Expressive 2017: The Joint Symposium on Computational Aesthetics (CAe), Sketch-Based Interfaces and Modeling (SBIM) and Non-Photorealistic Animation and Rendering (NPAR)
A single registration for Expressive 2017 includes all three tracks (CAe, NPAR and SBIM)
|Dates:||July 29–30, 2017|
|Location:||Los Angeles, California (co-located with Siggraph 2017)|
|Papers submission deadline:||April 10, 2017 deadline extended to April 17 (abstract due April 11)|
|Acceptance notification:||May 8, 2017|
|Papers Camera-ready deadline:||June 5, 2017|
All deadlines are at 23:59:59 UTC/GMT
Expressive fuses three symposia centered on expressive aspects of computer graphics.
Computational Aesthetics (CAe) integrates the bridging aspects of computer science, philosophy, psychology, and the fine, applied & performing arts. CAe investigates both tools to enhance the expressiveness of fine and applied arts, as well as theoretical approaches that further our understanding of aesthetic evaluation, perception and meaning.
Non-Photorealistic Animation and Rendering (NPAR) investigates computational techniques for visual communication. Such techniques usually focuses on imagery and motion which is expressive, rather than photorealistic, although they may incorporate realistic elements.
Sketch-Based Interfaces and Modeling (SBIM) focuses on the exploration of models, algorithms, and technologies for efficient sketch-based interfaces. It investigates the classification and recognition of hand-drawn shapes, and ways of using these techniques for creating or editing digital models, text, mathematics or 3D shapes.
Each paper submission should be designated by the authors as belonging to at least one of the three tracks. Paper submissions are invited across the broad range of areas covered by Expressive. We welcome papers in several categories:
- Research: new algorithms, scientific studies, analysis, or data (i.e., traditional academic papers). These must contain novel results that make a substantive contribution to the field.
- Production: candid discussion of the process of creating a work (e.g., film, image, game) or art tool (e.g., paint or CAD program, software library). We are equally interested in papers on the use of existing techniques combined in novel ways, or applying them in a new or unusual context.
- Meta: statements about research that do not contain new results, e.g.: grand challenges, position papers, evaluation standards, surveys, and primers on art / aesthetics / psychophysics for a computer science audience. We welcome papers that discuss the challenges of bridging computational expression across disciplines.
Topics include, but are not limited to:
- Analysis and modeling of creative behavior (AI, A-life)
- Simulation of natural media, traditional styles, and novel artistic styles
- Analysis of image style and saliency (paintings, photographs, others)
- Visualization techniques
- Simplification and abstraction techniques (e.g. sketching, indication)
- Empirically-based metrics of aesthetic attributes
- Applied visual perception
- Interaction techniques (e.g. sketch, gestural, multi-touch, multi-modal)
- Sketch-parsing, classification and recognition
- Novel interfaces for art creation, modeling, control, sketch input, etc.
- Study designs and methodologies for evaluating and validating sketch-based systems, aesthetic metrics, visual communication systems, etc.
- Advanced rendering techniques (e.g. volumetric, GPU, mobile, multi-modal)
- Applications in special domains: Medicine, Geology, Biology, Sociology, etc.
- Sketch-based information retrieval
- Stylistic or aesthetic aspects of character animation and simulated physics
- Accounts of real productions (e.g., animated films, digital art) or applications in software products (e.g., modeling, visualization, presentation software)
- Visual composition
- Design, rendering, and evaluation of layouts for text and presentation graphics
- Style transfer
- Temporal and spatial coherence
- Aesthetic evaluation and stylistic rendering of visual effects such as motion blur, depth of field, and lighting
- Non-traditional camera models
All work must be previously unpublished. Production and Meta papers need not contain original research or results, but must make a substantive contribution to the knowledge in the field. Papers should be 8–10 pages in length (excluding citations). Papers longer than 10 pages must make a very significant contribution.
Paper submission is electronic using the EasyChair system.
For detailed instructions to submit papers, posters, videos and other materials, please view the submission instructions.
Bruce Gooch, Texas A&M University, USA
Yotam Gingold, George Mason University, USA
Holger Winnemoeller, Adobe Systems, Inc., USA
Lyn Bartram, Simon Fraser University, Canada
Ergun Akleman, Texas A&M University, USA