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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 吳家麟 | |
dc.contributor.author | Kuei-Yi Hsieh | en |
dc.contributor.author | 謝逵繹 | zh_TW |
dc.date.accessioned | 2021-06-13T15:28:44Z | - |
dc.date.available | 2008-07-21 | |
dc.date.copyright | 2008-07-21 | |
dc.date.issued | 2008 | |
dc.date.submitted | 2008-07-16 | |
dc.identifier.citation | [1] T. Barry and D. Howard. A review and critique of the hierarchy of effects in advertising. International Journal of Advertising, 9(2):121-135, 1990.
[2] K. Wan and X. Yan. Advertising insertion in sports webcasts. IEEE MULTIMEDIA, pages 78-82, 2007. [3] X. Yu, X. Yan, T. Chi, and L. Cheong. Inserting 3d projected virtual content into broadcast tennis video, pages 619-622. ACM Press New York, NY, USA, 2006. [4] K. Wan, X. Yan, X. Yu, and C. Xu. Robust goal-mouth detection for virtual content insertion. volume 2, pages 468-469, 2003. [5] Y. Li, K. Wan, X. Yan, and C. Xu. Real time advertisement insertion in baseball video based on advertisement effect. pages 343-346. ACM Press New York, NY, USA, 2005. [6] Mei, T., Hua, X., Yang, L., and Li, S. 2007. VideoSense: towards effective online video advertising. In Proceedings of the 15th international Conference on Multimedia (Augsburg, Germany, September 25 - 29, 2007). MULTIMEDIA '07. ACM, New York, NY, 1075-1084 [7] Shijin Li , Bing Lu , Nanjing. Automatic Camera Calibration Technique and its Application In Virtual Advertisement Insertion System., pages: 288-292.2007. ICIEA 2007. 2nd IEEE Conference on Industrial Electronics and Applications [8] Lai, J. and Chien, S. 2007. Tennis video 2.0: a new framework of sport video applications. In Proceedings of the 15th international Conference on Multimedia (Augsburg, Germany, September 25 - 29, 2007). MULTIMEDIA '07. ACM, New York, NY, 1087-1088. [9] K. Wan and C. Xu, “Automatic Content Placement in Sports Highlights,” Proc. IEEE Int’l Conf. Multimedia and Expo (ICME), IEEE Press, 2006, pp. 1893-1896. [10] Xu, C.S., Wan, K.W., Bui, S.H., and Tian, Q. Implanting virtual advertisement into broadcast soccer video. Proc of PCM, LNCS 3332, pp. 264-271, 2004 [11] A. Ekin and A. Tekalp. Robust dominant color region detection and color-based applications for sports video. volume 1, 2003. [12] D. Farin, S. Krabbe, and W. Effelsberg. Robust camera calibration for sport videos using court models. volume 5307, pages 80-91. SPIE, 2003. [13] Z.Wang and A. C. Bovik, “Embedded foveation image coding,” IEEE Trans. Image Processing, pp. 1397–1410, Oct. 2001. [14] J. G. Robson and N. Graham, “Probability summation and regional variation in contrast sensitivity across the visual field,” Vision Research, pp. 409–418, 1981. [15] M. S. Banks, A. B. Sekuler, and S. J. Anderson, “Peripheral spatial vision: limits imposed by optics, photoreceptors and receptor pooling,” Journal of the Optical Society of America A, pp. 1775–1787, 1991. [16] W. S. Geisler, “Visual detection following retinal damage: predictions of an inhomogeneous retino-cortical model,” in SPIE Proceedings: Human Vision and Electronic Imaging (VCIP’96), 1996, pp. 119–130. [17] W. S. Geisler and J. S. Perry, “A real-time foveated multiresolution system for low-bandwidth video communication,” in SPIE Proceedings: Human Vision and Electronic Imaging (VCIP’98), 1998, pp. 294–305. [18] H. Sheikh, B. Evans, and A. Bovik. Real-time foveation techniques for low bit rate video coding. Real-Time Imaging, 9(1):27-40, 2003. [19] D. Cohen-Or, O. Sorkine, R. Gal, T. Leyvand, and Y. Xu. Color harmonization. volume 25, pages 624-630. ACM Press New York, NY, USA, 2006. [20] H. Li, S. Edwards, and J. Lee. Measuring the intrusiveness of advertisements: scale development and validation. Journal of Advertising, 31(2):37-47, 2002. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/37455 | - |
dc.description.abstract | 如何在有限的干擾下,於運動影片中置入廣告並使廣告效益最大化已被公認是一個極具挑戰性的問題。在這篇論文中,我們提出了一種嶄新的廣告策略,稱之為虛擬探照游移廣告 (virtual spotlighted advertising, ViSA),並將其實作、應用於網球影片。這種廣告策略應用了包含心理學、廣告行銷、計算美學在內的相關學理,藉以達到提昇廣告效果及降低干擾的目的。我們實作出的系統,能自動找尋觀看者較感興趣的時間、空間,並選出最具廣告溝通效果的區域,將虛擬廣告投影於網球場上。同時,為了降低置入廣告造成的干擾,廣告會經過適當的色彩和諧化(color harmonization),使其與網球場顏色更加融洽。除此之外,我們也利用人類視覺模型(human visual system model, HVS model)為輔助,調整廣告出現的透明度。實驗結果顯示,我們的系統能在不影響觀看者欣賞球賽的情況下,有效地讓觀看者對置入的廣告擁有不錯的回憶度及辨識度,並且干擾程度在可接受的範圍之內。我們認為這種廣告策略,能有效提昇廣告效果且能廣泛應用於其它運動影片之中。 | zh_TW |
dc.description.abstract | With the constraint of limited intrusiveness, maximizing the advertising efficiency in sports video has been known as a challenging problem. In this thesis, we propose a virtual advertisement system with novel advertising strategy, called Virtual Spotlighted Advertising (ViSA), for broadcasting tennis videos. We take psychology, advertising theory, and computational aesthetics into account for improving the effectiveness of advertising. ViSA system automatically detects the candidate insertion points in both temporal and spatial domains and estimates the maximum effective region for message communication. Then, the harmonically re-colored advertisements with foveation model based non-uniform transparency, are projected on the court in tennis videos. The experiments and evaluation results showed the effectiveness of ViSA, for sports video advertising, in terms of recall and recognition. | en |
dc.description.provenance | Made available in DSpace on 2021-06-13T15:28:44Z (GMT). No. of bitstreams: 1 ntu-97-R95922051-1.pdf: 2639989 bytes, checksum: 7a147d884a13f710e46aedf88de824fb (MD5) Previous issue date: 2008 | en |
dc.description.tableofcontents | CHAPTER 1 INTRODUCTION .................................................................................. 1
1.1 MOTIVATION ....................................................................................................... 1 1.2 RELATED WORKS ................................................................................................ 2 1.3 PROPOSED SYSTEM .............................................................................................. 3 1.4 THESIS ORGANIZATION ........................................................................................ 4 CHAPTER 2 SYSTEM OVERVIEW .......................................................................... 5 2.1 ESSENTIAL IDEAS ................................................................................................ 5 2.2 SYSTEM OVERVIEW ............................................................................................. 7 CHAPTER 3 INSERTION POINT DETECTION .................................................... 10 3.1 COURT VIEW DETECTION ................................................................................... 10 3.2 CAMERA CALIBRATION ...................................................................................... 10 3.3 PLAYER DETECTION ...........................................................................................11 3.4 ATTENTION REGION CALCULATION .....................................................................11 3.4.1 Foveation Model ............................................................................................ 11 3.4.2 Focus Intensity ............................................................................................. 15 CHAPTER 4 ADVERTISEMENT INSERTION ....................................................... 18 4.1 COMMUNICATION EFFECT MAPPING ................................................................... 18 4.1.1 Effectiveness Calculation .............................................................................. 18 4.1.2 Advertisement Allocation .............................................................................. 19 4.2 REPRESENTATION .............................................................................................. 20 4.2.1 Color Harmonization .................................................................................... 21 4.2.2 Advertisement Projection .............................................................................. 22 v CHAPTER 5 EVALUATION ..................................................................................... 25 CHAPTER 6 CONCLUSIONS AND FUTURE WORK ........................................... 32 6.1 CONCLUSIONS ................................................................................................... 32 6.2 FUTURE WORK .................................................................................................. 33 REFERENCE ................................................................................................................. 34 | |
dc.language.iso | en | |
dc.title | 以視覺模型為輔助且適用於網球影片之虛擬探照游移廣告系統 | zh_TW |
dc.title | Virtual Spotlighted Advertising System for Broadcasting Tennis Video with the Aid of Foveation Model | en |
dc.type | Thesis | |
dc.date.schoolyear | 96-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 莊玉如,林育慈,朱威達 | |
dc.subject.keyword | 網球影片分析,降低干擾,廣告, | zh_TW |
dc.subject.keyword | tennis video analysis,less intrusiveness,advertising, | en |
dc.relation.page | 35 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2008-07-17 | |
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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