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Chih-Yu Yan

dblp:62/7459 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 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
1 paper
Computational photography and imaging · 50% Image and video processing · 50%
Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational photography and imaging › depth of field
depth-of-field rendering
0.112009
Interactive background blurring · ACM Multimedia 2009
Image and video processing
image matting
0.112009
Interactive background blurring · ACM Multimedia 2009
Interaction techniques and input › interactive graphics
interactive image editing
0.012009
Interactive background blurring · ACM Multimedia 2009

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

lazy snapping · 0.2defocusing · 0.2alpha matting · 0.2
YearPublicationVenuePosition
2009 Interactive background blurring
abstract
Photographers usually take a shallow focus image to highlight the main subject in the picture and blur the distractions in the background region. Softening these distractions can not only produce special vision effect but also keep the privacy for people in the background. In this work, we develop a brand new defocusing algorithm to simulate the blur effect in the background caused by a wide aperture camera. We also design an easy-to-use interactive interface for user to segment foreground/background objects, adjust the depth of field for images, and assign camera settings. Techniques including lazy snapping, alpha matting, depth information generation and defocusing are integrated in the system. The experimental results show the effectiveness of the proposed methodology.
Chih-Yu Yan, Min-Chun Hu 0001, Ja-Ling Wu
ACM Multimedia1