V4Ann: Representation and Interlinking of Atom-Based Annotations of Digital Content

Abstract

There is a great potential in creative industries, such as architecture and video game design, for re-using and re-purposing of digital content. Paintings, archival footage, documentaries, movies, reviews or catalogues, and various other forms of artwork can serve as sources of inspiration and design direction towards innovative designs and new concepts. In this paper, we present V4Ann, an ontology-based framework for semantically representing, aggregating and combining annotations (atoms) coming from visual and textual analysis of digital content. The aim is to structure and link data in such a way so as to facilitate the systematic process, integration and organisation of information and establish innovative value chains and end-user applications. The framework is part of the V4Design platform that aims to re-use and re-purpose existing heterogeneous multimedia content by semantically enriching and transforming assets into a 3D representation, so as to inspire and support the design, architecture, as well as 3D and VR game industries.