Patent classifications
H04N21/45455
BLURRING PRIVACY MASKS
Methods and apparatus, including computer program products, implementing and using techniques for encoding a video sequence comprising a plurality of image frames, by an encoder are described. An image frame is received from a video stream. An input is received, which indicates one or more regions in the received image frame for which a privacy mask should be applied. The one or more regions are represented by one or more coding units. The image frame is encoded into an output frame, wherein image data in the one or more regions is replaced by intra-predicted coding units with transformed coefficients set to zero, the intra-predicted coding units are obtained from a prediction stage in the encoder.
VIDEO PRIVACY USING MACHINE LEARNING
A method, system and computer program product for providing video privacy is provided herein. First video data captured by a video camera is received. A context for the first video data is determined. It is determined that the context matches a privacy context from a set of privacy contexts identified using machine learning. In response to the context matching the privacy context, at least a portion of second video data is blocked that is captured by the video camera subsequent to the first video data.
MASKING IN VIDEO STREAM
Methods and devices for combining a mask with a selectively progressing video stream may include receiving a selection of at least one mask with a mask zone that obscures at least a portion of the video stream. The methods and devices may include receiving a selection to emplace the at least one mask at a first location within the video stream. The methods and devices may include receiving a selection to enable a tracking icon to move the at least one mask to a second location within the video stream while the video stream progresses. The methods and devices may include generating a combined output of the video stream and the selective emplacement and movement of the at least one mask during the video stream progression.
MASKING IN VIDEO STREAM
Methods and devices for combining a mask with a selectively progressing video stream may include receiving a selection of at least one mask with a mask zone that obscures at least a portion of the video stream. The methods and devices may include receiving a selection to emplace the at least one mask at a first location within the video stream. The methods and devices may include receiving a selection to enable a tracking icon to move the at least one mask to a second location within the video stream while the video stream progresses. The methods and devices may include generating a combined output of the video stream and the selective emplacement and movement of the at least one mask during the video stream progression.
Dynamic video exclusion zones for privacy
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for preserving privacy in surveillance. The methods, systems, and apparatus include actions of determining a state of a monitoring system, determining an exclusion zone that is shown in a video, determining whether to obfuscate at least a portion of the video based on the exclusion zone and the state of the monitoring system, and obfuscating at least the portion of the video.
Dynamic occlusion of livestreaming
In an approach for dynamic occlusion of a live streaming video, a processor receives and processes a live streaming video. A processor determines whether any restricted content is in the live streaming video based on a set of user rules. A processor, in response to determining one or more restricted content being in the live streaming video, applies an occlusion to the one or more restricted content in the live streaming video. A processor broadcasts the live streaming video with the occlusion.
DYNAMIC VIDEO EXCLUSION ZONES FOR PRIVACY
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for preserving privacy in surveillance. The methods, systems, and apparatus include actions of determining a state of a monitoring system, determining an exclusion zone that is shown in a video, determining whether to obfuscate at least a portion of the video based on the exclusion zone and the state of the monitoring system, and obfuscating at least the portion of the video.
SENSITIVITY ASSESSMENT FOR MEDIA PRODUCTION USING ARTIFICIAL INTELLIGENCE
An automatic flagging of sensitive portions of a digital dataset for media production includes receiving the digital dataset comprising at least one of audio data, video data, or audio-video data for producing at least one media program. A processor identifies sensitive portions of the digital dataset likely to be in one or more defined content classifications, based at least in part on comparing unclassified portions of the digital dataset with classified portions of the prior media production using an algorithm, and generates a plurality of sensitivity tags each signifying a sensitivity assessment for a corresponding one of the sensitive portions. The processor may save the plurality of sensitivity tags each correlated to its corresponding one of the sensitive portions in a computer memory for use by a media production or localization team.
Dynamic advertisement insertion
In one embodiment, a set-top box records playback content. The playback content comprises at least one frame that displays first media content and a first advertisement simultaneously. Moreover, the first advertisement is associated with an expiry date. The set-top box receives a selection to view the playback content on a viewing date and determines that the viewing date is past the expiry date associated with the first advertisement. When the viewing date is past the expiry date associated with the first advertisement, the set-top box updates the playback content by replacing the first advertisement in the at least one frame of the playback content with a second advertisement. The set-top box communicates the updated playback content to a display device. The updated playback content comprises at least one frame that displays media content and the second advertisement simultaneously.
Communication event
In a communication event via a network between a requesting user, operating a first user device, and a responding user, operating a second user device, each of the user devices captures a stream of audio data, transmits the captured stream of audio data to the other user device via the network for receiving thereat, and outputs, to its user, the audio stream received from the other user device. A video exchange function is initially suppressed for the communication event for both of the user devices. The first user device transmits to the second user device a request to stop suppressing video. If the responding user does not accept the request, the video exchange function continues to be suppressed for both of the user devices. If the responding user accepts the request, the video exchange function stops being suppressed for both of the user devices.