人工智能对早期电影影像的提升。意象理论中连续性与非连续性的新美学

IF 0.5 2区 艺术学 0 ART
Luis Navarrete-Cardero, Carlos Ramírez-Moreno
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引用次数: 0

摘要

一个活跃的用户社区正在使用基于机器学习的软件来处理早期电影的图像。这种涉及人工智能领域的实践改变了这些图像的物质性,从而产生了一种变异的图像。本研究通过定性研究设计,基于解释学的方法,旨在通过从塑造原始电影图像特异性的理论参数中观察新图像,从而界定新图像的性质。我们从电影影像理论的三个历史关注点出发,研究了这种变异的影像在美学领域、在其与现实的意蕴关系以及在其自身本体论方面所产生的干扰。令人惊讶的是,新的突变呈现出与电影图像理论传统的微弱突破,在轻微的异议和其假设的明显连续性之间摇摆不定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Upscaling of the Early Cinema Image through Artificial Intelligence. A New Aesthetics between Continuity and Dissent in Image Theory
An active community of users is manipulating the image of early cinema using Machine Learning-based software. This practice, encompassed in the field of Artificial Intelligence, has transformed the materiality of these images, generating a mutated image as a result. Through a qualitative research design, based on a hermeneutic approach, this research aims to delimit the nature of this new image by observing it from the theoretical parameters that have shaped the specificity of the original filmic image. Starting from three historical concerns of film image theory, we have studied the interferences that this mutated image produces in the field of aesthetics, in its signifying relationship with reality and in its own ontology. Surprisingly, the new mutation presents a meagre break with the theoretical tradition of the cinematic image, oscillating between a slight dissidence and a marked continuity of its postulates.
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来源期刊
CiteScore
0.90
自引率
20.00%
发文量
93
审稿时长
24 weeks
期刊介绍: Arte, Individuo y Sociedad (ISSN 1131-5598, ISSN-e 1988-2408) is a quarterly journal that publishes articles and research studies on the visual arts and how they relate to the social, historical, political and cultural context from different scientific fields, particularly creative and artistic education. In addition to scientific articles, bibliographical reviews are also included.
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