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CVPR
2009
IEEE
15 years 5 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
ICCV
2009
IEEE
1331views Computer Vision» more  ICCV 2009»
15 years 3 months ago
I know what you did last summer: object-level auto-annotation of holiday snaps
The state-of-the art in visual object retrieval from large databases allows to search millions of images on the object level. Recently, complementary works have proposed systems ...
Stephan Gammeter, Lukas Bossard, Till Quack, Luc V...
CHI
2009
ACM
14 years 11 months ago
What's "this" you say?: the use of local references on distant displays
This study explores how the design of visual display configurations relates to linguistic expressions. Twenty-five participants performed a series of object identification and nar...
Patti Bao, Darren Gergle
CHI
2009
ACM
14 years 11 months ago
What do you see when you're surfing?: using eye tracking to predict salient regions of web pages
An understanding of how people allocate their visual attention when viewing Web pages is very important for Web authors, interface designers, advertisers and others. Such knowledg...
Georg Buscher, Edward Cutrell, Meredith Ringel Mor...
CHI
2007
ACM
14 years 10 months ago
"Let me show you what i want": engaging individuals with cognitive disabilities and their families in design
In this paper I describe an ongoing multi-stage, participatory design study with individuals with cognitive disabilities and their family caregivers. I use a technology probe to i...
Melissa Dawe