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Análisis de la implementación de Inteligencia Artificia=
l como herramienta de postproducción digital audiovisual.
Analysis of the Implementation of Artificial<=
span
style=3D'letter-spacing:-.55pt'> Intelligence as a Tool for Digital Audiovisual Post-Production.
Resumen=
:
Con el desarrollo de las tecnologías, muchos
trabajadores se han visto enfrentados a la
automatización de sus cargos. Al igual
que la era industrial, la era virtual se está convirtiendo en un conflicto en dife=
rentes campos laborales. En el mundo tanto del cine y de la creación de contenido, la inteligencia artificial ha tomado protagonismo, simplificando varias tareas en la producción y postproducción de contenido. En el arte de la postproducción o
edición, existen muchas herramientas que facilitan diferentes trabajos que antes tomaban horas,
días, e incluso meses en
realizarse, tales como la colorización , los recortes,
la animación, entre otras cosas. En este trabajo se inda=
ga en
el uso de la inteligencia artif=
icial
por medio de distin=
tos softwares
que se pueden emplear en la
postproducción audiovisual, aprovechando la era digital como una aliada en la realización del séptimo arte.
Palabras claves: inteligencia artificial,
postproducción, digital,
creación de contenido, audiovisual.<=
/o:p>
Abstract:=
With the
development of technology, many workers
have faced the automation of their roles. Just like the industrial era, the virtual
era =
is becoming a conflict in various labor
fields. In the world of =
film
and content creation, artificial
intelligence has taken center stage, <=
/span>simplifying
several tasks in the production and
post-production of content. In the art=
of
post-production or editing, many tools=
facilitate different
tasks that previously took hours, days=
, or
even months to complete, such as
colorization, cutting, animation, among
others. This paper explores the use of
artificial intelligence through various software
that can be employed in audiovisual post-production, leveraging the<=
span
style=3D'letter-spacing:-.5pt'> digital
age as an ally in the creation of the seventh art.
Keywords: =
artificial =
intelligence,
postproductio=
n,
digital, content creation, audiovisual.
Esta obra está bajo una licencia internacional Creative Common=
s
Atribución-NoComercial 4.0.
Sumario. 1.
Introducción. 2. El nacimiento de la inteligencia artificial. 3. Mar=
co
teórico. 3.1 ¿Nueva era =
industrial?
Repercusiones del uso de AI en el ámbito del trabajo humano. 3.2 El =
uso
de la inteligencia artificial en productos audiovisuales. 3.3 Softwares con AI para uso en postproducción. 4. Metodología. 5. Desarrollo. 5.1 Generación del produc=
to
creativo. 5.2 Posibilidades Creativas. 5.3 Comparativas visuales. 6. =
Conclusiones.
Como citar: Jironza Hidalgo, J. (2024).
Análisis de la implementación de Inteligencia Artificial como=
herramienta de postproducción
digital audiovisual. Ñawi . Arte, Diseño, Comunicaci&oacu=
te;n, =
Vol. 8, Núm. 2, 165-177. https://nawi.espol.edu.ec/
www.doi.org/10.37785/nw.v8n2.a9
1.
Introducción La inteligencia artificial ha emer=
gido
como una fuerza disruptiva y transformativa que afecta a varios aspectos de la tecnología actual, revoluci=
onando a las industrias a través<=
span
style=3D'letter-spacing:-.2pt'> de su habilidad
para automatizar tareas y aumentar
la eficiencia en los trabajos. En años recientes, la
integración de AI en el proceso de edición de videos ha generado un cambio de paradigma en la forma en la que los creadores de
contenido hacen un acercamiento a la producción de historias y contenido audiovisual. Esta introducc=
ión plantea
el escenario primordial para explorar<=
span
style=3D'letter-spacing:-.25pt'> la mezcla de AI con la edición de video, con la intención de indagar en los avances,
las aplicaciones e implicaciones de las tecnologías dentro de este campo laboral.
Mientras aumenta la demanda por los
videos de alta calidad, los creadores de contenido se inclinan hacia las herramientas
de AI para mejorar los flujos de trabajo en el proceso de edición, y
así desbloquear nuevas posibilidades creativas. Con herramientas como la detección de esce=
nas
automatizadas, el rastreo de objetos, el relleno según el contenido en la edición y =
la
transferencia de estilos, las tecnologías con AI empoderan a los
editores en la realizació=
;n de tareas tediosas, aumento de estilos
estéticos y aun así entregar
narrativas atractivas con eficiencia. El objetivo de esta investigación, es explorar el rol de la AI como una mejora para la edición de video; de esta manera
ofrecer conocimiento sobre
el impacto potencial de los procesos
de producción, expresión creativa y el futuro de la postproducción digital audiov=
isual.
2. El nacimiento de la inteligencia artificial =
El surgimiento de la inteligencia
artificial AI en la edición de videos marca una era transformativa e=
n el
ámbito creativo, revolucionando la manera en la que filmmakers <=
/span> editores
manejan las narrativas visuales. Emergie=
ndo a finales del 2010 y ganando impulso=
a
inicios del 2020, las herramientas de edición guiadas por AI empezar=
on a proliferar, permitiendo a profesionales agilizar sus flujos de trabajo y liberar nuevos niveles de creatividad. De acuerdo con la revista
digital DeepWord la tecnología actual está moviendo
cada parte de los procesos
de creación de contenido, teniendo
una influencia inmensa
en la que estas herramientas analizan de
autónoma el metraje,
identifican patrones y
ejecutan tareas, tales como trackin=
g de
cámara o corrección de color, entre otras.
A medida que la AI continúa evolucionando, esta aumenta las capacidades de edición de mano del lado humano necesario para el uso de la misma. A su vez, la inteligencia artificial abr=
e el campo a profesionales amateurs
a indagar en formas distintas de edició=
n con
la facilidad que otorga la AI; esto es lo que ha generado discordia en el m=
edio audiovisual, puesto que se considera=
la
moralidad de los trabajos en torno al conocimiento empleado.
Es importante recordar
que la era digital consiguió un gran avance
para la postproducción, simplificando muchos “t=
rucos” antes complicados dentro del séptimo arte. Entre los avances y elementos nuevos en el desarrollo del cine, los efectos visuales
han tomado gran protagonismo en cuanto a la postproducción cinematográfica. En torno a este tema, Hernández (2015, 16) ap=
untaba
lo siguiente:
Los efectos visuales han absorbido los efectos ópt=
icos
originales adaptándose a la postproducción digital de pc. El<=
span
style=3D'letter-spacing:2.0pt'> departamento
de efectos visuales se ha diversificado y especializado, y se han designado
diversas divisiones, unas encargadas de gestionar los puntos del rodaje para facilitar la labor posterior, y otra con un gran número de diseñadores encargados de las diferent=
es
partes de la creación mediante ordenador.
Cabe recalcar que, dentro de la producción, también =
existen avances
relacionados a la tecnología, como el uso de la pantalla verde/azul, puntos de tracking, animatronics , etcétera. De esta manera,
la producción y postproducción cinematográfica
han conseguido manejar los avances a su favor. Es por esto que puede
determinarse que la Inteligencia Artificial
tiene un gran potencial para convertirse en una herramienta más, den=
tro
del área audiovisual.
Es importante mencionar que, con la
inmediatez en la que vivimos debido a la evolución digital, los medi=
os audiovisuales ya no solo se centran en cine y televisión, sino también en publicidades en redes sociales principalmente; para la realización de este contenido inmediato, muchas empresas de publicidad optan por herramientas que empleen AI para optimizar tiempos sin perjud=
icar
calidad.
3.
Marco teórico <=
/span> 3.1&=
nbsp;
=
¿Nueva
era =
industrial? Repercusiones del uso de AI en el ámbito del trabajo humano.
De acuerdo con la revista
europea de estudio
de medios, EJMS (2020), por sus siglas
en inglés, expresa
que el cine es un arte conformado por diversos tipos de arte, y hasta la actualidad apenas ha empezado
a utilizar la inteligencia artificial como una herramienta extr=
a en
el proceso de creación cinemática. Por lo tanto, se encuentra=
en
un área nueva de
exploración y adaptación en cuanto a la Inteligencia Artifici=
al.
De la misma forma, al ser un medio
novedoso por el cual el cine está incursionando, existe gran varieda=
d de aplicaciones que emergen con la finalidad
de facilitar la creación de videos con la simpleza
de la tecnología. Ante este fenómeno,
Lev Manovich (2017, 3-4), comentaba lo siguient=
e:
Se utiliza [Inteligencia Artificial] para diseñar
moda, logos, música, comerciales de TV
y su trabajo en otros géneros de la industria
cultural está en crecimiento. Pero por ahora, expertos humanos
típicamente toman=
las decisiones finales
o realizan todo un traba=
jo de
producción basado en ideas y
medios audiovisuales generados por computadoras.
Con este argumento podemos afirmar que la postproducción
requiere de un equipo, y la inteligencia artificial también necesita recibir un manejo adecuado de una o
varias personas más para que sea utilizada de manera óptima. Los equipos humanos
relacionados a los efectos de video en producción y
postproducción, se encuentran <=
/span>en
aprendizaje constante para conocer el manejo apropiado de Inteligencia
Artificial, con la finalidad de acoplar ambos
conocimientos en uno solo. Por =
lo
tanto, no podemos decir que el trabajo de postproducción digital
esté siendo reemplazado por la inteligencia artificial, ya que
aún se necesita de la mano humana para conseguir resultados satisfactorios. Aunque la AI ofrezca
numerosos beneficios en la postproducción, el potencial lado negativ=
o a considerar
es el reemplazo de los trabajos humanos, ya que la
automatización puede llevar a menores oportunidades laborales para técnicos y edi=
tores
tradicionales.
Relacionado a esto, podemos indagar
en el toque humano que se vincula
con la edición d=
e videos,
no solo a nivel cinemático, también en=
el
ámbito cotidiano y publicitario. En torno a esto, el Instituto de
multimedia, animación y =
efectos visuales,
MAAC Amritsar (2023),
menciona en un artículo que, algo importante que aun falla
en el contenido generado por AI, es que esta no puede imitar=
las
decisiones imaginativas, innovadoras y creativas que puede generar un humano
guiado por su disfrute y noción.
También se menciona la
colaboración intima entre un cliente, administrador o simplemente creador de contenido
en torno a sus necesidades, es decir que el lado humano es quien adapta y
personaliza el contenido
a la imaginación proyectada, incluso
si esta se consigue con AI. Por lo tanto, este elemento
es indispensable cuando se trata de adaptabilidad de contenido, y es algo que solo el lado humano l=
ogra
generar.
Aun
así, el riesgo de la dependencia en herramientas de AI podría
interferir con la creatividad
ya que los creadores<=
/span> de contenido
se inclinan más por los algoritmos para tomar decisiones. De la misma forma, una limitante de la AI es que la inversión en estas herramientas puede variar en torno a precios, dejando de lado la oportunidad de crecimiento para creadores y agencias más pequeñas con recursos
limitados. Aunque la AI tenga un gran potencial para la edición de video, hay que tomar en cuenta los aspectos negativos a
través de la ética de normas, regulaciones y todas las innovaciones crecientes par=
a asegurarnos de que la AI puede
mantenerse como un aspecto plenamente positivo en el cambio de la industria.
3.2&=
nbsp;
=
El uso de la =
inteligencia artificial en productos audiovisuales
El cine es un arte que aún se considera nuevo.
Desde su nacimiento hasta la actualidad, el cine ha evolucionado en gran medida y, por ende, sigue en
constante cambio y crecimiento. El cine evoluciona junto a los avances tecnológicos, y ha sabido aco=
plarse
a ellos para simplificar su creación. A lo largo de los años,=
los
efectos visuales en la postproducción de cine se han ido cambiando para conseguir cada vez una exposición más realista de las obras que las incluyen. Iniciando desd=
e Ilusiones Ópticas, Multi Exposiciones y diferentes cortes
en el mismo montaje<=
span
style=3D'letter-spacing:-.35pt'> para que
las obras expresen realismo. De a poco el cine fue adaptándose a la
digitalización hasta convertirla en parte fundamental de la creación audiovisual.
La integración de la AI en la edición de video representa un cambio de paradigma, desvaneciendo fronteras entre<=
span
style=3D'letter-spacing:2.0pt'> la capacidad humana y el poder
computacional. Los procesos de edición tradicionales, en un inicio
considerados novedosos, luego
laboriosos y que consumían mucho tiempo, ahora experimentan una
transformación rápida a =
través de las innovaciones generadas por la AI. Estos sistemas pueden comprender e interpretar el contenido visual
con una precisión notable, lo que les permite tomar decisiones
informadas sobre el ritmo, la composición y los elementos de narración. Además, r=
efinan continuamente su comprensi&oac=
ute;n de la estética cinematográfica,=
allanando el camino para soluciones de edición cada vez más sofisticadas. =
A medida
que este límite tecnológico se expande,
el panorama creativo
está listo para una evolución adicional, inaug=
urando una era donde los límites de la imaginación son redefinidos por la colaboración fusionada entre la
visión humana y la inteligencia artificial.
El uso de la inteligencia artifici=
al es
una realidad que no irá en retroceso, puesto que abrazar la AI en la=
postproducción no se trata so=
lo de
“estar al pie” de la tecnología, sino también de
desbloquear nuevos niveles de <=
span
style=3D'letter-spacing:-.1pt'>innovación y eficiencia en el mundo evolutivo de la producción de medios. Relacionado a esto, Lorena Ramírez (2024), de IEBS, comparte la siguiente
información:
Los informes han demostrado que más del 80 % del tráfic=
o en
línea es tráfico de video , y una cantidad cada vez mayor de personas lo prefieren a=
otras
formas de contenido en línea, como texto e imágenes. La
mayoría de los creadores de contenido confían en las redes
sociales para llegar a su público,
y el contenido de video
brinda un alcance más orgánico =
que otros tipos. Sin embargo, el vídeo ha sido tradicionalmente, un modelo lento y costoso
de producir.
Es por esto que la inteligencia
artificial otorga facilidad y un cambio de perspectiva en torno al contenido
que se genera en la actualidad.
Brinda mucha más facilidad para la creación de contenido y trae muchos beneficios a la discusión. En torno a la experiencia del marketing<=
span
style=3D'letter-spacing:-.35pt'> en redes sociales, la AI aumenta
el enganche de la audiencia y a su vez
incrementa la efectividad de las estrategias de marketing y
comunicación.
3.3&=
nbsp;
=
Softwares con AI para uso =
en postproducción
Los softwares que utilizan AI han revolucionado el panorama en cuanto a la edición de video, ofreciendo muchas herramien=
tas
que amplían el proceso y elevan la cualidad de la creación de
contenido. Mientras la Inteligencia Artificial evoluciona, el futuro de la edición de videos promete
mucha más eficiencia, creatividad y poder narrativo. Esta capacidad abre un mundo
de capacidades creativas, permitiendo a<=
span
style=3D'letter-spacing:-.45pt'> los editores manipular archivos con facilidad y generar narrativas visuales
inmersivas que cautivan a la audiencia, mientras se mantiene la coherencia<=
/span> y el
realismo, o la
intención creativa.
Los editores de video actualmente se encuentran<=
span
style=3D'letter-spacing:-.15pt'> familiarizados con softwares<=
span
style=3D'letter-spacing:-.15pt'> de edición como Adobe Premiere =
Pro, Davinci =
Resolve =
, Final
Cut Pro , entre
otros. Aunque estos
programas manejan inteligencia artificial den=
tro de sus herramientas,
existen otros programas de edición que brindan cierta facilidad al
momento de generar contenido más
inmediato.
•
Figura 1 . Inicio
de pantalla de CapCut .
•
Wonder Dynamics. Esta es una plataforma de postproducci&=
oacute;n que integra AI avanzada en el proceso
de edición. Como editor de video, WD ofrece un r=
ango
alto de funciones destinadas a mejorar la experiencia de la edición =
en torno al CGI (computer =
generated image y VFX. Trabajos que tomarían mucha
preproducción, s=
e reducen
a =
clicks y elecciones
para que sean realizadas con alta calidad, y menos tiempo de
postproducción, gracias a la Inteligencia Artificial. El sistema detecta automáticamente el tra=
bajo
del actor con base en un simple archivo de video y cuenta
con gran variedad de templates =
=
<=
/p>
Figura 2. Templates
de uso =
libre
en Wonder =
Dynamics .
•
Figura 3 .
Proceso de edición de =
video
en InVideo
•
Figura 4 . Nota: panta=
lla
inicial al abrir Kaiber .
•
Figura 5 . Página inicial de DomoAI .=
•
Eleven=
LABS .
Es una herramienta avanzada de generación de voz impulsada por inteligenc=
ia artificial que se especial=
iza en
la creación de narraciones de alta calidad. Utilizando tecnolog&iacu=
te;a
de síntesis de voz de última generación,
ElevenLABS =
produce voces naturales y expresi=
vas a
partir de texto, ofreciendo una solución ideal para videos, audiolibros, podcasts y
más. Su capacidad para replicar entonaciones y emociones humanas hace
que las narraciones sean convin=
centes
y atractivas (Figura 6).
Figura 6 . Herramientas de ElevenLABS =
.
4.
Metodología Para la realización de este
proyecto, se utiliza el método de investigación-acción=
, ya
que dentro del mismo se valida<=
span
style=3D'letter-spacing:-.25pt'> el uso de la Inteligencia Artificial den=
tro de la postproducción como herramienta complementaria. Por medio de esta metodología, se abord=
a este
concepto a través de la observación, la práctica y el
aprendizaje. Dentro del mundo del arte en la actualidad, existe un gran conflicto en cuanto a qué cosas
dejan de ser arte si no consiguen la intervenci&o=
acute;n
humana. El enfoque de este proyecto es encontrar un equilibrio entre el uso=
de
Inteligencia Artificial y el ar=
te que
conlleva realizar el trabajo de postproducción, estableciendo un man=
ejo
cooperativo y utilizando las he=
rramientas de forma intelectual, para así=
; conseguir trabajos satis=
factorios y ver los softwares de AI como nuevas herramientas de postproducció=
n.
Con un paradigma interpretativista ,
se planea comprender la generación del fenómeno conocido como=
Inteligencia Artificial y la intención del mismo en su creación. Esta investigaci&o=
acute;n se realizará con la participación de un postproductor , por medio d=
e una
observación participante, en la que el observado realizará un
proyecto de postproducció=
;n
junto a las nuevas herramientas vinculadas a la AI. El objetivo final es
triangular el método de =
participación con la metodologí=
;a
general, para conocer la practicidad que puede o no otorgar la AI como
herramienta más
en este proceso de trabajo. Junto a la información otorgada por el observado en cuanto a su experiencia en torno a la dinámica empleada, se
conseguirá una conclusión en donde el debate encuentre un pun=
to
medio.
5. Desarrollo 5.=
1 Generación del producto creativo
Para emplear la metodología
referida, se compartirá al participante las siguientes directrices, =
con
las que se formará una
historia corta. Las directrices establecidas son las siguientes:
• Crea una historia corta de 30 segundos con el título “Creación=
de contenido: Un viaje en el tiempo”.
• Utiliza corrección de colores para detallar las distintas fases del video.
• Agrega un personaje
que cambie
su apariencia
adecuándolo a las
fases del video.
• Emplea
efectos, tr=
ansiciones
y demás
cosas qu=
e consideres
que au=
menten
la narrativa =
visual.
• Detalla tu tiempo de edición.
• Enlista las herramientas utilizadas y para qué fue cada una de ellas.
Con esta guía, se planea ge=
nerar
una historia corta en donde se utilicen las distintas técnicas de
edición, tanto clá=
;sicas como actuales con AI, en la que se pueda
comparar resultados y a su vez, compartir la experiencia=
en torno a lo realizado. Las herramientas bas=
es de
edición deben ser las que los editores utilizan de forma cotidiana e=
n su entorno laboral o personal.
5.2&=
nbsp;
=
Posibilidades Creativas
La AI otorga muchas posibilidades =
en
torno a la rapidez y sencillez con la que se puede generar el contenido. En este caso, el siguiente video es realizado plenamente por A=
I, con
una de las plataformas investigadas dentro de
este artículo. Con la edición automatizada y<=
span
style=3D'letter-spacing:-.3pt'> a base de prompts contenido es generado en menos de dos minutos,
consiguiendo un contenido educativo y bien escrito, sonorizado y empleando diferentes recursos de imagen (Figura 7).
&nbs=
p;
Figura 7. AI: The future
of Content Creation.
Captura de pantalla de video hecho totalmente con AI (Jheimy <=
span
style=3D'letter-spacing:-.4pt'> Jironza ,=
2024)
Por otro lado, aprender de AI nos =
abre
muchas posibilidades creativas ya que con la cantidad de herramientas que podemos encontrar
en desarrollo, se facilita la creación de diferentes dinamismos al contenido generado.
Desde videos interactivo=
s,
hasta un sin límite de oportunidades visuales, además, el pro=
ceso
de creación puede llegar a reducirse
en tiempos ya que la AI también aporta como un medio de
inspiración en torno a una idea generada y descrita. =
El lado negativo
a las posibilidades =
creativas, es que actualmente muchas herrami=
entas que otorgan alta calidad, se encuentran en baja demanda y, por ende, el producto consigue un precio más elevado que no es accesible para todo creador de contenido.
De la misma forma, el uso de prompts es a=
lgo
aun novedoso que no se maneja con la eficiencia adecuada para conseguir los resultados que el crea=
dor de
contenido requiera, ante esto es importante poder establecer una estructura para que el contenido gen=
erado
sea el esperado sin demasiadas pruebas de por medio y así conseguir<=
span
style=3D'letter-spacing:2.0pt'> agilizar el tiempo de creació=
n, en
lugar de pasar horas generando prompts
Como ejemplo, las siguientes
imágenes fueron generadas con AI, con el mismo =
prompt o comando, y aunque se
mantenga una idea en concreto, las imágenes demuestran diferencias
claras entre sí (Figura 8). Al igual que con un editor de video, las posibilidades de generar el contenido
son infinitas, y aunque los productos se realicen con rapidez y eficacia,
no consiguen una estética fija, aun así, estas permiten<=
span
style=3D'letter-spacing:-.5pt'> ser utilizadas como base para colocar el lado emocional, atractivo y completo que
consigue la intervención humana.
Figura 8 . Robots
versus Humanos. Nota: el prompt <=
span
style=3D'letter-spacing:-.1pt'> utilizado
fue:
A video editor
fighting with a robot with artificial intelligence for tools used in video editing, 3d cinematic versión.
5.3&=
nbsp;
=
Comparativas visuales
Exi=
sten grandes diferencias en los acabados realizados por la intervenci&oa=
cute;n de la AI y la intervenci&oa=
cute;n humana =
dentro de la postproducc=
ión, desde
los detalles pequeños en imág=
enes hasta
los cortes realizados en montaje, e incluso las elecciones en torno a lo creativo. El siguiente video,
realizado con AI (Jheimy <=
span
class=3DSpellE>Jironza, 2024, 0:30)
como herramienta de apoyo, representa las capacidades=
que
se pueden explotar a nivel creativo en torno a la postproducción con=
Inteligencia Artificial.
El contenido audiovisual fue realizado por Christian Peñaloza, director y mente creativa de N5 Studio . Estudiante de CINE en la universidad de Cuenca, actualmente realiza
cortometrajes y productos audiovisuales para su propia agencia de marketing. Utiliza herramientas distintas para su
proceso de edición, y en el siguiente video realizado para este artículo, emple&oac=
ute;
todos sus conocimientos de la mano de la Inteligencia Artificial junto a
contenido de su pertenencia.
Entre
las herramientas utilizadas, se destacan las siguientes. El recorte automático en softwares de edición, sirve como
una herramienta óptima que aligera el tiempo de postproducció=
n,
aunque no es perfecta ni 100% precisa,=
cumple una función que tardaría
mucho tiempo en ser producida (Figura 9). Y animaciones que antes
tomarían meses en=
ser realizadas, ahora
resultan sencillas e inmediatas, manejando la esté=
tica que el creativo
decida, con la facilidad de la AI, con solo un video de muestra (Figuras 10 y 11).
Figura 9. Herramienta
de recorte automático utilizada en CapCut .
Figura 10 . Animación en DomoAI .
Figura 11. =
Otra
animación en DomoAI .
Debe decirse que, aunque no cumpla con una precisión exacta, aligera<=
span
style=3D'letter-spacing:-.45pt'> mucho el trabajo
de los postproductores , y a su vez, sirve como una base para realizar
grandes proyectos, con menos tiempo invertido y resultados satisfactorios. Y a su vez, dentro del video utiliza ElevenLabs
herramienta para realizar
la voz en off, la cual fue clonada de una publicidad ya realizada por su productora, y el guion
hecho con la ayuda de ChatGPT contenido visual
fue tomado de producciones anteriores, por lo t=
anto,
el trabajo para realizar este proyecto, tomó unas dos horas que, en =
caso de no utilizar las diferentes herram=
ientas
de AI, hubiera tardado entre dos semanas a un mes, contando desde la creación del guion hasta el diseño de personajes, el proceso creativo,
la animación de los mismos,
entre otras cosas.
6.
Conclusiones La Inteligencia=
Artificial revoluciona el proceso de edició=
n de video para los postproductor=
es en general; simplifican tareas complejas y a su vez, aumentan
las capacidades creativas. Las herramient=
as modernas
automatizan procesos tediosos en el área de la
postproducción, ofrecen efectos avanzados y asistencia en el proceso=
de
creación de videos
profesionales con esfuerzo mínimo a comparación del proceso a=
hora
llamado tradicional. Las herramientas =
estudiadas en este artículo demuestran una<=
span
style=3D'letter-spacing:-.4pt'> parte de cómo se utiliza la AI para la postproducción audiovisual digital. =
Wonder Dynamics utiliza la AI para automatizar<=
/span> la animación de personajes y efectos visuales, permitiendo integrar CGI a esce=
nas de live-action de forma aparentemente casual. CapCut subtitulado automático, remover fondos,=
efectos
visuales, entre otras cosas, convirtiéndola en una herramienta muy prác=
tica para la creación de contenido en redes sociales. InVideo =
edición a base de templates ,=
lo cual permite una producción rápida =
de
videos. Kaiber=
transforma imágenes
estáticas en historias visuales dinámicas. DomoAI la productividad con la detección rápida =
de escenas.
ElevenL=
abs =
vocieovers
alta calidad, y posee alta tecnología de clonación de voz, y genera voces en base a textos.
Todos estos procesos
de postproducción=
sin AI requieren de mucho dinero y mucho ti=
empo
de inversión.
Las herramientas de edición que utilizan AI democratizan la producción, porque reducen la curva de aprendizaje y permiten optimizar el tiempo de
edición, así los creadores se enfocan en el proceso de contar
mejores historias, o plenamente
enfocarse en el público al que va dirigido el contenido. Esta
accesibilidad permite más creatividad y
diversidad, porque abre paso a más individuos y a negocios
pequeños, a la producción de videos de alta calidad.
La AI está evo=
lucionando en todas las ramas tecnológicas; lo importante es aprender a utilizarla como una herramienta de apoyo, y
así permitir que las posibilidades creativas, en este caso, se expan=
dan.
Referencias =
bibliog=
ráficas
=
Amritsar, M.=
(2023,
23 octubre). T=
he Impact
of AI on Video Editing:
Will AI Replace Video<=
span
style=3D'letter-spacing:-.2pt'> Editors?
Medium=
. Recuperado de: https:/=
/ shorturl.at/ymg48
Chow ,
Pei-Sze (julio
del 20=
20).
Ghost in<=
/span> the=
(Ho=
llywood) mac=
hine: Eme=
rgent app=
lications of<=
/span> art=
ificial int=
elligence in<=
/span> the=
fil=
m ind=
ustry.
Mediarep.org .
Recuperado de:
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bae-8e86-c02cc28ac964
Dhillon, S.<=
span
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Will Augment Human Creativity in Film Production. Variety . Recuperado de: https://v=
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m-and-video-production-1235672659/
Hernández, <=
/span>G. (2015).
Efectos visuales. Desarrollo y Evoluci&oacut=
e;n a lo largo
de la historia del Cine. Trabajo final de Grado.
Universidad Polité=
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de Valencia, Escuela
Politécnica Superior de Gandía, España. Recuperado de:=
https://goo.su/9YSgFJG
Horton, A. (21 de junio del 2023). Marvel Faces Backlash
over AI-Generated opening
credits. The Guardian . Recuperado de: https://<=
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Jironza Hidalgo, J. (24 de abril, 2024). AI: Th=
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i.invideo.io/ watch /3c3HKfeP5XY
Ji=
ronza
Hidalgo, J. (1=
5
de mayo, =
2024).
Creación de=
Contenido: Un=
viaje en=
el tiempo, =
Tesis
Jheimy =
Jironza , =
Film
IA N5 =
Studio.
Yo=
utube .
Recuperado <=
/span>de:
https://youtu.be/vCCdotC0KD0
Manovich , L. (octubre del 2017). A=
utomating aesthetics artificial intel=
ligence and image culture. Manovich . Recuperado de: https://<=
/u> goo.su /pk8z
Ramírez, L. (2024, 15 febrero). ¿Cómo crear videos con=
Inteligencia Artificial? Thinkin=
g For Innovation . Recu=
perado de: https:// shorturl.at/6pvdp
Root. (2022, 27 julio).
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has evolved from Moviola to AI & Machine Learning.
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DeepWord . Recuperado de: https://=
shorturl.at/b5JXr
Team ,
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I-generated content
for video editing
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AICont=
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Reseña curricular
Jheimy Jironza <=
span
lang=3DES style=3D'font-size:7.5pt;mso-bidi-font-size:11.0pt;line-height:12=
2%;
mso-font-width:105%'>Hidalgo ob=
tuvo una Licenciatura en Cine de la Universidad Católica =
Santiago de Guayaquil, y posee asimismo
una Maestría en
Postproducción Digital Audiovisual en la Escuela Superior
Politécnica del Litoral. Sus intereses investigativos se centran en la optimización=
de
los procesos de postproducción y efectos visuales, dedicándos=
e a
explorar las mejores prá=
cticas
para cine y redes sociales.
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