Automated content transformation with adjustment for visual presentation related to terminal types

3Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In the ubiquitous environment, mobile terminals like personal digital assistant or cellular phone are used to access the Web. Although the presentation of Web content depends on the terminal type, the Web interface of mobile terminals is designed almost the same as that of personal computers. However, comparing mobile and desktop terminals, some difference in device characteristics, such as screen resolution or sound faithfulness, affect the presentation on the terminal. Moreover, when changing the access style between interactive and passive, the presentation should be adjusted for the terminal type because the lacking information is usually not perceived after transformation. To adjust the play style of Web content to the terminal type, we developed a method for visual presentation. First, using keyword analysis, we represent the emotional aspect of a Web page by adjusting the background color of the screen. Second, we emphasize the subject of the content by the logotype of the keyword. Third, we segment the picture of the content into pieces and present one after another using visual effects. These procedures can be applied to any type of terminal. We implemented the procedures in a ubiquitous/universal passive viewer (u-PaV) system that transforms Web content into passive viewing content that is especially useful for mobile terminals. Extracting images and text from Web content, u-PaV generates a Macromedia Flash file, which is a popular multimedia format. © Springer-Verlag Berlin Heidelberg 2006.

Cite

CITATION STYLE

APA

Uwada, H., Nadamoto, A., Kumamoto, T., Hamabe, T., Yokozawa, M., & Tanaka, K. (2006). Automated content transformation with adjustment for visual presentation related to terminal types. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3841 LNCS, pp. 1214–1217). https://doi.org/10.1007/11610113_138

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free