Abstract: Systems and methods described herein are configured to enhance the understanding and experience of news and live events in real-time. The systems and methods leverage a distributed network of professional and amateur journalists/correspondents using technology to create unique experiences and/or provide views and perspectives different from experiences, views and/or perspectives provided by existing newscasts and/or sportscasts.

Abstract: A system is provided for generating video content with hue-preservation in virtual production. The system comprises a memory for storing instructions and a processor configured to execute the instructions. Based on the executed instructions, the processor is further configured to control a saturation of scene linear data based on mapping of a first color gamut corresponding to a first encoding format of raw data to a second color gamut corresponding to a defined color space. The processor is further configured to determine a standard dynamic range (SDR) video content in the defined color space based on the scene linear data. Based on a scaling factor that is applied to three primary color values that describe the first color gamut, hue of the SDR video content is preserved.

Abstract: Provided is a system for controlling digital cinematic content based on emotional state of characters. A focus on one or more computer-controlled characters appearing in digital cinematic content is determined based on emotion indicators of a first user actively interacting with at least the one or more computer-controlled characters. A set of emotion indicators is inferred for each of the one or more computer-controlled characters based on one or more criteria and multifactor feedback loops are created. A story line of the digital cinematic content and behavioural characteristics of the one or more computer-controlled characters are controlled to achieve a target emotional arc of the first user based on the multifactor feedback loops.

Abstract: A method for preparing digital image data from an analog image input by scanning, and reducing visibility of the scanning noise, may include estimating a visibility of scanning noise, and a number of scanning samples needed to reduce scanning noise to below a visible threshold. Related methods include scanning, by an analog-to-digital image scanner, an analog image for multiple iterations, resulting in digital image data for each of the iterations; calculating a noise statistic for individual pixels of digital image data across the iterations; determining true values of individual pixels of the digital image data based on the noise statistic for each of the individual pixels and generating scanner noise reduced digital image data wherein pixels are assigned their respective ones of the true values; and saving the scanner noise reduced digital image data in a computer memory.

Abstract: Mathematical relationships between the scene geometry, camera parameters, and viewing environment are used to control stereography to obtain various results influencing the viewer's perception of 3D imagery. The methods may include setting a horizontal shift, convergence distance, and camera interaxial parameter to achieve various effects. The methods may be implemented in a computer-implemented tool for interactively modifying scene parameters during a 2D-to-3D conversion process, which may then trigger the re-rendering of the 3D content on the fly.

Abstract: A game modification engine modifies configuration settings affecting game play and the user experience in computer games after initial publication of the game, based on device level and game play data associated with a user or cohort of users and on machine-learned relationships between input data and a use metric for the game. The modification is selected to improve performance of the game as measured by the use metric. The modification may be tailored for a user cohort. The game modification engine may define the cohort automatically based on correlations discovered in the input data relative to a defined use metric.

Abstract: Methods for managing non-player characters and power centers in a computer game are based on character hierarchies and individualized correspondences between each character's traits or rank and events that involve other non-player characters or objects. Players may share power centers, character hierarchies, non-player characters, and related quests involving the shared objects with other players playing separate and unrelated game instances over a computer network, with the outcome of the quests reflected in different the games. Various configurations of game machines are used to implement the methods.

Abstract: A computer-implemented method for producing real-time media content customized for a travel event in a dynamic travel route between an origin and a destination of a connected vehicle. The method includes maintaining media production data, receiving information on a travel event including route information, producing media content based on the travel event and travel route information, and streaming the media content to connected cars and servers along the travel route.

Abstract: 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.

Abstract: 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.

Abstract: A method for converting a source video content constrained to a first color space to a video content constrained to a second color space using an artificial intelligence machine-learning algorithm based on a creative profile.

Abstract: A smart media player configures interactive media customized for passengers temporarily sharing a common conveyance (e.g., an automobile or other vehicle), using programmed methods. The methods include identifying profile data for each of the passengers and trip data for the common conveyance. Then, the smart media player may select an interactive media title for the passengers as a group based on at least one of the profile data or the trip data, including one or more of a variety of games for playing with other passengers in the vehicle. The interactive media title may be configured for output by the smart media player while the passengers are sharing the common conveyance. The media player plays the interactive media title in the common conveyance enabled for interaction with the passengers during the period.

Abstract: A method for matching mouth shape and movement in digital video to alternative audio includes deriving a sequence of facial poses including mouth shapes for an actor from a source digital video. Each pose in the sequence of facial poses corresponds to a middle position of each audio sample. The method further includes generating an animated face mesh based on the sequence of facial poses and the source digital video, transferring tracked expressions from the animated face mesh or the target video to the source video, and generating a rough output video that includes transfers of the tracked expressions. The method further includes generating a finished video at least in part by refining the rough video using a parametric autoencoder trained on mouth shapes in the animated face mesh or the target video. One or more computers may perform the operations of the method.

Abstract: A method and system for automated voice casting compares candidate voices samples from candidate speakers in a target language with a primary voice sample from a primary speaker in a primary language. Utterances in the audio samples of the candidates speakers and the primary speaker are identified and typed and voice samples generated that meet applicable utterance type criteria. A neural network is used to generate an embedding for the voice samples. A voice sample can include groups of different utterance types and embeddings generated for each utterance group in the voice sample and then combined in a weighted form wherein the resulting embedding emphasizes selected utterance types. Similarities between embeddings for the candidate voice samples relative to the primary voice sample are evaluated and used to select a candidate speaker that is a vocal match.

Abstract: A computer-implemented method for transforming audio-video data includes automatically detecting substantially all discrete human-perceivable messages encoded in the audio-video data, determining a semantic encoding for each of the detected messages, assigning a time code to each of the encodings correlated to specific frames of the audio-video data, and recording a data structure relating each time code to a corresponding one of the semantic encodings in a recording medium. The method may further include converting extracted recorded vocal instances from the audio-video data into a text data, generating a dubbing list comprising the text data and the time code, assigning a set of annotations corresponding to the one or more vocal instances specifying one or more creative intents, generating the scripting data comprising the dubbing list and the set of annotations, and other optional operations. An apparatus may be programmed to perform the method by executable instructions for the foregoing operations.

Abstract: Provided is a system and method for resiliency testing at a session level. A fault injection request is received from a client device associated with a user, via a user interface. The fault injection request defines an active impairment of one of a service or an endpoint with a blast radius restricted to a scope of the received fault injection request. The scope of the received fault injection request corresponds to a first session in a production environment or a lower environment. A client request is received from the client device within the blast radius of the active impairment. Based on the fault injection request and a persistence within the blast radius, the one of the service or the endpoint is impaired in the first session. A response, received from an entity associated with the one of the service or the endpoint, is transmitted to the client device.

Abstract: 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.

Abstract: 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.

Abstract: A method for simulating fluid surfaces in real-time in response to user input includes detecting interactive conditions triggering insertion of a heterogeneous mesh sequence in a 3D model sequence for rendering, fetching ones of the heterogenous mesh sequence from a computer memory, inserting the successive members in corresponding representations of the 3D model sequence in a computer memory, and rendering successive video frames from the representations of the 3D model sequence each including a successive member of the heterogenous mesh sequence.

Abstract: 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 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.