Paper Titles
Image Quality Improvement with Liquid Field Lens Scheme in 9x Zoom Lens Intermediate Optics
p.1245
Photoluminescence and Recombination Mechanisms in Nitride-Based Multiple Quantum Wells
p.1250
Photoluminescence Properties of Eu2+ Activated CaAlSiN3 Red Phosphors with Various Eu2+ Contents
p.1255
Integration of Lenticular Displays with Image Switching and Infrared Watermark
p.1260
Smart Tourism: Exploring Historical, Cultural, and Delicacy Scenic Spots Using Visual-Based Image Search Technology
p.1265
An Evaluation Eye Diagram of a High-Reliability FPGA Platform for High-Resolution Camera
p.1270
Study of the Dynamic Image Stabilizer
p.1275
Weight Switching Tri-State Median Filter
p.1279
Design of a High-Reliability FPGA Platform for High-Resolution Image Process System
p.1283

Smart Tourism: Exploring Historical, Cultural, and Delicacy Scenic Spots Using Visual-Based Image Search Technology

Article Preview

Abstract:

Learning of the rich historical and cultural backgrounds of scenic spots in a limited time is difficult for nonlocal and foreign tourists during their visit. However, tourists can enhance their visiting experience rapidly and familiarize themselves with and explore local histories and cultures by using digital technology. This study involved developing a smart tourism application system for historical and cultural scenic spots for tourists based on visual search technology. The results of the experiment indicated that the current accuracy of the image search identification is 86%.

You might also be interested in these eBooks
Modern Design Technologies and Experiment for Advanced Manufacture and Industry View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 764-765)

Pages:

1265-1269

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.764-765.1265

Citation:

Cite this paper

Online since:

May 2015

Authors:

Cheng Ming Huang*, Sheng Chih Chen

Keywords:

e-Tourism, Mobile Tour Development, Visual Search

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] C. M. Huang, W. H. Liao and S. C. Chen: Mobile tour planning using landmark photo matching and intelligent character recognition, Applied Mechanics and Materials. 182 (2012) 854-859.

DOI: 10.4028/www.scientific.net/amm.182-183.854

Google Scholar

[2] E. Chatzilari, G. Liaros, S. Nikolopoulos and Y. Kompatsiaris: A comparative study on mobile visual recognition, Machine Learning and Data Mining in Pattern Recognition, 2013, pp.442-457.

DOI: 10.1007/978-3-642-39712-7_34

Google Scholar

[3] R. Ji, L. Y. Duan, J. Chen, H. Yao, J. Yuan, Y. Rui and W. Gao: Location discriminative vocabulary coding for mobile landmark search. International Journal of Computer Vision, 96 (2012) 290-314.

DOI: 10.1007/s11263-011-0472-9

Google Scholar

[4] Y. G. Kim and W. J. Kim: Implementation of augmented reality system for smartphone advertisements. International Journal of Multimedia and Ubiquitous Engineering, 9 (2014) 385-392.

DOI: 10.14257/ijmue.2014.9.2.39

Google Scholar

[5] S. C. Chen, C. M. Huang and M. F. Liu: Mobile YiLan: Enhancing Visitor Experiences in Ubiquitous Computing Environments, Mechatronics and Automation, 2013, pp.1239-1244.

DOI: 10.1109/icma.2013.6618091

Google Scholar

[6] A. Mishra, K. Alahari and C. V. Jawahar: Top-down and bottom-up cues for scene text recognition. Computer Vision and Pattern Recognition, 2012, pp.2687-2694.

DOI: 10.1109/cvpr.2012.6247990

Google Scholar

[7] D. G. Lowe: Distinctive image features from scale-invariant keypoints. International journal of computer vision. 60 (2004) 91-110.

DOI: 10.1023/b:visi.0000029664.99615.94

Google Scholar

[8] C. C. Yu: The design and implementation of an agent-based platform for developing resource management systems. Master's thesis, National Central University. (2006).

Google Scholar

[9] M. Muja and D. G. Lowe: Fast matching of binary features. Computer and Robot Vision, 2012, pp.404-410.

DOI: 10.1109/crv.2012.60

Google Scholar