Journal
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
Volume 23, Issue 8, Pages 2014-2027Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TVCG.2016.2600594
Keywords
Stereoscopic thumbnails; stereo saliency; image cropping
Categories
Funding
- National Basic Research Program of China (973 Program) [2013CB328805]
- National Natural Science Foundation of China [61272359]
- Fok Ying-Tong Education Foundation for Young Teachers
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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.
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