Mosaic Animations from Video Inputs

Gomes, Rafael Beserra; Souza, Tiago S.; Carvalho, Bruno M.

doi:10.1007/978-3-540-77129-6_12

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…The second artistic style described here is mosaicing. In a previous work (Gomes et al, 2007b), we have implemented techniques for performing mosaics using different initial tile distributions, such as the Centroidal Voronoi Diagrams (CVDs), similarly to the works of Hausner (2001) and Faustino and Figueiredo (2005) for static mosaics, or the Distance Transform Matrices (DTM), as done by Di Blasi and Gallo (2005) to distribute quadrilateral tiles, all designed for generating static mosaics. After computing the DTM of an image, we can compute the gradient and the level line matrices, which determine the tile orientations and positions, respectively.…”

Section: The Animvideo Rendering Toolmentioning

confidence: 99%

Producing stylized videos using the AnimVideo rendering tool

Gomes¹,

Oliveira²,

Britto-Neto³

et al. 2009

Int J Imaging Syst Tech

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Stylized rendering is the process of generating images or videos that can have the visual appeal of pieces of art, expressing the visual and emotional characteristics of artistic styles. A major problem in stylizing videos is the absence of temporal coherence, something that results in flickering of the structural drawing elements (such as brush strokes or curves), also known as swimming. This article describes the AnimVideo rendering tool that was developed for stylizing videos with temporal coherence. The temporal coherence is achieved by first fully segmenting the input video with a fast fuzzy segmentation algorithm that uses hybrid color spaces and motion information. The result of the segmentation algorithm is used to constrain the result of an optical flow algorithm, given as dense optical flow maps that are then used to correctly move, remove, or add structural drawing elements. The combination of these two methods is referred to as constrained optical flow, and we also provide the option of initializing the optical flow computation with displacement maps computed by homographies that map objects in adjacent frames. Also, we briefly describe some stylized rendering methods that were implemented in the tool. Finally, experimental results are shown, including snapshots of the tool's interface and illustrative examples of the produced renderings that validates the proposed techniques.

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Section: The Animvideo Rendering Toolmentioning

confidence: 99%

Producing stylized videos using the AnimVideo rendering tool

Gomes¹,

Oliveira²,

Britto-Neto³

et al. 2009

Int J Imaging Syst Tech

Self Cite

View full text Add to dashboard Cite

show abstract

“…This frequency approach is improved by the use of patterns that replace some points and partially reconstruct the edges of the image. It is another way to use the frequency approach to improve the rendering of edges and this without increasing their size, but rather by suggesting their local orientation according to the surround shape elements [Gomes et al 2007].…”

Section: Introductionmentioning

confidence: 99%

Video Stippling

Houit

Nielsen

2011

Advanced Concepts for Intelligent Vision Systems

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In this paper, we consider rendering color videos using a non-photo-realistic art form technique commonly called stippling. Stippling is the art of rendering images using point sets, possibly with various attributes like sizes, elementary shapes, and colors. Producing nice stippling is attractive not only for the sake of image depiction but also because it yields a compact vectorial format for storing the semantic information of media. Moreover, stippling is by construction easily tunable to various device resolutions without suffering from bitmap sampling artifacts when resizing. The underlying core technique for stippling images is to compute a centroidal Voronoi tessellation on a well-designed underlying density. This density relates to the image content, and is used to compute a weighted Voronoi diagram. By considering videos as image sequences and initializing properly the stippling of one image by the result of its predecessor, one avoids undesirable point flickering artifacts and can produce stippled videos that nevertheless still exhibit noticeable artifacts. To overcome this, our method improves over the naive scheme by considering dynamic point creation and deletion according to the current scene semantic complexity, and show how to effectively vectorize video while adjusting for both color and contrast characteristics. Furthermore, we explain how to produce high quality stippled "videos" (eg., fully dynamic spatio-temporal point sets) for media containing various fading effects, like quick motions of objects or progressive shot changes. We report on practical performances of our implementation, and present several stippled video results rendered on-the-fly using our viewer that allows both spatio-temporal dynamic rescaling (eg., upscale vectorially frame rate).

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Mosaic Animations from Video Inputs

Cited by 2 publications

References 21 publications

Producing stylized videos using the AnimVideo rendering tool

Producing stylized videos using the AnimVideo rendering tool

Video Stippling

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