CompAesth 17: Workshop on Computational Aesthetics

Permanent URI for this collection

https://diglib7.eg.org/handle/10.2312/2631839

Expressive 2017

Joint Symposium of
Computational Aesthetics (CAe)
Non-Photorealistic Animation and Rendering (NPAR)
Sketch-Based Interfaces and Modeling (SBIM)

Los Angeles, California | June 29 – 30, 2017

Front-and Backmatter
Brushes
FlowBrush: Optical Flow Art
[full paper Image] [meta data Image]
Kuno Kurzhals, Michael Stoll, Andrés Bruhn, and Daniel Weiskopf
3D (The Third Dimension)
Polygons, Points, or Voxels? Stimuli Selection for Crowdsourcing Aesthetics Preferences of 3D Shape Pairs
[full paper Image] [meta data Image]
Kapil Dev, Nicolas Villar, and Manfred Lau
Soft Shadow Art
[full paper Image] [meta data Image]
Sehee Min, Jaedong Lee, Jungdam Won, and Jehee Lee
Mapping, Patterns, and Order
Organized Order in Ornamentation
[full paper Image] [meta data Image]
Lena Gieseke, Paul Asente, Jingwan Lu, and Martin Fuchs
Abstraction
Detail and Color Enhancement in Photo Stylization
[full paper Image] [meta data Image]
Rosa Azami and David Mould
Image BCC (benchmarking, coloring, and clustering)
Context-aware Clustering and Assessment of Photo Collections
[full paper Image] [meta data Image]
Dmitry Kuzovkin, Tania Pouli, Rémi Cozot, Olivier Le Meur, Jonathan Kervec, and Kadi Bouatouch
General Submissions (Abstracts)
A taxonomy of motion applications in data visualization
[full paper Image] [meta data Image]
Irene de la Torre-Arenas and Pedro Cruz
Shading with Painterly Filtered Layers: A Technique to Obtain Painterly Portrait Animations
[full paper Image] [meta data Image]
Saif Castaneda and Ergun Akleman
Modeling Go: A mobile sketch-based modeling system for extracting objects
[full paper Image] [meta data Image]
Chun-An Lai and Pei-Ying Chiang
Characterizing User Behavior for Speech and Sketch-based Video Retrieval Interfaces
[full paper Image] [meta data Image]
Ozan Can Altıok and Tev k Metin Sezgin
Sketch and Shade: An interactive assistant for sketching and shading
[full paper Image] [meta data Image]
Amal Dev Parakkat, Sarang Anil Joshi, Uday Bondi Pundarikaksha, and Ramanathan Muthuganapathy

BibTeX (CompAesth 17: Workshop on Computational Aesthetics)
@inproceedings{
not assigned,

booktitle = {
Computational Aesthetics},

editor = {
Holger Winnemoeller and Lyn Bartram
},
title = {{
Front- and Backmatter: Computational Aesthetics 2017}},

author = {
Holger Winnemoeller
 and 
Lyn Bartram
},
year = {
2017},

publisher = {
Association for Computing Machinery, Inc (ACM)},


ISSN = {1816-0859},
ISBN = {978-1-4503-5080-8},

DOI = {
not assigned}

}
@inproceedings{
10.1145:3092912.3092918,

booktitle = {
Computational Aesthetics},

editor = {
Holger Winnemoeller and Lyn Bartram
},
title = {{
Polygons, Points, or Voxels? Stimuli Selection for Crowdsourcing Aesthetics Preferences of 3D Shape Pairs}},

author = {
Dev, Kapil
 and 
Villar, Nicolas
 and 
Lau, Manfred
},
year = {
2017},

publisher = {
Association for Computing Machinery, Inc (ACM)},


ISSN = {1816-0859},
ISBN = {978-1-4503-5080-8},

DOI = {
10.1145/3092912.3092918}

}
@inproceedings{
10.1145:3092912.3092914,

booktitle = {
Computational Aesthetics},

editor = {
Holger Winnemoeller and Lyn Bartram
},
title = {{
FlowBrush: Optical Flow Art}},

author = {
Kurzhals, Kuno
 and 
Stoll, Michael
 and 
Bruhn, Andrés
 and 
Weiskopf, Daniel
},
year = {
2017},

publisher = {
Association for Computing Machinery, Inc (ACM)},


ISSN = {1816-0859},
ISBN = {978-1-4503-5080-8},

DOI = {
10.1145/3092912.3092914}

}
@inproceedings{
10.1145:3092912.3092915,

booktitle = {
Computational Aesthetics},

editor = {
Holger Winnemoeller and Lyn Bartram
},
title = {{
Soft Shadow Art}},

author = {
Min, Sehee
 and 
Lee, Jaedong
 and 
Won, Jungdam
 and 
Lee, Jehee
},
year = {
2017},

publisher = {
Association for Computing Machinery, Inc (ACM)},


ISSN = {1816-0859},
ISBN = {978-1-4503-5080-8},

DOI = {
10.1145/3092912.3092915}

}
@inproceedings{
10.1145:3092912.3092913,

booktitle = {
Computational Aesthetics},

editor = {
Holger Winnemoeller and Lyn Bartram
},
title = {{
Organized Order in Ornamentation}},

author = {
Gieseke, Lena
 and 
Asente, Paul
 and 
Lu, Jingwan
 and 
Fuchs, Martin
},
year = {
2017},

publisher = {
Association for Computing Machinery, Inc (ACM)},


ISSN = {1816-0859},
ISBN = {978-1-4503-5080-8},

DOI = {
10.1145/3092912.3092913}

}
@inproceedings{
10.1145:3092912.3092917,

booktitle = {
Computational Aesthetics},

editor = {
Holger Winnemoeller and Lyn Bartram
},
title = {{
Detail and Color Enhancement in Photo Stylization}},

author = {
Azami, Rosa
 and 
Mould, David
},
year = {
2017},

publisher = {
Association for Computing Machinery, Inc (ACM)},


ISSN = {1816-0859},
ISBN = {978-1-4503-5080-8},

DOI = {
10.1145/3092912.3092917}

}
@inproceedings{
10.1145:3092912.3092916,

booktitle = {
Computational Aesthetics},

editor = {
Holger Winnemoeller and Lyn Bartram
},
title = {{
Context-aware Clustering and Assessment of Photo Collections}},

author = {
Kuzovkin, Dmitry
 and 
Pouli, Tania
 and 
Cozot, Rémi
 and 
Meur, Olivier Le
 and 
Kervec, Jonathan
 and 
Bouatouch, Kadi
},
year = {
2017},

publisher = {
Association for Computing Machinery, Inc (ACM)},


ISSN = {1816-0859},
ISBN = {978-1-4503-5080-8},

DOI = {
10.1145/3092912.3092916}

}
@inproceedings{
10.1145:3122791.3122798,

booktitle = {
Computational Aesthetics},

editor = {
Holger Winnemoeller and Lyn Bartram
},
title = {{
A taxonomy of motion applications in data visualization}},

author = {
Torre-Arenas, Irene de la
 and 
Cruz, Pedro
},
year = {
2017},

publisher = {
Association for Computing Machinery, Inc (ACM)},


ISSN = {1816-0859},
ISBN = {978-1-4503-5080-8},

DOI = {
10.1145/3122791.3122798}

}
@inproceedings{
10.1145:3122791.3122800,

booktitle = {
Computational Aesthetics},

editor = {
Holger Winnemoeller and Lyn Bartram
},
title = {{
Shading with Painterly Filtered Layers: A Technique to Obtain Painterly Portrait Animations}},

author = {
Castaneda, Saif
 and 
Akleman, Ergun
},
year = {
2017},

publisher = {
Association for Computing Machinery, Inc (ACM)},


ISSN = {1816-0859},
ISBN = {978-1-4503-5080-8},

DOI = {
10.1145/3122791.3122800}

}
@inproceedings{
10.1145:3122791.3122797,

booktitle = {
Computational Aesthetics},

editor = {
Holger Winnemoeller and Lyn Bartram
},
title = {{
Modeling Go: A mobile sketch-based modeling system for extracting objects}},

author = {
Lai, Chun-An
 and 
Chiang, Pei-Ying
},
year = {
2017},

publisher = {
Association for Computing Machinery, Inc (ACM)},


ISSN = {1816-0859},
ISBN = {978-1-4503-5080-8},

DOI = {
10.1145/3122791.3122797}

}
@inproceedings{
10.1145:3122791.3122801,

booktitle = {
Computational Aesthetics},

editor = {
Holger Winnemoeller and Lyn Bartram
},
title = {{
Characterizing User Behavior for Speech and Sketch-based Video Retrieval Interfaces}},

author = {
Altıok, Ozan Can
 and 
Sezgin, Tev k Metin
},
year = {
2017},

publisher = {
Association for Computing Machinery, Inc (ACM)},


ISSN = {1816-0859},
ISBN = {978-1-4503-5080-8},

DOI = {
10.1145/3122791.3122801}

}
@inproceedings{
10.1145:3122791.3122799,

booktitle = {
Computational Aesthetics},

editor = {
Holger Winnemoeller and Lyn Bartram
},
title = {{
Sketch and Shade: An interactive assistant for sketching and shading}},

author = {
Parakkat, Amal Dev
 and 
Joshi, Sarang Anil
 and 
Pundarikaksha, Uday Bondi
 and 
Muthuganapathy, Ramanathan
},
year = {
2017},

publisher = {
Association for Computing Machinery, Inc (ACM)},


ISSN = {1816-0859},
ISBN = {978-1-4503-5080-8},

DOI = {
10.1145/3122791.3122799}

}

Browse

Recent Submissions

Now showing 1 - 12 of 12
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    Front- and Backmatter: Computational Aesthetics 2017
    (Association for Computing Machinery, Inc (ACM), 2017) Holger Winnemoeller; Lyn Bartram; Holger Winnemoeller and Lyn Bartram
  • Thumbnail Image
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    Polygons, Points, or Voxels? Stimuli Selection for Crowdsourcing Aesthetics Preferences of 3D Shape Pairs
    (Association for Computing Machinery, Inc (ACM), 2017) Dev, Kapil; Villar, Nicolas; Lau, Manfred; Holger Winnemoeller and Lyn Bartram
    Visual aesthetics is one of the fundamental perceptual properties of 3D shapes. Since the perception of shape aesthetics can be subjective, we take a data-driven approach and consider the human preferences of shape aesthetics. Previous work has considered a pairwise data collection approach, in which pairs of 3D shapes are shown to human participants and they are asked to choose one from each pair that they perceive to be more aesthetic. In this research, we study the question of whether the 3D modeling representation (e.g. polygon, points, or voxels) affects how people perceive the aesthetics of shape pairs. We find surprising results: for example the single-view and multi-view of shape pairs lead to similar user aesthetics choices; and a relatively low resolution of points or voxels is comparable to polygon meshes as they do not lead to significantly different user aesthetics choices. Our results has implications towards the data collection process of pairwise aesthetics data and the further use of such data in shape modeling problems.
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    FlowBrush: Optical Flow Art
    (Association for Computing Machinery, Inc (ACM), 2017) Kurzhals, Kuno; Stoll, Michael; Bruhn, Andrés; Weiskopf, Daniel; Holger Winnemoeller and Lyn Bartram
    The depiction of motion in static representations has a long tradition in art and science alike. Often, motion is depicted by spatiotemporal summarizations that try to preserve as much information of the original dynamic content as possible. In our approach to depicting motion, we remove the spatial constraints and generate new content steered by the temporal changes in motion. Applying particle steering in combination with the dynamic color palette of the video content, we can create a wide range of different image styles. With recorded videos, or by live interaction with a webcam, one can influence the resulting image. We provide a set of intuitive parameters to affect the style of the result, the final image content depends on the video input. Based on a collection of results gathered from test users, we discuss example styles that can be achieved with FlowBrush. In general, our approach provides an open sandbox for creative people to generate aesthetic images from any video content they apply.
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    Soft Shadow Art
    (Association for Computing Machinery, Inc (ACM), 2017) Min, Sehee; Lee, Jaedong; Won, Jungdam; Lee, Jehee; Holger Winnemoeller and Lyn Bartram
    Shadow art is a form of sculptural art in which the con guration of lights and sculptures cast 2D shadows for artistic e ect. Previous computational methods for the creation of shadow art assumes a single point light that casts a bitonal shadow with sharp boundary. e goal of our study is to generate grayscale shadows using an area light (or an array of point lights) and multiple layers of occluder cells. e area light source casts so shadows consisting of penumbra and umbra. e penumbra is the region in which only a portion of the light source is obscured by the occluders and the umbra is the region where the light sources are completely blocked by the occluders. Th e key challenge is to nd the arrangement of the occluders such that each pixel in the shadow region gathers light from the partially occluded light source to yield a desired tone level. e problem can be formulated as combinatorial optimization with many binary variables. We present a stochastic algorithm that converges quickly to the target shadow image. Our algorithm generalizes easily to deal with arbitrary lighting and geometry setups. We demonstrate the potential of our system with a number of tonal images and the fabrication of artistic ornaments that cast grayscale shadows.
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    Organized Order in Ornamentation
    (Association for Computing Machinery, Inc (ACM), 2017) Gieseke, Lena; Asente, Paul; Lu, Jingwan; Fuchs, Martin; Holger Winnemoeller and Lyn Bartram
    Decorative ornamentation involves a careful balance between accent and order. Existing techniques leave artists either with tedious manual processes or the uncontrolled automatic generation of rather homogeneous patterns that lack creatively-placed visual highlights. We present a method to close this gap, offering the control and quality of manual creation, and the effciency and accuracy of computation. At the core of our system, customizable and modularly combinable element placement functions fill a space automatically under global design constraints. We provide a set of example placement functions that implement order based on design principles for ornamentation such as balanced element distribution and symmetry. To create structural hierarchies and to guide an ornament to the space it fills, we allow artists to direct the connectivity of elements with drawn strokes. Artists can also draw guides to create vector fields, which organize the ornament along streamlines. Path planning automatically routes around obstacles while aligning the ornament to their borders. Our method combines high-level control mechanisms like taking guidance from example images to low-level control like placing single elements as visual accents and making local edits within the computed ornament. By automating tedious tasks and offering familiar input mechanisms like drawing, we enable artists to focus on the creative intent.
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    Detail and Color Enhancement in Photo Stylization
    (Association for Computing Machinery, Inc (ACM), 2017) Azami, Rosa; Mould, David; Holger Winnemoeller and Lyn Bartram
    Abstraction in non-photorealistic rendering reduces the amount of detail, yet non-essential details can improve visual interest and thus make an image more appealing. In this paper, we propose an automatic system for photo manipulation that brightens an image and alters the detail levels. The process first applies an edgepreserving abstraction process to an input image, then uses the residual to reintroduce and exaggerate details in areas near strong edges. At the same time, image regions further from strong edges are brightened. The final result is a lively mixture of abstraction and enhanced detail.
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    Context-aware Clustering and Assessment of Photo Collections
    (Association for Computing Machinery, Inc (ACM), 2017) Kuzovkin, Dmitry; Pouli, Tania; Cozot, Rémi; Meur, Olivier Le; Kervec, Jonathan; Bouatouch, Kadi; Holger Winnemoeller and Lyn Bartram
    To ensure that all important moments of an event are represented and that challenging scenes are correctly captured, both amateur and professional photographers often opt for taking large quantities of photographs. As such, they are faced with the tedious task of organizing large collections and selecting the best images among similar variants. Automatic methods assisting with this task are based on independent assessment approaches, evaluating each image apart from other images in the collection. However, the overall quality of photo collections can largely vary due to user skills and other factors. In this work, we explore the possibility of contextaware image quality assessment, where the photo context is defined using a clustering approach, and statistics of both the extracted context and the entire photo collection are used to guide identification of low-quality photos. We demonstrate that our method is able to exibly adapt to the nature of processed albums and to facilitate the task of image selection in diverse scenarios.
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    A taxonomy of motion applications in data visualization
    (Association for Computing Machinery, Inc (ACM), 2017) Torre-Arenas, Irene de la; Cruz, Pedro; Holger Winnemoeller and Lyn Bartram
    We propose a new taxonomy that explains the roles of motion in data visualization, focusing especially on their communicative aspects. Our taxonomy clarifies the main axis in how visualization designers can employ motion in data portrayal.
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    Shading with Painterly Filtered Layers: A Technique to Obtain Painterly Portrait Animations
    (Association for Computing Machinery, Inc (ACM), 2017) Castaneda, Saif; Akleman, Ergun; Holger Winnemoeller and Lyn Bartram
    In this manuscript, we describe a process that can be used to create still and/or animated portrait paintings to be shown in Expressive Art Exhibit. Our process consists of two stages: (1) Creation of control textures for a Barycentric shader by using color information gathered from photographs to provide realistic looking skin rendering; (2) Filtering and compositing the layers of images that are obtained by control textures, which correspond to effects such as diffuse, specular and ambient. To demonstrate proof-of-concept, we have created a few rigid body animations of painterly portraits under different lighting conditions.
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    Modeling Go: A mobile sketch-based modeling system for extracting objects
    (Association for Computing Machinery, Inc (ACM), 2017) Lai, Chun-An; Chiang, Pei-Ying; Holger Winnemoeller and Lyn Bartram
    This article presents an easy to use mobile application which allows users to create 3D digital copies of their interested objects anywhere and anytime. An advanced 3-sweep modeling technique is developed to construct 3D primitives not only from generalized cylinder and cuboid, but also objects with symmetrical or non-uniformly scaled profiles. In addition, our system supports the texture and structure refinement which combine results created from multiple source images. The constructed 3D model will be the combination of our 3D primitives. The combined result can preserve more features which may not be seen from a single photo.
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    Characterizing User Behavior for Speech and Sketch-based Video Retrieval Interfaces
    (Association for Computing Machinery, Inc (ACM), 2017) Altıok, Ozan Can; Sezgin, Tev k Metin; Holger Winnemoeller and Lyn Bartram
    From a user interaction perspective, speech and sketching make a good couple for describing motion. Speech allows easy speci cation of content, events and relationships, while sketching brings in spatial expressiveness. Yet, we have insu cient knowledge of how sketching and speech can be used for motion-based video retrieval, because there are no existing retrieval systems that support such interaction. In this paper, we describe a Wizard-of-Oz protocol and a set of tools that we have developed to engage users in a sketch- and speech-based video retrieval task. We report how the tools and the protocol t together using ”retrieval of soccer videos” as a use case scenario. Our so ware is highly customizable, and our protocol is easy to follow. We believe that together they will serve as a convenient and powerful duo for studying a wide range of multi-modal use cases.
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    Sketch and Shade: An interactive assistant for sketching and shading
    (Association for Computing Machinery, Inc (ACM), 2017) Parakkat, Amal Dev; Joshi, Sarang Anil; Pundarikaksha, Uday Bondi; Muthuganapathy, Ramanathan; Holger Winnemoeller and Lyn Bartram
    We present a drawing assistant for sketching and for assisting users in shading a hand drawn sketch. The augmented reality based system uses a sketch made by a professional and uses it to help inexperienced users to do sketching and shading. The input image is converted to a set of points based on simple heuristics for providing a “connect the dots” interface for a user to aid sketching. With the help of a 2.5D mesh generated by our algorithm, the system assists the user by providing information about the colors that can be given in different parts of the sketch. The system was tested with users of different age groups and skill levels, indicating its usefulness.