Abstract: Methods and devices are provided for use in a streaming process (130) of a Virtual Reality [VR] video to a VR rendering device (120). The streaming process has a configurable setup, each configured setup providing respective different image data of a scene. The VR rendering device is arranged to render a current view of the scene based on a current head position. The streaming process is executed according to a first configured setup providing first image data needed to render the current view. EEG data is determined by measuring brain signals (115) and a head movement is predicted based on the EEG data. Target image data is determined as needed for rendering a future view based on the predicted head movement. A new configured setup for providing the target image data is determined. By adapting the streaming process based on the prediction the target image data can be provided in time and efficiently using available bandwidth.

Abstract: Methods and devices are provided for use in a streaming process (130) of a Virtual Reality [VR] video to a VR rendering device (120). The streaming process has a configurable setup, each configured setup providing respective different image data of a scene. The VR rendering device is arranged to render a current view of the scene based on a current head position. The streaming process is executed according to a first configured setup providing first image data needed to render the current view. EEG data is determined by measuring brain signals (115) and a head movement is predicted based on the EEG data. Target image data is determined as needed for rendering a future view based on the predicted head movement. A new configured setup for providing the target image data is determined. By adapting the streaming process based on the prediction the target image data can be provided in time and efficiently using available bandwidth.

Abstract: Method for converting at least one image of a first spectrum into an image of a second spectrum, comprising: —recording at least one first-spectrum reference image (NRI) of at least one reference scene (RS) with a first-spectrum recording apparatus (1), the first-spectrum reference image (NRI) comprising first image portions with corresponding first-spectrum sensor reference data (b1, b2); —providing corresponding second-spectrum reference information (RGB); —providing at least one set of reference data (T1, T2) from at least part of the first-spectrum sensor reference data (b1, b2) relating to the reference scene (RS), and at least a corresponding part of the second-spectrum information (RGB) relating to that reference scene (RS); —providing at least one target first-spectrum image (NTI) or target second-spectrum image; and —converting each target first-spectrum image (NTI) or target second-spectrum image into a respective second-spectrum image (CI) or first-spectrum image, respectively, using the set of ref

Abstract: Method for converting at least one image of a first spectrum into an image of a second spectrum, comprising: —recording at least one first-spectrum reference image (NRI) of at least one reference scene (RS) with a first-spectrum recording apparatus (1), the first-spectrum reference image (NRI) comprising first image portions with corresponding first-spectrum sensor reference data (b1, b2); —providing corresponding second-spectrum reference information (RGB); —providing at least one set of reference data (T1, T2) from at least part of the first-spectrum sensor reference data (b1, b2) relating to the reference scene (RS), and at least a corresponding part of the second-spectrum information (RGB) relating to that reference scene (RS); —providing at least one target first-spectrum image (NTI) or target second-spectrum image; and —converting each target first-spectrum image (NTI) or target second-spectrum image into a respective second-spectrum image (CI) or first-spectrum image, respectively, using the set of ref