WARNER BROS. ENTERTAINMENT INC.

Provided is a gesture-recognition (GR) device that includes a printed circuit board (PCB) and a controller. The circuit board has an aspect ratio exceeding a threshold value that corresponds to at least a 70 percent difference between length and width of the PCB. The PCB includes a first unit and a second unit. The first unit corresponds to a base unit to be grasped by hand of a user. The second unit corresponds to an elongate unit that extends outward from the first unit. The second unit is characterized by a minimal wand form factor. A rigid strength of the second unit is based on at least a shape of an outer shell and a structural attribute of the second unit. The controller controls illumination of a plurality of light sources mounted on the second unit of the circuit board based on assertion signals.

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.

Video conversion technology, in which a first stream of video content is accessed and multiple, different layers are extracted from the first stream of the video content. Each of the multiple, different layers are separately processed to convert the multiple, different layers into modified layers that each have a higher resolution. The modified layers are reassembled into a second stream of the video content that has a higher resolution than the first stream of the video content.

A computer-implemented method for peer-to-peer (P2P) networks for the delivery of media content held in the peer-to-peer network to a vehicle in a local subgroup of the P2P network, and for providing an automated process for P2P networks for transferring of physical articles or electronic data package between vehicles traveling different routes.

An entertainment system provides data to a common screen (e.g., cinema screen) and personal immersive reality devices. For example, a cinematic data distribution server communicates with multiple immersive output devices each configured for providing immersive output (e.g., a virtual reality output) based on a data signal. Each of the multiple immersive output devices is present within eyesight of a common display screen. The server configures the data signal based on digital cinematic master data that includes immersive reality data. The server transmits the data signal to the multiple immersive output devices contemporaneously with each other, and optionally contemporaneously with providing a coordinated audio-video signal for output via the common display screen and shared audio system.

A sensor coupled to an AR/VR headset detects an eye convergence distance. A processor adjusts a focus distance for a virtual camera that determines rendering of a three-dimensional (3D) object for a display device of the headset, based on at least one of the eye convergence distance or a directed focus of attention for the at least one of the VR content or the AR content.

A gesture-recognition (GR) device is disclosed that includes a capacitive touch sensor panel and a controller. The capacitive touch sensor panel comprises a plurality of sensing pads arranged in a cylindrical pattern inside a handle of the GR device and detects a multi-factor touch assertion at a set of sensing pads of the plurality of sensing pads. The controller transmits a driving signal to each of the plurality of sensing pads for the detection of the multi-factor touch assertion, generates an assertion signal, determines a signal sequence based on the assertion signal, and converts a current inactive state of the GR device to an active state based on a validation of the determined signal sequence corresponding to the multi-factor touch assertion and an inferred user intent.

Motion picture film is scanned by high-resolution, continuous sprocketless scanner, producing a first sequence of digital images each representing a plurality of motion picture frames and perforations (perfs) of the film input. The first sequence of images is processed using a processor running an analysis and extraction algorithm, producing a second sequence of images each including a single, edge-stabilized frame of the motion picture.

Systems and computer-implemented methods are disclosed for providing social entertainment experiences in a moving vehicle via an apparatus that simulates human social behavior relevant to a journey undertaken by the vehicle, for displaying human-perceivable exterior communication on the moving vehicle to neighboring vehicles and/or pedestrians, and for providing a modular travel experience.

Methods and apparatus for personalizing a vehicle with a sensory output device include receiving, by one or more processors, a signal indicating an identity or passenger profile of a detected passenger in or boarding the vehicle, accessing preference data and geographic location data for the passenger, and selecting sensory content for delivery to the passenger in the vehicle based on the preference data and geographic location data. Methods and apparatus for producing video customized for a preference profile of a person or cohort include associating each of the stored video clips with a set of characteristic parameters relating to user-perceivable characteristics, receiving user profile data relating to the person or cohort, selecting video clips from the data structure based at least partly on the user profile data, and automatically producing a video including the preferred video clips.