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Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2009, Vol. 10 Issue (6): 800-804    DOI: 10.1631/jzus.A0820842
Electrical & Electronic Engineering     
Efficient page layout analysis on small devices
Eun-jung HAN, Chee-onn WONG, Kee-chul JUNG, Kyung-ho LEE, Eun-yi KIM
Department of Naval Architecture and Ocean Engineering, Inha University, Incheon 402-751, Korea; Human-Centered Interfaces Lab, Department of Digital Media, Soongsil University, Seoul 156-743, Korea; Internet and Media Engineering, Konkuk University, Seoul 143-701, Korea
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Abstract  Previously we have designed and implemented new image browsing facilities to support effective offline image contents on mobile devices with limited capabilities: low bandwidth, small display, and slow processing. In this letter, we fulfill the automatic production of cartoon contents fitting small-screen display, and introduce a clustering method useful for various types of cartoon images as a prerequisite stage for preserving semantic meaning. The usage of neural networks is to properly cut the various forms of pages. Texture information that is useful for grayscale image segmentation gives us a good clue for page layout analysis using the multilayer perceptron (MLP) based x-y recursive algorithm. We also automatically frame the segment MLP using agglomerative segmentation. Our experimental results show that the combined approaches yield good results of segmentation for several cartoons.

Key wordsEfficient page layout analysis      MLP-based segmentation      Mobile devices      Image segmentation      Neural network     
Received: 04 December 2008     
CLC:  TP391.4  
Cite this article:

Eun-jung HAN, Chee-onn WONG, Kee-chul JUNG, Kyung-ho LEE, Eun-yi KIM. Efficient page layout analysis on small devices. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(6): 800-804.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A0820842     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2009/V10/I6/800

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