| Summary: | 碩士 === 國立臺灣大學 === 資訊工程學研究所 === 95 === In this thesis, we proposed a user preference guided document layout adaptor to reduce the overhead of end users. We focus on two types of publishing media, presentation slides and webpage. In slides generation, semantic-level summarization is fulfilled by introducing an easy-to-use annotation interface, rather than being trapped in the difficult text understanding problem. Furthermore, we model media-specific principles of document layout design, together with user preferences, as constraints of optimization problems and implement an efficient layout optimization module. Users of the proposed slides generator can conveniently read/annotate a digital document and then obtain high-quality presentation slides on the fly. Besides, a webpage generator is proposed to further support the feasibility of document adaptation system. We accomplish the webpage layout optimization problem by genetic algorithm. Extensive experiments including subjective tests are performed to prove that the proposed system does make good trade-offs between user overhead and presentation quality.
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