Display with an appropriate luminance dynamic range is realizable on a receiving side. A gamma curve is applied to input video data having a level range from 0% to 100%*N (N: a number larger than 1) to obtain transmission video data. This transmission video data is transmitted together with auxiliary information used for converting a high-luminance level on the receiving side. A high-level side level range of the transmission video data is converted on the receiving side such that a maximum level becomes a predetermined level based on the auxiliary information received together with the transmission video data.

Provided is an information processing apparatus including an acquisition unit that acquires a second image obtained by photographing a color sample by a second camera device and by developing, and an estimation unit that estimates a second 3D-LUT for reproducing, by the first camera device, a color of the color sample in the second image by inputting the second image to a model that has learned a first image obtained by photographing the color sample under a standard light source by a first camera device and by developing as input data and a first 3D lookup table (3D-LUT) used for developing the first image as correct answer data. As a result, the 3D-LUT can be generated more easily.

Display with an appropriate luminance dynamic range is realizable on a receiving side. A gamma curve is applied to input video data having a level range from 0% to 100%*N (N: a number larger than 1) to obtain transmission video data. This transmission video data is transmitted together with auxiliary information used for converting a high-luminance level on the receiving side. A high-level side level range of the transmission video data is converted on the receiving side such that a maximum level becomes a predetermined level based on the auxiliary information received together with the transmission video data.

Techniques are provided for converting live presentations into electronic media and managing captured media assets for distribution. An exemplary system includes capture devices that capture media assets of live presentations comprising a session, including image data of sequentially presented visual aids accompanying the live presentations and audio data. Each capture device has an interface for real-time image data marking of the image data for identification of individual images and session marking of the image data for demarcation of individual presentations of the session. A centralized device processes the captured media assets and automatically divides the captured media assets into discrete files associated with the individual presentations based on the session markings. An administrative tool manages the processed media assets to produce modified presentations and enables modification of the visual aid images identified by the image data markings. A production device formats the modified presentations for distribution on distribution media.

Facilitating interaction may be enabled through communication protocols and/or APIs that permit information regarding image processing capabilities of associated graphics hardware to be exchanged between graphics device drivers and video renders. In a first exemplary media implementation, electronically-executable instructions thereof for a video renderer precipitate actions including: issuing a query from a video render towards a graphics device driver, the query requesting information relating to process amplifier (ProcAmp) capabilities; and receiving a response at the video renderer from the graphics device driver, the response including the requested information relating to ProcAmp capabilities. In a second exemplary media implementation, a graphics device driver precipitates actions including: receiving a query at the graphics device driver from a video renderer, the query requesting information relating to ProcAmp capabilities; and sending a response to the video renderer from the graphics device driver, the response including the requested information that relates to ProcAmp capabilities.

A video encoding and decoding system that implements an adaptive transfer function method internally within the codec for signal representation. A focus dynamic range representing an effective dynamic range of the human visual system may be dynamically determined for each scene, sequence, frame, or region of input video. The video data may be cropped and quantized into the bit depth of the codec according to a transfer function for encoding within the codec. The transfer function may be the same as the transfer function of the input video data or may be a transfer function internal to the codec. The encoded video data may be decoded and expanded into the dynamic range of display(s). The adaptive transfer function method enables the codec to use fewer bits for the internal representation of the signal while still representing the entire dynamic range of the signal in output.

A video encoding and decoding system that implements an adaptive transfer function method internally within the codec for signal representation. A focus dynamic range representing an effective dynamic range of the human visual system may be dynamically determined for each scene, sequence, frame, or region of input video. The video data may be cropped and quantized into the bit depth of the codec according to a transfer function for encoding within the codec. The transfer function may be the same as the transfer function of the input video data or may be a transfer function internal to the codec. The encoded video data may be decoded and expanded into the dynamic range of display(s). The adaptive transfer function method enables the codec to use fewer bits for the internal representation of the signal while still representing the entire dynamic range of the signal in output.

Video processing techniques and pipelines that support capture, distribution, and display of high dynamic range (HDR) image data to both HDR-enabled display devices and display devices that do not support HDR imaging. A sensor pipeline may generate standard dynamic range (SDR) data from HDR data captured by a sensor using tone mapping, for example local tone mapping. Information used to generate the SDR data may be provided to a display pipeline as metadata with the generated SDR data. If a target display does not support HDR imaging, the SDR data may be directly rendered by the display pipeline. If the target display does support HDR imaging, then an inverse mapping technique may be applied to the SDR data according to the metadata to render HDR data for display. Information used in performing color gamut mapping may also be provided in the metadata and used to recover clipped colors for display.

Adaptive video processing for a target display panel may be implemented in or by a server/encoding pipeline. The adaptive video processing methods may obtain and take into account video content and display panel-specific information including display characteristics and environmental conditions (e.g., ambient lighting and viewer location) when processing and encoding video content to be streamed to the target display panel in an ambient setting or environment. The server-side adaptive video processing methods may use this information to adjust one or more video processing functions as applied to the video data to generate video content in the color gamut and dynamic range of the target display panel that is adapted to the display panel characteristics and ambient viewing conditions.

Video processing techniques and pipelines that support capture, distribution, and display of high dynamic range (HDR) image data to both HDR-enabled display devices and display devices that do not support HDR imaging. A sensor pipeline may generate standard dynamic range (SDR) data from HDR data captured by a sensor using tone mapping, for example local tone mapping. Information used to generate the SDR data may be provided to a display pipeline as metadata with the generated SDR data. If a target display does not support HDR imaging, the SDR data may be directly rendered by the display pipeline. If the target display does support HDR imaging, then an inverse mapping technique may be applied to the SDR data according to the metadata to render HDR data for display. Information used in performing color gamut mapping may also be provided in the metadata and used to recover clipped colors for display.