Microsoft Technology Licensing, LLC

Mehmet Kucukgoz

Matthew Richard Wozniak

Holly Helene Pollock

Ramarathnam R Venkatesan

Glenn Frederick Evans

Mehmet Kivanc Mihcak

Rafael Vincent Prieto Vertido

Abo Talib Mafoodh

Ian Glen Neal

Naveen Thumpudi

Abhijit Sarkar

Louis-Philippe Bourret

Christian Palmer Larson

The present disclosure relates to systems, methods, and computer-readable media for selectively identifying pixel data to provide as an input to an image processing model based on motion data associated with the content of a digital video. For example, systems disclosed herein include receiving a compressed digital video and decompressing the compressed digital video to generate a decompressed digital video. The systems disclosed herein further include extracting or otherwise identifying motion data while decompressing the compressed digital video. The systems disclosed herein also include analyzing the motion data to determine a subset of pixel data from the decompressed digital video to provide as input to an image processing model trained to generate an output based on input pixel data.

Selectively identifying data based on motion data from a digital video to provide as input to an image processing model

Devices and methods for automatic application of mapping functions to video signals based on inferred parameters are provided. In one example, a method, including initiating display of content based on a video signal being processed by a device, is provided. The method may further include in response to at least a first change in an intensity of ambient light or a second change in a color of the ambient light subsequent to the initiating of the display of the content based on the video signal, selecting a first mapping function applicable to pixels corresponding to frames of the video signal based at least on a first inferred parameter from a selected machine learning model. The method may further include automatically applying the first mapping function to a first plurality of pixels corresponding to a first set of frames of the video signal.

Automatic application of mapping functions to video signals based on inferred parameters

A computing device is provided, including a display and a processor. The processor may, for each frame of a plurality of frames included in a video, determine a brightness characterization for a region of interest of the frame. The processor may determine one or more additional brightness characterizations for the region of interest of one or more additional frames of the plurality of frames. The processor may determine that a high brightness condition is present in the region of interest. The processor may generate a filter for the frame based on the brightness characterization and the one or more additional brightness characterizations. The processor may apply the filter to the region of interest of the frame to generate a filtered frame. The high brightness condition is not present in the region of interest of the filtered frame. The processor may output the filtered frame for display at the display.

Video frame brightness filter

A computing device is configured to selectively adjust a brightness of a video based on a user-specific response to light. A user-specific light response parameter is determined. For each frame of a plurality of frames included in the video, (1) a brightness characterization for the frame is determined, (2) one or more additional brightness characterizations for one or more additional frames of the plurality of frames is determined, (3) a filter for the frame is generated based on the brightness characterization, the one or more additional brightness characterizations, and the user-specific light response parameter, (4) the filter is applied to the frame to generate a filtered frame, and (5) the filtered frame is output by the computing device. The filter is configured such that if a high brightness condition is present in the frame, then the high brightness condition is mitigated or removed from the filtered frame.

User-specific video frame brightness filter

Innovations in rendering of high dynamic range ('HDR') video on a display device having enhanced dynamic range ('EDR'). The peak brightness for an EDR display device is lower than the peak brightness for a typical HDR display device but higher than the peak brightness for a typical display device having standard dynamic range. The increased range of brightness values in an EDR display device can be utilized effectively to show bright highlights of the HDR video. For example, decision logic is configured to evaluate a peak brightness of a target display device and select an HDR-to-EDR tone mapping mode. A tone mapper is configured to apply tone mapping to input values for the sample values of HDR video, according to a tone mapping function, thereby producing output values for sample values of EDR video.

Architecture for rendering high dynamic range video on enhanced dynamic range display devices

Innovations in rendering of high dynamic range ('HDR') content are described. A playback system can adjust a tone mapping function used when rendering the HDR content, thereby improving quality when rendering the HDR content. For example, the playback system includes decision logic, which is configured to receive summary information (e.g., histogram information) for sample values of a picture of HDR content, and set a tone mapping function based at least in part on the summary information. The tone mapping function can be selected from among multiple available tone mapping functions, and parameters of the selected tone mapping function can be determined based at least in part on the summary information. A tone mapper is configured to apply tone mapping to input values for the sample values of the picture of HDR content, according to the tone mapping function, and thereby produce output values.

Content-adaptive adjustments to tone mapping operations for high dynamic range content

Innovations in rendering of high dynamic range ('HDR') content are described. A playback system can dynamically and proactively adjust the brightness level of a target display device. In some cases, this can reduce power consumption when rendering HDR content, without any noticeable degradation in quality. For example, the playback system includes decision logic. The decision logic is configured to receive summary information for sample values of a picture of HDR content and determine (based at least in part on the summary information) a brightness level of the target display device. The playback system can send, to the target display device, a control signal that indicates the brightness level of the target display device. A tone mapper can be configured to apply tone mapping to input values for the sample values of the picture of HDR content, according to a tone mapping function, and thereby produce output values.

Content-adaptive adjustment of display device brightness levels when rendering high dynamic range content

The present invention leverages a series of media watermark locations to provide information relating to media ownership and/or distribution source. This provides a forensic means to establish a source of media with a high degree of certainty despite malicious and/or non-malicious attacks. By providing embedded user unique identification, a source of copied media can be determined without the embedded information substantially interfering with the intended purpose of the media itself. In one instance of the present invention, digital media is transformed into an N-dimensional media signal. User unique keys are then utilized along with a master key to determine locations for embedding a watermark signal that possesses substantially similar quantized statistics as the transformed media signal. The watermark signal is then embedded into the media signal, fingerprinting the media.

Systems and methods for embedding media forensic identification markings

A desynchronized fingerprinting method and system for identifying collaborators in the making of illegal copies of digital multimedia products. The desynchronized fingerprinting system and method can be used for both audio and video applications. The method and system include an embedding feature and a detection and extraction feature. A different and unique key is assigned to each buyer of a copy of the digital data. The embedding feature includes applying a pseudo-random transformation to selected embedding regions. The key for the pseudo-random transform is user-specific. These regions are chosen by using a secure multimedia hash function. The detection and extraction feature includes a brute-force search in the key space of the buyers. If one of the keys is likely enough, then it can be said that that user was been involved in the production of an illegal copy.

Growing community of inventors

Seattle, WA, United States of America

Mehmet Kucukgoz