Theta Lake, Inc.

James E Anderson

Richard Banks Sutton

Devin Hugh Redmond

Sharon Hüffner

Derek G Brenner

Rohit Jain

Anthony Cresci

Computer display with graphical user interface for video compliance review

Computer display with animated graphical user interface showing video reviewer flags

Computer display with graphical user interface for a workflow editor

The disclosed invention provides methods supporting systems that processes video communication(s) provided by an organization subject to internal or external regulations such as a specific financial services firm or a specific consumer product goods company. In various embodiments, video content is analyzed through a pipeline process of multiple extraction scripts, programs, and/or services and processes the content for participant likeness through facial recognition, voice recognition, and voice-to-text and stores the output in a normalized, searchable data store. A policy analysis is performed based on the stored data and external regulatory compliance, internal rules such as acceptable use policies, community-based regulations, or any combination thereof, to determine a risk score.

Systems and methods for application of context-based policies to video communication content

Computer display with graphical user interface showing timeline markers for a video

Computer display with animated graphical user interface showing a risk score

Methods of and systems for identifying a discrete participant among a plurality of participants in an audio/video communication (e.g., video content, digital video content, audio content, and audio-visual content) that include: receiving the audio/video communication; identifying from the audio/video communication content (e.g., using metadata from the broadcast content to identify each participant) multiple identification-related features for each participant; associating a first identification-related feature of a first participant to a second identification-related feature of the first participant; organizing the associated identification-related features of the first participant into a feature class(es); logically relating a first feature class to a second feature class; and attributing a grouping of logically-related feature classes to the discrete participant.

Systems and methods for identifying participants in multimedia data streams

Growing community of inventors

Ashburn, VA, United States of America

James E Anderson