Title
Efficient multi-constrained optimization for example-based synthesis
Abstract
Digital media content comes in a wide variety of modalities and representations. Although they have obvious semantic and structural difference, many of them can be unwrapped into a one-dimensional parameter domain, e.g., time, one spatial dimension. Novel content can then be generated in this parameter domain by computing sequences of elements that are optimal according to an objective to be minimized and in addition satisfy a number of user-defined constraints. Examples for this type of content generation task are audio synthesis, human motion synthesis or architectural texture synthesis. In that work, we present a generalized algorithm for this type of content generation task. We demonstrate the potential of our technique on a selection of content creation tasks, namely the generation of extended animation sequences from motion capture libraries and the example-based synthesis of architectural geometry such as buildings and street blocks.
Year
DOI
Venue
2015
10.1007/s00371-015-1114-y
The Visual Computer
Keywords
Field
DocType
Example-based synthesis, Data-driven animation, Motion synthesis, Building layouts
Motion capture,Computer vision,Computer science,Generalized algorithm,Artificial intelligence,Content creation,Animation,Architectural geometry,Digital media,Texture synthesis,Constrained optimization
Journal
Volume
Issue
ISSN
31
6-8
1432-2315
Citations 
PageRank 
References 
0
0.34
23
Authors
5
Name
Order
Citations
PageRank
Stefan Hartmann100.68
Elena Trunz200.68
Björn Krüger324111.26
Reinhard Klein4133797.71
Matthias B. Hullin540031.66