Virtual agents for the production of linear animations

Abstract

In the last decade, a number of techniques from the new media practices have contributed to innovate the traditional production of entertainment, through the modularization and the automation of a number of phases. This paper proposes a novel approach to the automatic generation of character animations that draws inspiration from the techniques for the construction of the virtual agents. The pipeline for the production of animated scenes is based on the mapping between the authorial description of characters' behavior and the actual animation data. The application context is the production of linear (non interactive) animations. Given the specification of a set of high level goals, the implemented system generates the animation through the generation of a sequence of actions, the translation of actions into animation commands, the display of an animated scene through a 3D graphic engine. The pipeline and the system are validated onto the production of a short animated movie, with the participation of a commercial company.

Audience-oriented Aesthetic and Creative Research on Animated Films Based on Visual Communication Design

“…Literature [20] analyzed the high resolution of images in animated films for the requirements of display bandwidth, and animated films need to focus on the application of compression encoder in the pursuit of picture sophistication, prompting animated films to be more three-dimensional pictures. Literature [21] discusses the method of automatic generation of character animation in new media technology, and the method can realize the animation data mapping between multiple scenes, which promotes the innovative development of animated films. Literature [22] analyzes the algorithms and design theme packages that need to be applied in the process of carrying out animation film design, and through the design of the supply can realize the production of all kinds of animation forms, and after the completion of the production of the animation can be more convenient and quick to realize the release.…”

Spatial Agents for Geological Surface Modelling

“…Agent applications are extensively used in the entertainment industry (Damiano et al 2013); computer games for sports and battle simulation (Zuparic et al 2017, Guo andSprague 2016), landscape and land use design, management and visualization (Tieskens et al 2017, Valbuena et al 2010; Urban planning (Motieyan.and Mesgari 2018, Levy et al 2016; crowd modelling for public transport and community infrastructure design (Dickinson et al 2019, Hoy andShalaby 2016); Climate change and adaptation modelling (Amadou et al 2018); Architecture and Engineering design Li 2017, Van Dyke Parunak et al 2001) as well as hazard response and real-time three-dimensional mapping (Schlögl et al 2019, Bürkle 2009; transportation and surveillance using semi-automated or fully-autonomous vehicles such as drones and automobiles (Fagnant.and Kockelman 2014, de Swarte et al 2019 (Azam et al 2015) to name a few examples.…”

Spatial agents for geological surface modelling

“…de Kemp: Spatial agents for geological surface modelling their roots in the development of cellular automata and complexity theory, which has been able to model complex natural and artificial systems with simple neighbourhood algorithms (Cervelle and Formenti, 2009;Wolfram, 1994;Von Neumann, 1966). Agent applications are extensively used in the entertainment industry (Damiano et al, 2013); in computer games for sports and battle simulation (Zuparic et al, 2017;Guo and Sprague, 2016), landscape and land use design, management, and visualization (Tieskens et al, 2017;Valbuena et al, 2010); urban planning (Motieyan and Mesgari, 2018;Levy et al, 2016); crowd modelling for public transport and community infrastructure design (Dickinson et al, 2019;Hoy and Shalaby, 2016); climate change and adaptation modelling (Amadou et al, 2018); architecture and engineering design (Guo and Li, 2017;Parunak et al, 2001) as well as hazard response and real-time 3D mapping (Schlögl et al, 2019;Bürkle, 2009); and transportation and surveillance using semi-automated or fully autonomous vehicles, such as drones and automobiles (Fagnant and Kockelman, 2014;de Swarte et al, 2019). Agent-based modelling has been used in the Earth sciences for spatial-temporal, more process-oriented modelling, such as solar storm and flare activity (Schatten, 2013), groundwater modelling (Jaxa-Rozen et al, 2019), and earthquake prediction (Azam et al, 2015) to name a few examples.…”