Fagundes, Diego Macedo de. 2017. AudioVisual Collage: A computational Framework For Audiovisual Composition and Computational Art. Doctoral thesis, Goldsmiths, University of London [Thesis]

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Abstract or Description

This thesis proposes a novel system for audiovisual composition called AudioVisual Collage. It consists of a screen-based interactive system, which contains a series of algorithms responsible for automating the tasks of image segmentation, inpainting, virtual camera motion, 3D lighting, visual transitions and visual motion generated from data extracted from audio files.

With the merging of theory and practice, this research project investigates new possibilities, new approaches, and alternative examples of what can be explored in the field of computational art so as to offer a computational framework embodying a set of conceptual principles for digital fine arts practice. The set of algorithms that constitute the AudioVisual Collage framework embody a collection of digital design techniques and artistic concepts created through an iterative, collaborative process with other artists, in which I acted as the sole computational practitioner. The two collaborative projects presented in this thesis, Surround Sounds and Interactive Art Gallery, are part of an on-going creation of case studies, which have allowed me to better understand a series of approaches and methods, leading to the design of a framework to successfully communicate and apply specific creative ideas.

AudioVisual Collage is a framework that allows other artists and designers to create their own audiovisual aesthetic experiences, generating rich media outcomes constructed by software in real time. That is, the system incorporates approaches from traditional media, such as sound recording and cinema, in order to generate new computational media based on a set of clear design principles. It also proposes an art vocabulary for audiovisual composition in the digital domain, which aims to deliver something unique in terms of the inherent potential of digital work that is not possessed by other media.

AudioVisual Collage demonstrates an approach for manipulating the temporal structure and spatial organisation of visual elements so as to reflect their content, and also, a method for combining visual artworks and sound in the creation of algorithmic screen based aesthetic experiences. Equally important, it is in itself a statement of what could be possibly developed in terms of algorithms for audiovisual composition in the filed of computational art.

Item Type:	Thesis (Doctoral)
Identification Number (DOI):	https://doi.org/10.25602/GOLD.00022000
Keywords:	Audiovisual Composition, Computational Art
Departments, Centres and Research Units:	Computing
Date:	30 September 2017
Item ID:	22000
Date Deposited:	18 Oct 2017 14:25
Last Modified:	08 Sep 2022 15:32
URI:	https://research.gold.ac.uk/id/eprint/22000

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