of the entire scene containing the object. This image data may be acquired by an image sensor configured for capturing visible light information of the scene. By only selectively obtaining the image data within the region of interest, rather than all of the image data, improvements may be realized in the computational complexity of a possible further processing of the image data, the storage of the image data and/or the transmission of the image data.

Abstract: A processor system (200) processes image data from a camera (20) to render a virtual object in a 3D virtual environment and communicate via a network to a server system (300). A processor (220) obtains image data of the physical space from the camera and second data of a second device (30). The processor system sends the image data, the second data and a calibration command to the server system. In the server, a processing resource (320) processes the data according to the calibration command and sends calibration data indicative of a camera pose and a second pose of the second device. The processor generates 3D object data of the object by processing the image data based on the calibration data. The 3D object data is provided for rendering the virtual object in the 3D virtual environment. So, the processor is in control, while the calibration is executed by the server.

Abstract: An intermediary system and method may be provided for assisting a receiver system in processing video data which is streamed as a video stream to the receiver system via a network. The processing of the video data by the receiver system may be dependent on an analysis of the video data. The intermediary system may provide processing assist data to the receiver system which comprises an analysis result or a processing instruction derived from the analysis results. Accordingly, the receiver system may process the video data without a need for the receiver system itself to analyze the video data, thereby offloading computational complexity to the intermediary system.

Abstract: A method and processor system are provided which analyze a depth map, which may be obtained from a range sensor capturing depth information of a scene, to identify where an object is located in the scene. Accordingly, a region of interest may be identified in the scene which includes the object, and image data may be selectively obtained of the region of interest, rather than of the entire scene containing the object. This image data may be acquired by an image sensor configured for capturing visible light information of the scene. By only selectively obtaining the image data within the region of interest, rather than all of the image data, improvements may be realized in the computational complexity of a possible further processing of the image data, the storage of the image data and/or the transmission of the image data.