Video painting with space-time-varying style parameters Public Deposited

http://ir.library.oregonstate.edu/concern/technical_reports/2514nr33f

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • Abstract—Artists use different means of stylization to control the focus on different objects in the scene. This allows them to portray complex meaning and achieve certain artistic effects. Most prior work on painterly rendering of videos, however, uses only a single painting style, with fixed global parameters, irrespective of objects and their layout in the images. This often leads to inadequate artistic control. Moreover, brush stroke orientation is typically assumed to follow an everywhere continuous directional field. In this paper, we propose a video painting system that accounts for the spatial support of objects in the images or video, and uses this information to specify style parameters and stroke orientation for painterly rendering. Since objects occupy distinct image locations and move relatively smoothly from one video frame to another, our object-based painterly rendering approach is characterized by style parameters that coherently vary in space and time. Spatiotemporal coherence of varying style parameters enables more artistic freedom, such as emphasis/deemphasis, increase or decrease of contrast, exaggeration or trivialization of different objects in the scene in a temporally coherent fashion. Given a video that has been segmented into temporally moving or deforming objects as well as the background, the user can specify style parameters, such as stroke color, size, and opacity for each target object in some keyframes. Due to spatiotemporal coherence of the video object segmentation, this information can be propagated to the target object in all other frames. The user may easily reselect new objects and their style parameters in any frame, which will be then automatically propagated to the entire video. Similarly, brush stroke orientations can be specified per object, and thus can be spatially discontinuous. In addition, brush stroke orientations can be also be specified for a target object in some keyframes and propagated to other frames. Unlike style parameters, brush stroke orientations are transported by taking into account the underlying object’s movement such as translation and rotation. To generate the painterly processed video, we have developed a novel image-based renderer that supports object-based style parameters and orientation fields. Our renderer is inspired by flow visualization techniques. Given a frame, it first places the seeds of brush strokes such as solid disks on the canvas. The canvas is then advected according to the brush stroke orientation field. By iteratively blending the advected image with the original canvas of stroke seeds, we can interactively obtain a painted image in which contrast between neighboring strokes is less obvious than traditional renderers in which each curved strokes are constructed explicitly. This helps alleviate the flickering effect often associated with video painting. The utility of our approach is demonstrated through a number of artistic operations on images and videos resulting in their high-quality, multi-style rendering.
Resource Type
Date Available
Date Issued
Series
Keyword
Rights Statement
Language
Replaces
Additional Information
  • description.provenance : Approved for entry into archive by Linda Kathman(linda.kathman@oregonstate.edu) on 2009-06-24T21:54:02Z (GMT) No. of bitstreams: 1 paintingpaper.pdf: 2998400 bytes, checksum: d3aba264ac7e7978f1e18454098ce4c1 (MD5)
  • description.provenance : Submitted by Eugene Zhang (zhange@eecs.oregonstate.edu) on 2009-06-24T21:50:11Z No. of bitstreams: 1 paintingpaper.pdf: 2998400 bytes, checksum: d3aba264ac7e7978f1e18454098ce4c1 (MD5)
  • description.provenance : Made available in DSpace on 2009-06-24T21:54:02Z (GMT). No. of bitstreams: 1 paintingpaper.pdf: 2998400 bytes, checksum: d3aba264ac7e7978f1e18454098ce4c1 (MD5)

Relationships

In Administrative Set:
Last modified: 12/05/2017

Downloadable Content

Download PDF
Citations:

EndNote | Zotero | Mendeley

Items