Scale and Object Aware Image Thumbnailing

In this paper we study effective approaches to create thumbnails from input images. Since a thumbnail will eventually be presented to and perceived by a human visual system, a thumbnailing algorithm should consider several important issues in the process including thumbnail scale, object completenes...

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Vydáno v:International journal of computer vision Ročník 104; číslo 2; s. 135 - 153
Hlavní autoři: Sun, Jin, Ling, Haibin
Médium: Journal Article
Jazyk:angličtina
Vydáno: Boston Springer US 01.09.2013
Springer
Springer Nature B.V
Témata:
Accuracy
Algorithms
Analysis
Applied sciences
Artificial Intelligence
Biological and medical sciences
Completeness
Computer Imaging
Computer Science
Computer science; control theory; systems
Datasets
Exact sciences and technology
Eye and associated structures. Visual pathways and centers. Vision
Fundamental and applied biological sciences. Psychology
Human
Image Processing and Computer Vision
Image processing systems
Medical sciences
Methods
Orthopedic surgery
Pattern Recognition
Pattern Recognition and Graphics
Pattern recognition. Digital image processing. Computational geometry
Perceptions
Qualitative research
Searching
Smoothness
Studies
Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases
Vertebrates: nervous system and sense organs
Vision
Visual acuity
Warpage
Warping
United States > US
Seam carving
Thumbnail cropping
Image thumbnailing
Contrast sensitivity function
Image retargeting
Thin plate spline
Computer vision
Image processing
Warping
Thin plate
Visual acuity
Modeling
Information browsing
Spline approximation
Visual system
Local structure
Efficiency
User interface
Preference
Sensorial perception
Service oriented
User behavior
ISSN:0920-5691, 1573-1405
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Popis
Shrnutí:In this paper we study effective approaches to create thumbnails from input images. Since a thumbnail will eventually be presented to and perceived by a human visual system, a thumbnailing algorithm should consider several important issues in the process including thumbnail scale, object completeness and local structure smoothness. To address these issues, we propose a new thumbnailing framework named scale and object aware thumbnailing (SOAT), which contains two components focusing respectively on saliency measure and thumbnail warping/cropping. The first component, named scale and object aware saliency (SOAS), models the human perception of thumbnails using visual acuity theory, which takes thumbnail scale into consideration. In addition, the “objectness” measurement (Alexe et al. 2012 ) is integrated in SOAS, as to preserve object completeness. The second component uses SOAS to guide the thumbnailing based on either retargeting or cropping. The retargeting version uses the thin-plate-spline (TPS) warping for preserving structure smoothness. An extended seam carving algorithm is developed to sample control points used for TPS model estimation. The cropping version searches a cropping window that balances the spatial efficiency and SOAS-based content preservation. The proposed algorithms were evaluated in three experiments: a quantitative user study to evaluate thumbnail browsing efficiency, a quantitative user study for subject preference, and a qualitative study on the RetargetMe dataset. In all studies, SOAT demonstrated promising performances in comparison with state-of-the-art algorithms.
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ISSN:0920-5691
1573-1405
DOI:10.1007/s11263-013-0618-z