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US Patent 11023735 Automatic versioning of video presentations

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11023735
Date of Patent
June 1, 2021
Patent Application Number
16931964
Date Filed
July 17, 2020
Patent Citations
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US Patent 10021377 Combining 3D video and auxiliary data that is provided when not reveived
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US Patent 10108932 Systems and methods for identifying hidden talent
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US Patent 10115038 Method for adaptive learning utilizing facial recognition
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US Patent 10147460 Haptic effect generation for space-dependent content
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US Patent 10152695 Machine learning based system and method of calculating a match score and mapping the match score to a level
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US Patent 10152696 Methods and systems for providing predictive metrics in a talent management application
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US Patent 10168866 Methods and software for facilitating theme-based online social interaction, support, awareness, and learning
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US Patent 10178427 Method, apparatus and system of synchronizing audio with video
...
Patent Citations Received
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US Patent 11966429 Monitoring third-party forum contributions to improve searching through time-to-live data assignments
30
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US Patent 11863858 Automatic camera angle switching in response to low noise audio to create combined audiovisual file
31
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US Patent 11907652 User interface and systems for document creation
32
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US Patent 11961044 Behavioral data analysis and scoring system
33
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US Patent 11636678 Audio and video recording and streaming in a three-computer booth
34
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US Patent 11783645 Multi-camera, multi-sensor panel data extraction system and method
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US Patent 11423071 Candidate data ranking method using previously selected candidate data
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US Patent 11861904 Automatic versioning of video presentations
36
Patent Primary Examiner
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Daniel G Mariam
Patent abstract

A system and method are presented to create custom versions for users of recorded sessions of individuals. Individuals are recorded at a booth responding to prompts. Audio and visual data recorded at the booth are divided into time segments according to the timing of the prompts. Depth sensors at the booth are used to assign score values to time segments. Prompts are related to criteria that were selected as being relevant to an objective. Users are associated with subsets of criteria in order to identify subsets of prompts whose responses are relevant to the users. Time segments of audio and visual data created by the identified subset of prompts are selected. The selected time segments are ordered according to herd behavior analysis. Lesser weighted time segments may be redacted. The remaining portions of ordered time segments are presented to the user as a custom version.

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