실제 이미지에서 현저성과 맥락 정보의 영향을 고려한 시각 탐색 모델Visual Search Model based on Saliency and Scene-Context in Real-World Images
- Other Titles
- Visual Search Model based on Saliency and Scene-Context in Real-World Images
- Authors
- 최윤형; 오형석; 명노해
- Issue Date
- 2015
- Publisher
- 대한산업공학회
- Keywords
- Visual search model; Saliency; Scene-context; Real-world images; ACT-R
- Citation
- 대한산업공학회지, v.41, no.4, pp.389 - 395
- Indexed
- KCI
- Journal Title
- 대한산업공학회지
- Volume
- 41
- Number
- 4
- Start Page
- 389
- End Page
- 395
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/95573
- DOI
- 10.7232/JKIIE.2015.41.4.389
- ISSN
- 1225-0988
- Abstract
- According to much research on cognitive science, the impact of the scene-context on human visual search in real-world images could be as important as the saliency. Therefore, this study proposed a method of Adaptive Control of Thought-Rational (ACT-R) modeling of visual search in real-world images, based on saliency and scene-context. The modeling method was developed by using the utility system of ACT-R to describe influences of saliency and scene-context in real-world images. Then, the validation of the model was performed, by comparing the data of the model and eye-tracking data from experiments in simple task in which subjects search some targets in indoor bedroom images. Results show that model data was quite well fit with eye-tracking data. In conclusion, the method of modeling human visual search proposed in this study should be used, in order to provide an accurate model of human performance in visual search tasks in real-world images.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > School of Industrial and Management Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.