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http://dx.doi.org/10.5909/JBE.2013.18.6.795

Detecting Rectangular Image Regions in a Window Image for 3D Conversion  

Gil, Jong In (Dept. of Computer and Communications Engineering, Kangwon National University)
Lee, Jun Seok (Dept. of Computer and Communications Engineering, Kangwon National University)
Kim, Manbae (Dept. of Computer and Communications Engineering, Kangwon National University)
Publication Information
Journal of Broadcast Engineering / v.18, no.6, 2013 , pp. 795-807 More about this Journal
Abstract
In recent years, 2D-to-3D conversion techniques have gained much attraction. Most of conventional methods focused on natural images such as movie, animation and so forth. However, it is difficult to apply these techniques to window images mixed with text, image, logo, and icon. Also, different depth values of text pixels will cause distortion and a proper 3D image can not be delivered in some situations. To solve this problem, we propose a method to classify a given image into either a window or a natural image. For the window image, only rectangular image regions (RIR) are detected and converted in 3D. Other text and background are displayed in 2D. The proposed method was performed on more than 10,000 test images. In the experimental results, the detection ratio of window image reaches 97% and RIR detection ratio is 87%.
Keywords
window image; natural image; image classification; 3D conversion;
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