PhotoShoot: 使用者輔助ROI標示之線上遊戲
PhotoShoot: A Web-Game for User Assisted ROI Labeling
Date Issued
2006
Date
2006
Author(s)
Cheng, Kai-Yin
DOI
en-US
Abstract
In this thesis, we have developed a web game ─ PhotoShoot. When people play our game, they also help us to locate important areas in photos. These important areas are often called region-of-interest (ROI). Researchers have studied ROI for many years, and tried to retrieve ROI from an image using automatic methods. Lots of algorithms have been proposed, but it is very hard to compare their performance, since there is no common benchmark for comparison. Because our game has already been played by thousands of players, the results can help us to build a ROI ground truth model for each photo. With this ground truth database, we can easily compare these algorithms’ performance. Moreover, by observing the calculated ROI models, we also also draw some conclusions on the ROI prperties. We hope that our database and visualization results can benefit a lot to researchers of ROI, including computer scientists, psychologists and psychophysicists.
Subjects
ROI
遊戲
JAVA
人工智慧
人類注意模型
人類感知
電腦視覺
Region-of-Interest
標記
網路
Game
Artificial Intelligence
Attention Model
Human Perception
Computer Vision
Labeing
Web
Type
other
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