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Javier Villegas

dblp:06/7459 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 4 · 3 first-authorHuman-computer interaction and ubiquitous computing · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Visualization and visual analytics · 44% Visual content generation and editing · 44% Computer animation and physical simulation · 13%
Human-computer interaction and pervasive computing
1 paper
Immersive interaction · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visual content generation and editing
video manipulation
0.212014
Analysis/synthesis approaches for creatively processing video signals · ACM Multimedia 2014
Visualization and visual analytics › scientific visualization
astronomical visualization
0.112009
The "we are stardust" installation · ACM Multimedia 2009
Visualization and visual analytics
scientific visualization
0.112009
The "we are stardust" installation · ACM Multimedia 2009
Immersive interaction › artistic expression
interactive installation
0.112009
The "we are stardust" installation · ACM Multimedia 2009
Computer animation and physical simulation
animation generation
0.112014
Analysis/synthesis approaches for creatively processing video signals · ACM Multimedia 2014
Computational science and engineering
astronomy
0.012009
The "we are stardust" installation · ACM Multimedia 2009

Methods — techniques the papers use, named apart from their topics

projection mapping · 0.3infrared imaging · 0.3rendering · 0.2interpolation · 0.2feature matching · 0.2
YearPublicationVenuePosition
2014 Analysis/synthesis approaches for creatively processing video signals
abstract
This paper explores methods for the creative manipulation of video signals and the generation of animations through a process of analysis and synthesis. Our approach involves four distinct steps, and different creative outputs based on video inputs can be obtained by choosing different alternatives at each of the steps. First, we decide which features to extract from an input video sequence. Next, we choose a matching strategy to associate the features between a pair of video frames. Then, we choose a way to interpolate between corresponding features within these frames. Finally, we decide how to render these elements when resynthesizing the signal. We illustrate our approach with a range of different examples, including video manipulation experiments, animations, and real-time multimedia installations.
Javier Villegas, Angus G. Forbes
ACM Multimedia1
2011 Generating Time-Coherent Animations from Video Data
Javier Villegas, George Legrady
ArtsIT1
2009 The Autonomous Duck: Exploring the Possibilities of a Markov Chain Model in Animation
Javier Villegas
ArtsIT1
2009 The "we are stardust" installation
abstract
"We Are Stardust"" is a digital media interactive installation consisting of two large projected visualizations and a ceiling mounted full rotational FLIR systems infrared imaging camera. Both projections in the installation map the sequence and locations of sky observations by the Spitzer Space Telescope, an infrared temperature sensing instrument managed by the NASA Spitzer Science Center. The intent of the project is to visually map the schedule of scientific observations: What celestial bodies were looked at, when, for how long, and by whom. This document describes the installation and depicts the engineering work behind the design and construction of the experience.
George Legrady, Javier Villegas, Andrés E. Burbano Valdes
ACM Multimedia2