Resizing truth through images

Resizing truth through images

Throughout human history, one’s relationship with reality, questions, curiosity and influences; science, philosophy, and art. His research in the art environment has created a new perception of reality. In this process, the human goes through the stages of resizing, abstracting and concretizing his thought.

The perception of reality, which gained a different dimension with the discovery of optical image in the 19th century, was diversified in the light of scientific, philosophical and social developments, and the process of artistic expression reached a complete abstraction of reality and object image.

Resizing truth through images

When the image recording tools used in the determination of the truth in our age are examined in the artistic work environment, the structure of the video suitable for abstraction and research on images and concepts is remarkable. The fact that the video is a flexible environment that can be processed and modeled in infinite shapes allows abstraction and re-concretion, the last stage in the transformation of reality by resizing it, and thus searching for the truth.

In addition, the fact that the video uses elements of the language of cinema’s image; optics, camera use, editing, sound, lighting, image editing, and reconstruction of the relationships between time and space play a role in the creation of a new reality. Therefore, the effectiveness of video art, which develops in a structure intertwined with painting, sculpture, photography, cinema, comes to life in a wide frame.

Within the framework of the personal application studies carried out within the scope of this thesis, the subjective perceptions of reality with the yakın view yani, the lens closest to the perception of “eye ile, the most basic element of photography, cinema and plastic arts, without the modification of the recorded image digitally or electronically. and the results that can be obtained on the basis of associations are examined and new reality situations in which the image is loaded are revealed.

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