Interactive image filtering with multiple levels-of-control on mobile devices

Semmo, Amir; Dürschmid, Tobias; Trapp, Matthias; Klingbeil, Mandy; Döllner, Jürgen; Pasewaldt, Sebastian

doi:10.1145/2999508.2999521

Cited by 15 publications

(6 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of the explored techniques have been devised to stylize a single image [Johan et al 2004;Lü and Chen 2014;Wang et al 2014], but they can still be applied to animations by independently filtering each frame of a video. Low-level art-directed localization of these image-space methods has been successfully incorporated by Semmo et al [2016] using parameter masks. However, since those masks are assigned in image-space, the stylization suffers from spatial and temporal incoherences when in motion.…”

Section: Image-space Methodsmentioning

confidence: 99%

Edge- and substrate-based effects for watercolor stylization

Montesdeoca

Seah

Bénard³

et al. 2017

Proceedings of the Symposium on Non-Photorealistic Animation and Rendering

View full text Add to dashboard Cite

International audienceWe investigate characteristic edge-and substrate-based effects for watercolor stylization. These two fundamental elements of painted art play a significant role in traditional watercolors and highly influence the pigment's behavior and application. Yet a detailed consideration of these specific elements for the stylization of 3D scenes has not been attempted before. Through this investigation, we contribute to the field by presenting ways to emulate two novel effects: dry-brush and gaps & overlaps. By doing so, we also found ways to improve upon well-studied watercolor effects such as edge-darkening and substrate granulation. Finally, we integrated controllable external lighting influences over the watercolorized result, together with other previously researched watercolor effects. These effects are combined through a direct stylization pipeline to produce sophisticated watercolor imagery, which retains spatial coherence in object-space and is locally controllable in real-time

show abstract

Section: Image-space Methodsmentioning

confidence: 99%

Edge- and substrate-based effects for watercolor stylization

Montesdeoca

Seah

Bénard³

et al. 2017

Proceedings of the Symposium on Non-Photorealistic Animation and Rendering

View full text Add to dashboard Cite

show abstract

“…Prior to mapping high-level sensor data events to state changes of abstraction techniques and the application itself, we briefly review the different Level-of-Controls (LOCs) offered by modern, real-time implementation of image and video abstraction techniques (Semmo et al, 2016). In particular, these are:…”

Section: Mapping Level-of-controlsmentioning

confidence: 99%

“…They can be numerical, floating point, natural numbers, or an enumeration values. These parameters can be changed globally, i.e., for every pixel in the image, or locally, i.e., for only a subset of the pixels within the image, usually adjusted with mask painting (Semmo et al, 2016).…”

Section: Mapping Level-of-controlsmentioning

confidence: 99%

Controlling Image-Stylization Techniques using Eye Tracking

Söchting

Trapp

2020

Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Application

Self Cite

View full text Add to dashboard Cite

With the spread of smart phones capable of taking high-resolution photos and the development of high-speed mobile data infrastructure, digital visual media is becoming one of the most important forms of modern communication. With this development, however, also comes a devaluation of images as a media form with the focus becoming the frequency at which visual content is generated instead of the quality of the content. In this work, an interactive system using image-abstraction techniques and an eye tracking sensor is presented, which allows users to experience diverting and dynamic artworks that react to their eye movement. The underlying modular architecture enables a variety of different interaction techniques that share common design principles, making the interface as intuitive as possible. The resulting experience allows users to experience a game-like interaction in which they aim for a reward, the artwork, while being held under constraints, e.g., not blinking. The conscious eye movements that are required by some interaction techniques hint an interesting, possible future extension for this work into the field of relaxation exercises and concentration training.

show abstract

“…Semmo et al . [SRT*16] presented a GPU‐based framework that parametrizes image filters at three levels of control. In addition to traditional methods, image analogies [HJO*01] can also produce pencil drawing results from input images.…”

Section: Related Workmentioning

confidence: 99%

PencilArt: A Chromatic Penciling Style Generation Framework

Gao

Tang

Liang

et al. 2018

Computer Graphics Forum

View full text Add to dashboard Cite

Non‐photorealistic rendering has been an active area of research for decades whereas few of them concentrate on rendering chromatic penciling style. In this paper, we present a framework named as PencilArt for the chromatic penciling style generation from wild photographs. The structural outline and textured map for composing the chromatic pencil drawing are generated, respectively. First, we take advantage of deep neural network to produce the structural outline with proper intensity variation and conciseness. Next, for the textured map, we follow the painting process of artists to adjust the tone of input images to match the luminance histogram and pencil textures of real drawings. Eventually, we evaluate PencilArt via a series of comparisons to previous work, showing that our results better capture the main features of real chromatic pencil drawings and have an improved visual appearance.

show abstract

Interactive image filtering with multiple levels-of-control on mobile devices

Cited by 15 publications

References 30 publications

Edge- and substrate-based effects for watercolor stylization

Edge- and substrate-based effects for watercolor stylization

Controlling Image-Stylization Techniques using Eye Tracking

PencilArt: A Chromatic Penciling Style Generation Framework

Contact Info

Product

Resources

About