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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 吳家麟(Ja-Ling Wu) | |
dc.contributor.author | Chih-Chieh Hsiao | en |
dc.contributor.author | 蕭志傑 | zh_TW |
dc.date.accessioned | 2021-06-13T01:14:59Z | - |
dc.date.available | 2007-07-25 | |
dc.date.copyright | 2007-07-25 | |
dc.date.issued | 2007 | |
dc.date.submitted | 2007-07-17 | |
dc.identifier.citation | [1] Adobe Acrobat Software Development Kit 8.0, available at http://www.adobe.com/devnet/acrobat/.
[2] Google Notebook, available at http://www.google.com/notebook/. [3] Microsoft O ce OneNote 2007, available at http://o ce.microsoft.com/onenote/default.aspx. [4] B. Bos. Cascading Style Sheets. World Wide Web Consortium, 1999. [5] T. Bray, J. Paoli, C. Sperberg-McQueen, et al. Extensible Markup Language (XML). World Wide Web Journal, 2(4):27–66, 1997. [6] J. Cai. Page Layout Adaptation for Small Form Factor Devices. [7] D. Goldberg et al. Genetic Algorithm in Search, Optimization and Machine Learning. Reading, 1989. [8] K. Hashida. Global document annotation. Natural Language Processings Pacific Rim Symposium’97. [9] S. Kurohashi and M. Nagao. A syntactic analysis method of long Japanese sentences based on the detection of conjunctive structures. Computational Linguistics, 20(4):507–534, 1994. [10] S. Kurohashi and M. Nagao. Automatic detection of discourse structure by checking surface information in sentences. Proceedings of the 15th conference on Computational linguistics-Volume 2, pages 1123–1127, 1994. [11] S. Kurohashi, T. Nakamura, Y. Matsumoto, and M. Nagao. Improvements of Japanese morphological analyzer JUMAN. Proc. InternationalWorkshop on Sharable Natural Language Resources, pages 22–28, 1994. [12] G. Miller. The magical number seven, plus or minus two: Some limits on our capacity for information processing. Psychological Review, 63(2):81–97, 1956. [13] K. Nagao and K. Hasida. Automatic text summarization based on the Global Document Annotation. Proceedings of the 17th international conference on Computational linguistics-Volume 2, pages 917–921, 1998. [14] T. Shibata and S. Kurohashi. Automatic Slide Generation Based on Discourse Structure Analysis. Lecture Notes in Computer Science, 3651:754, 2005. [15] M. Utiyama and K. Hasida. Automatic slide presentation from semantically annotated documents. ACL’99 Workshop on Coreference and Its Applications, 1999. [16] A. Vetro, C. Timmerer, and S. Devillers. Information Technology - Multimedia Framework (MPEG-21) - Part 7: Digital Item Adaptation. ISO. Technical report, IEC, Tech. Rep. 21000-7: 2004, 2004. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/29689 | - |
dc.description.abstract | 在本論文中,我們提出了一套數位文件排版轉換系統。主要目的就是減低使用者在轉換數位文件排版時所需的時間與精力。我們探討了兩種文件被轉換的格式,投影片以及網頁。使用者可以藉由我們的系統,將一份PDF格式的論文,輕易的轉換為PPT格式的投影片。其中有關語意的部分,我們採用了一個簡易的標記工具,讓使用者在不影響他們的閱讀習慣之下,選擇他們真正需要的內容。在收集到資訊之後,我們將投影片中的圖文排版模擬成一個最佳化問題,而使用者偏好則被視做最佳化的限制。除此之外,我們也為網頁設計了排版轉換系統。在處理網頁的圖文排版問題時,則是利用了基因演算法來解決較為複雜的最佳化問題。相較於傳統投影片以及網頁費時費力的產生過程,我們透過了使用者的主觀測試,本系統在使用者花費的時間精力以及被轉換數位文件的品質上取得了不錯的平衡。 | zh_TW |
dc.description.abstract | 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. | en |
dc.description.provenance | Made available in DSpace on 2021-06-13T01:14:59Z (GMT). No. of bitstreams: 1 ntu-96-R94922011-1.pdf: 1400078 bytes, checksum: b6c2c00681dee83ed229f3b4263874d3 (MD5) Previous issue date: 2007 | en |
dc.description.tableofcontents | 1 Introduction............................................. 1
1.1 Motivation..................................... 1 1.2 Proposed Document Adaptation System............ 3 1.3 Thesis Structure............................... 4 2 Related Works............................................ 5 2.1 Document Adaptation............................ 5 2.2 Slides Generation.............................. 6 2.3 Webpage Generation............................. 8 3 Intelligent Slides Generation............................ 9 3.1 Easy-to-Use Annotation Tool.................... 9 3.2 Slides Clustering............................. 11 3.3 Slides Layout Optimization.................... 14 3.4 Performances of the Optimization Model........ 20 3.4.1 Basic System performance............ 20 3.4.2 Effects due to Model Inaccuracies... 21 3.4.3 Vertical vs. Horizontal Partition... 24 3.5 Verification.................................. 25 4 Webpage Generation...................................... 28 4.1 Input for Webpage............................. 29 4.2 Webpage Layout Optimization Model............. 30 4.3 Genetic Algorithm............................. 34 4.3.1 Initial Population.................. 34 4.3.2 Reproduction........................ 36 4.3.3 Crossover........................... 36 4.3.4 Mutation............................ 36 4.3.5 Verification and Selection.......... 37 4.3.6 Terminating Condition............... 37 4.4 Result and Comparison......................... 38 5 Conclusion and Future Works............................. 40 5.1 Conclusion.................................... 40 5.2 FutureWorks................................... 41 References................................................ 42 Vita...................................................... 45 | |
dc.language.iso | en | |
dc.title | 以使用者偏好為基礎之數位文件排版轉換系統 | zh_TW |
dc.title | User Preference Guided Digital Document Layout Adaptor | en |
dc.type | Thesis | |
dc.date.schoolyear | 95-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 林守德(Shou-De Lin),李明穗(Ming-Sui Lee) | |
dc.subject.keyword | 自動文件轉換,投影片生成,網頁生成,版面配置,最佳化, | zh_TW |
dc.subject.keyword | automatic document adaptation,slides generation,webpage generation,layout arrangement,optimization, | en |
dc.relation.page | 44 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2007-07-20 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
顯示於系所單位: | 資訊工程學系 |
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ntu-96-1.pdf 目前未授權公開取用 | 1.37 MB | Adobe PDF |
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