Modifying objects in a film

ES3079116T3Undetermined Publication Date: 2026-09-21FLAWLESS HOLDINGS LTD (100 00)
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Patent Information

Application Number
ES2022740438T
Authority / Receiving Office
ES · ES
Patent Type
Patents
Current Assignee / Owner
Priority Date
2021-12-23
Filing Date
2022-05-26
Publication Date
2026-09-21
Estimated Expiration
2042-05-26

AI Technical Summary

Technical Problem

The filmmaking process is time-consuming and expensive, with limited flexibility for reshooting scenes, and foreign language versions often lose nuance and quality due to text subtitles or audio dubbing, lacking the original film's visual and audio fidelity.

Method used

A computer-implemented method using a machine learning model, particularly a deep neural network, to isolate and modify specific objects within video frames, such as facial expressions, enabling seamless visual dubbing and performance transposition by training on rich video data from multiple takes, allowing photorealistic editing and integration into filmmaking workflows.

Benefits of technology

Enables photorealistic deep editing of video data, maintaining the original film's quality and nuance, with minimal impact on actor performance, and facilitating efficient production of foreign language versions.

✦ Generated by Eureka AI based on patent content.

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Abstract

A computer method for processing video data comprising a first frame sequence containing a first instance of an object. The method includes isolating said first instance of the object within the first frame sequence, determining, using the isolated first instance, the first parameter values ​​for a synthetic model of the object, modifying said values, generating a modified first instance using a trained machine learning model and the modified values ​​of the synthetic model, and replacing at least a portion of the first instance of the object within the first frame sequence with a corresponding portion of the modified first instance.
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