Seeing the whole in parts: text summarization for web browsing on handheld devices
Proceedings of the 10th international conference on World Wide Web
Neural network-based text location in color images
Pattern Recognition Letters
Detecting web page structure for adaptive viewing on small form factor devices
WWW '03 Proceedings of the 12th international conference on World Wide Web
Automatic mobile content conversion using semantic image analysis
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Frame segmentation used MLP-based X-Y recursive for mobile cartoon content
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
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As the production of mobile contents is increasing and many people are using it, the existing mobile contents providers manually split cartoons into frame images fitted to the screen of mobile devices. It needs much time and is very expensive. This paper proposes an Automatic Conversion System (ACS) for mobile cartoon contents. It converts automatically the existing cartoon contents into mobile cartoon contents using an image processing technology as follows: 1) A scanned cartoon image is segmented into frames by structure layout analysis. 2) The frames are split at the region that does not include the semantic structure of the original image 3) Texts are extracted from the splitting frames, and located at the bottom of the screen. Our experiment shows that the proposed ACS is more efficient than the existing methods in providing mobile cartoon contents.