Department of Computer Science and Engineering
University of Washington
Image Segmentation
This research was partially funded by a gift from the Adobe Corporation.
Project Summary
This work is about the precurser to object recognition: object proposals.
The idea is to find regions in images that are likely to contain objects.
Then these regions can be fed into classifiers for recognition.
People
Publications:
Image Segmentation for Camera Phones
*This research is in collaboration with and funded by a gift from
Nokia Corporation.
Project Summary
Among the many problems in image editing, cutting out an
object is a very important task. Directly applying algorithms
targeted for desktops to mobile phones does not yield
the desired performance and user experience. This project
supports the development of interactive, real-time algorithms
for mobile phone image segmentation.
People
- PI: Linda Shapiro (UW)
- Nokia Collaborators: Yingen Xiong and Kari Pulli
- Student: Dingding (Dee) Liu
Publications:
-
D. Liu, Y. Xiong, K. Pulli, L. Shapiro,
"Estimating Image Segmentation Difficulty,"
International Conference on Machine Learning and Data Mining,
2011.
-
D. Liu, K. Pulli, L. Shapiro, Y. Xiong,
"Fast Interactive Image Segmentation by Discriminative Clustering,"
First ACM International Workshop on Mobile Cloud Media
Computing, 2010.
- D. Liu, Y. Xiong, L. Shapiro, K. Pulli,
"Robust Interactive Image Segmentation with Automatic
Boundary Refinement",
IEEE International Conference on Image Processing, 2010.
- Y. Xiong, D. Liu, K. Pulli,
"Effective Gradient Domain Object Editing on Mobile Devices,"
IEEE 43rd Asilomar Conference on Signals, Systems, and
Computers, 2009.
