Frame segmentation used MLP-based X-Y recursive for mobile cartoon content

Authors:
Eunjung Han;Kirak Kim;HwangKyu Yang;Keechul Jung
Affiliations:
HCI Lab., School of Media, College of Information Technology, Soongsil University, Seoul, S. Korea;HCI Lab., School of Media, College of Information Technology, Soongsil University, Seoul, S. Korea;Department of Multimedia Engineering, Dongseo University, Busan, S. Korea;HCI Lab., School of Media, College of Information Technology, Soongsil University, Seoul, S. Korea
Venue:
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Year:
2007

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Abstract

With rapid growth of the mobile industry, the limitation of small screen mobile is attracting a lot of researchers attention for transforming on/off-line contents into mobile contents. Frame segmentation for limited mobile browsers is the key point of off-line contents tranformation. The X-Y recursive cut algorithm has been widely used for frame segmentation in document analysis. However, this algorithm has drawbacks for cartoon images which have various image types and image with noises, especially the online cartoon contents obtain during scanning. In this paper, we propose a method to segment on/off-line cartoon contents into fitted frames for the mobile screen. This makes the x-y recursive cut algorithm difficult to find the exact cutting point. Therefore we use a method by combining two concepts: an X-Y recursive cut algorithm to extract candidate segmenting positions which shows a good performance on noises free contents, and Multi-Layer Perceptrons (MLP) concept use on candidate for verification. These methods can increase the accuracy of the frame segmentation and feasible to apply on various off-line cartoon images with frames.