請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/66026
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 吳家麟(Ja-Ling Wu) | |
dc.contributor.author | Yu-Pei Chang | en |
dc.contributor.author | 張宇蓓 | zh_TW |
dc.date.accessioned | 2021-06-17T00:19:26Z | - |
dc.date.available | 2017-07-20 | |
dc.date.copyright | 2012-07-20 | |
dc.date.issued | 2012 | |
dc.date.submitted | 2012-06-26 | |
dc.identifier.citation | Bibliography
[1] ISO/IEC 18004:2006 Information technology – automatic identification and data capture techniques – qr code 2005 bar code symbology specification @ International Organization for Standardization. 2006. [2] T. Anezaki, K. Eimon, S. Tansuriyavong, and Y. Yagi. Development of a human-tracking robot using qr code recognition. In Frontiers of Computer Vision (FCV), 2011 17th Korea-Japan Joint Workshop on, pages 1 –6, feb. 2011. [3] B. Erol, J. Graham, J. J. Hull, and P. E. Hart. A modern day video flip-book: cre-ating a printable representation from time-based media. In Proceedings of the 15th international conference on Multimedia, MULTIMEDIA ’07, pages 819–822, New York, NY, USA, 2007. ACM. [4] K. Fujita, M. Kuribayashi, and M. Morii. Expansion of image displayable area in design qr code. Forum on Information Technology, 2011. [5] K. Fujita, M. Kuribayashi, and M. Morii. A study of image displayable design qr code. Technical report, IEICE Tech Rep., 2011. [6] D. Haisler and P. Tate. Physical hyperlinks for citizen interaction. In Proceedings of the international conference on Multimedia, MM ’10, pages 1529–1530, New York, NY, USA, 2010. ACM. [7] T.-W. Kan, C.-H. Teng, and W.-S. Chou. Applying qr code in augmented reality applications. In Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry, VRCAI ’09, pages 253–257, New York, NY, USA, 2009. ACM. [8] T. Nikolaos and T. Kiyoshi. Qr-code calibration for mobile augmented reality applications: linking a unique physical location to the digital world. In ACM SIGGRAPH 2010 Posters, SIGGRAPH ’10, pages 144:1–144:1, New York, NY, USA, 2010. ACM. [9] S. Ono, K. Morinaga, and S. Nakayama. Barcode design by evolutionary computation. Artificial Life and Robotics, 13:238–241, 2008. 10.1007/s10015-008-0587-4. [10] S. Ono, K. Morinaga, and S. Nakayama. Two-dimensional barcode decoration based on real-coded genetic algorithm. In Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on, pages 1068 –1073, june 2008. [11] S. Ono and S. Nakayama. A system for decorating qr code with facial image based on interactive evolutionary computation and case-based reasoning. In Nature and Biologically Inspired Computing (NaBIC), 2010 Second World Congress on, pages 401 –406, dec. 2010. [12] C. Rother, V. Kolmogorov, and A. Blake. ”grabcut”: interactive foreground extraction using iterated graph cuts. ACM Trans. Graph., 23(3):309–314, Aug. 2004. [13] D. Samretwit and T. Wakahara. Measurement of reading characteristics of multiplexed image in qr code. In Intelligent Networking and Collaborative Systems (INCoS), 2011 Third International Conference on, pages 552 –557, 30 2011-dec. 2 2011. [14] O. Satoru. Program, information storage medium, two-dimensional code generation system, image generation system and printed material. Technical report, Namco Bandai Games Inc., March 2007. [15] J. tung Wang, C.-N. Shyi, T.-W. Hou, and C. Fong. Design and implementation of augmented reality system collaborating with qr code. In Computer Symposium (ICS), 2010 International, pages 414 –418, dec. 2010. [16] T. Wakahara and N. Yamamoto. Image processing of 2-dimensional barcode. In Network-Based Information Systems (NBiS), 2011 14th International Conference on, pages 484 –490, sept. 2011. [17] T. Wakahara, N. Yamamoto, and H. Ochi. Image processing of dotted picture in the qr code of cellular phone. In P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2010 International Conference on, pages 454 –458, nov. 2010. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/66026 | - |
dc.description.abstract | 近年來,科技日新月異,智慧型手機使用人數逐年成長,帶動人與手機其中一個橋樑-二維條碼的商機無限,而二維條碼中,又以快速回應碼(Quick Response code,俗稱QR code)最受歡迎且最為普及,由於它容納的資訊量大、解碼速度快、解碼設備很普及又內建錯誤更正碼(Error correction code)可以使QR code就算遭到污損或遮蔽仍然能夠讀取,非常的強大方便。
然而,QR code的外觀毫無規律,是由亂數出現的黑白紋理組成,使得QR code不管出現在哪裡都顯得很突兀、很不吸引人,為了解決這個問題,我們提出一個系統性的架構藉著將有意義的圖案放入 QR code且在不犧牲QR code的error capacity的情況下來達到QR code的美化。我們的方法使QR code在視覺上更吸引人,且在主觀或客觀上的實驗都得到非常好的結果。 | zh_TW |
dc.description.abstract | Quick Response (QR) code is a widely used matrix bar code with the increasing population of smart phones. However, QR code usually consists of random texture which is not suitable for incorporating with other visual designs (e.g. name card and business advertisement poster). In order to overcome the barrier of random texture in QR code, we propose a systematic QR code beautification framework where the visual appearance of QR code contains visually meaningful pattern without compromising the correctness of decoded message. Our work makes QR code from machine decodable only (i.e. random texture) to a form with human visual pleasing appearance. we evaluate both the subjective and objective experiment and all shows the superior results. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T00:19:26Z (GMT). No. of bitstreams: 1 ntu-101-R99922072-1.pdf: 4059983 bytes, checksum: 57bca369551c0ffe1cb6aa30670720b7 (MD5) Previous issue date: 2012 | en |
dc.description.tableofcontents | 致謝 ii
中文摘要 iii Abstract iv 1 Introduction 1 2 Background of QR Code Generation 4 2.1 The Flow of QR Code Generation 5 2.1.1 Data Analysis Stage 6 2.1.2 Data Encoding Stage 6 2.1.3 Error Correction Encoding Stage 6 2.1.4 Placement and Masking Stage 7 3 Related work 9 4 method 12 4.1 Saliency Consideration and Formulation 12 4.2 Incorporation with Simulated Annealing Optimization 14 4.3 QR Code Beautification with Color Image 16 4.4 Region Maximization of Beautification Regions 16 5 Experimental Results 18 5.1 Correctness of QR Code Decoding 18 5.2 Comparison of Time Complexity and Visual Quality 19 5.3 Subjective Evaluation 20 6 conclusion 24 Bibliography 25 | |
dc.language.iso | zh-TW | |
dc.title | 以外觀為基礎的QR code美化 | zh_TW |
dc.title | Appearance based QR code beautifier | en |
dc.type | Thesis | |
dc.date.schoolyear | 100-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 許秋婷,鄭文皇,朱威達,莊永裕 | |
dc.subject.keyword | 二維條碼,QR碼,錯誤更正碼,美化。, | zh_TW |
dc.subject.keyword | 2D barcode,QR code,Error correction code,beautifier, | en |
dc.relation.page | 27 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2012-06-27 | |
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 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-101-1.pdf 目前未授權公開取用 | 3.96 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。