A_B_peace & terror etc. The computational aesthetics of love & hate

2009 ◽  
Author(s):  
Peter Crnokrak
Keyword(s):  
Computational Aesthetics

Computational Intelligence Approaches to Computational Aesthetics

2019 ◽  
pp. 81-92
Author(s):  
Erandi Lakshika ◽  
Michael Barlow
Keyword(s):  
Computational Methods ◽  
Computational Intelligence ◽  
Computational Models ◽  
Automatic Generation ◽  
Classification Problems ◽  
Future Directions ◽  
Simple Classification ◽  
Computational Aesthetics

Computational aesthetics is an area of research that attempts to develop computational methods that can perform human-like aesthetic judgements. Aesthetic judgements are often subjective, and as such, the development of computational models of aesthetics is highly challenging. This chapter summarizes the advancements in the area of computational aesthetics and how computational intelligence techniques are applied in art and aesthetics ranging from simple classification problems to more advanced problems such as automatic generation of art artefacts, stories, and simulations. The chapter concludes by summarizing major challenges that need to be addressed, and future directions that need to be undertaken in order to make significant advancements in the area of computational aesthetics and its applications.

Visualization

2012 ◽  
pp. 381-413 ◽  
Author(s):  
Joanna Leng ◽  
Theresa-Marie Rhyne ◽  
Wes Sharrock
Keyword(s):  
Interactive Simulation ◽  
Computational Steering ◽  
Remote Visualization ◽  
The Public ◽  
Research Areas ◽  
Current Trends ◽  
Computational Aesthetics ◽  
Software And Hardware ◽  
Disciplinary Background ◽  
Visualization Systems

This chapter focuses on state of the art at the intersection of visualization and CSE. From understanding current trends it looks to future applications for these technologies. Some background is provided into visualization and its relation with CSE as well as with software and hardware frameworks that visualization systems depend on. Important emerging research areas are identified, including: interactive simulation and computational steering; collaborative, remote visualization and visualization services; VR technologies for visualization; user experience and assessment; teaching and serious gaming; communicating science to the public; ultra-scale visualization; and computational aesthetics. This should present the readers with real possibilities for CSE no matter what their disciplinary background.

An Explorative Study of Virtual Product Placement

2011 ◽  
pp. 122-147
Author(s):  
Chia-Hu Chang ◽  
Ja-Ling Wu
Keyword(s):  
Domain Knowledge ◽  
Design Space ◽  
State Of The Art ◽  
Product Placement ◽  
The State ◽  
Explorative Study ◽  
Advertising Message ◽  
Computational Aesthetics ◽  
The Right ◽  
Virtual Product

With the aid of content-based multimedia analysis, virtual product placement opens up new opportunities for advertisers to effectively monetize the existing videos in an efficient way. In addition, a number of significant and challenging issues are raising accordingly, such as how to less-intrusively insert the contextually relevant advertising message (what) at the right place (where) and the right time (when) with the attractive representation (how) in the videos. In this chapter, domain knowledge in support of delivering and receiving the advertising message is introduced, such as the advertising theory, psychology and computational aesthetics. We briefly review the state of the art techniques for assisting virtual product placement in videos. In addition, we present a framework to serve the virtual spotlighted advertising (ViSA) for virtual product placement and give an explorative study of it. Moreover, observations about the new trend and possible extension in the design space of virtual product placement will also be stated and discussed. We believe that it would inspire the researchers to develop more interesting and applicable multimedia advertising systems for virtual product placement.

scholarly journals Computational Aesthetics: On the Complexity of Computer-Generated Paintings

Leonardo ◽  
2012 ◽  
Vol 45 (3) ◽  
pp. 243-248 ◽  
Author(s):  
Kang Zhang ◽  
Stuart Harrell ◽  
Xin Ji
Keyword(s):  
Visual Arts ◽  
Computer Technology ◽  
Visual Art ◽  
Abstract Painting ◽  
Preliminary Results ◽  
Modern Computer ◽  
Computational Aesthetics ◽  
Future Direction ◽  
Aesthetic Computing ◽  
Modern Computer Technology

This article discusses how visual arts and computer technology could complement and assist each other in new and emerging interdisciplinary areas known as computational aesthetics and aesthetic computing. The authors present examples of computational aesthetics that demonstrate that modern computer technology can generate aesthetic forms of visual art. Several levels of complexity in computerized abstract paintings are discussed and explored. The authors recently experimented with encoding computational rules to automatically generate a particular style of abstract painting in an attempt to explore one of the levels. The preliminary results of this research are presented. A more systematic and grammar-based approach is discussed as a potential future direction of work.

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