Stereoscopic Thumbnail Creation via Efficient Stereo Saliency Detection

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...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics 2017-08, Vol.23 (8), p.2014-2027
Main Authors: Wang, Wenguan, Shen, Jianbing, Yu, Yizhou, Ma, Kwan-Liu
Format: Article
Language:English
Subjects:
Aspect ratio
Computer science
Detection algorithms
Display devices
Distortion
Estimation
image cropping
Image detection
Image edge detection
Salience
State of the art
Stereo image processing
stereo saliency
Stereoscopic thumbnails
Stereoscopy
Thumbnail icons
Visualization
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Summary: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.
ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2016.2600594