Rethinking authenticity in digital art preservation

In this paper I am discussing the repositioning of traditional conservation concepts of historicity, authenticity and versioning in relation to born digital artworks, upon findings from my research on preservation of computer-based artifacts. Challenges for digital art preservation and previous work in this area are described, followed by an analysis of digital art as a process of components interaction, as performance and in terms of instantiations. The concept of dynamic authenticity is proposed, and it is argued that our approach to digital artworks preservation should be variable and digital object responsive, with a level of variability tolerance to match digital art intrinsic variability and dynamic authenticity

Art and authenticity

My MFA thesis show, After the Last Picture Show, depicted my inquiry into what pictures and images are today. In this thesis, starting from the formalist tradition of fine art photography, I deconstruct photography into elements based on the classical dichotomy of form and content and discuss how the photographic image has dislodged itself from its material base. Subsequently, I question the objective of art in an age in which images are information, and in which information is instantly exchanged. I use authenticity as the guiding light in my art and attempt to confront the doubts that linger in our simulation-based society. Further, I start an inquiry into the relationship between the computer and art. I attempt to provide an observation of the computer in terms of itself as opposed to the more frequent approach of analyzing it as a medium to simulate exisiting tools. I argue that the essence of the computer is abstract, and I describe the conflict between this abstract nature of the computer and the physicality that art demands. Finally, I conclude by describing what I think of authenticity with regards to art

Оцінка якості передавання і комп'ютерна обробка даних образів

The state-of-art of computer vision based on perceptions and data transfers for different pattern domains of information infrastructures is examined. The urgency of a problem is explained by the prompt increase of using the video information and the implementation of intelligence systems. Especially, it is important to estimate the quality, authenticity, and efficiency of transfer and image data processing for recognition and decision making in real time. Future trends in computer vision developments are shown for different application areas

Aligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks

Due to the wide diffusion of JPEG coding standard, the image forensic community has devoted significant attention to the development of double JPEG (DJPEG) compression detectors through the years. The ability of detecting whether an image has been compressed twice provides paramount information toward image authenticity assessment. Given the trend recently gained by convolutional neural networks (CNN) in many computer vision tasks, in this paper we propose to use CNNs for aligned and non-aligned double JPEG compression detection. In particular, we explore the capability of CNNs to capture DJPEG artifacts directly from images. Results show that the proposed CNN-based detectors achieve good performance even with small size images (i.e., 64x64), outperforming state-of-the-art solutions, especially in the non-aligned case. Besides, good results are also achieved in the commonly-recognized challenging case in which the first quality factor is larger than the second one.Comment: Submitted to Journal of Visual Communication and Image Representation (first submission: March 20, 2017; second submission: August 2, 2017

When Ideas Migrate: A Postcolonial Perspective on Biomodd [LBA2]

This paper was completed as part of the Marie Curie Initial Training Network FP7-PEOPLE-2013-ITN, CogNovo, grant number 604764.Biomodd is a global series of art installations in which computer technology and ecology converge. Computer networks built from upcycled computer components are provided with living internal ecosystems. In a symbiotic exchange, plants and algae live alongside electronics and use the latter’s waste heat to thrive. Sensors and robotics provide additional interaction possibilities with the organisms. The first version of the project was completed in the US, while the second version was built in the Philippines. Using a postcolonial stance, we reflect on the challenges involved in translating the project from one context to another. We focus on issues related to heat recycling in the tropics; authenticity and hybridity; obsolescence and the convertibility of capital; cultural sampling, remixing, and appropriation; and structures for social organization. We advance Biomodd as a significant contribution to artscience collaborative initiatives in the global South