Abstract
In this paper, we propose a framework for automatically producing thumbnails from stereo image pairs. It has two components focusing respectively on stereo saliency detection and stereo thumbnail generation. The first component analyzes stereo saliency through various saliency stimuli, stereoscopic perception and the relevance between two stereo views. The second component uses stereo saliency to guide stereo thumbnail generation. We develop two types of thumbnail generation methods, both changing image size automatically. The first method is called content-persistent cropping (CPC), which aims at cropping stereo images for display devices with different aspect ratios while preserving as much content as possible. The second method is an object-Aware cropping method (OAC) for generating the smallest possible thumbnail pair that retains the most important content only and facilitates quick visual exploration of a stereo image database. Quantitative and qualitative experimental evaluations demonstrate promising performance of our thumbnail generation methods in comparison to state-of-The-Art algorithms.
| Original language | English (US) |
|---|---|
| Article number | 7544591 |
| Pages (from-to) | 2014-2027 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Visualization and Computer Graphics |
| Volume | 23 |
| Issue number | 8 |
| DOIs | |
| State | Published - Aug 1 2017 |
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Keywords
- Image cropping
- Stereo saliency
- Stereoscopic thumbnails
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design
Cite this
Stereoscopic thumbnail creation via efficient stereo saliency detection. / Wang, Wenguan; Shen, Jianbing; Yu, Yizhou; Ma, Kwan-Liu.
In: IEEE Transactions on Visualization and Computer Graphics, Vol. 23, No. 8, 7544591, 01.08.2017, p. 2014-2027.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Stereoscopic thumbnail creation via efficient stereo saliency detection
AU - Wang, Wenguan
AU - Shen, Jianbing
AU - Yu, Yizhou
AU - Ma, Kwan-Liu
PY - 2017/8/1
Y1 - 2017/8/1
N2 - In this paper, we propose a framework for automatically producing thumbnails from stereo image pairs. It has two components focusing respectively on stereo saliency detection and stereo thumbnail generation. The first component analyzes stereo saliency through various saliency stimuli, stereoscopic perception and the relevance between two stereo views. The second component uses stereo saliency to guide stereo thumbnail generation. We develop two types of thumbnail generation methods, both changing image size automatically. The first method is called content-persistent cropping (CPC), which aims at cropping stereo images for display devices with different aspect ratios while preserving as much content as possible. The second method is an object-Aware cropping method (OAC) for generating the smallest possible thumbnail pair that retains the most important content only and facilitates quick visual exploration of a stereo image database. Quantitative and qualitative experimental evaluations demonstrate promising performance of our thumbnail generation methods in comparison to state-of-The-Art algorithms.
AB - In this paper, we propose a framework for automatically producing thumbnails from stereo image pairs. It has two components focusing respectively on stereo saliency detection and stereo thumbnail generation. The first component analyzes stereo saliency through various saliency stimuli, stereoscopic perception and the relevance between two stereo views. The second component uses stereo saliency to guide stereo thumbnail generation. We develop two types of thumbnail generation methods, both changing image size automatically. The first method is called content-persistent cropping (CPC), which aims at cropping stereo images for display devices with different aspect ratios while preserving as much content as possible. The second method is an object-Aware cropping method (OAC) for generating the smallest possible thumbnail pair that retains the most important content only and facilitates quick visual exploration of a stereo image database. Quantitative and qualitative experimental evaluations demonstrate promising performance of our thumbnail generation methods in comparison to state-of-The-Art algorithms.
KW - Image cropping
KW - Stereo saliency
KW - Stereoscopic thumbnails
UR - http://www.scopus.com/inward/record.url?scp=85028396016&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028396016&partnerID=8YFLogxK
U2 - 10.1109/TVCG.2016.2600594
DO - 10.1109/TVCG.2016.2600594
M3 - Article
VL - 23
SP - 2014
EP - 2027
JO - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
SN - 1077-2626
IS - 8
M1 - 7544591
ER -