Earticle

초록

영어

In order to provide personal guiding service to visitors in the Picture Gallery, a mobile visual search guiding system based on SIFT(Scale Invariant Feature Transform) is proposed in this paper. The visitors can achieve the paintings’ information using the camera function of the mobile phones when they enjoy the famous paintings in the Picture Gallery. The mobile search visual system proposed in this paper can identify the paintings in the server side so there are no extra performance requirements for the mobile phones. Firstly, the mobile visual search system was introduced. Then the system was designed and realized. The classification training was based on SVM (Support Vector Machine). The SIFT feature extraction algorithm was used to enhance the recognition rate. After the image retrieval, the geometric consistency check was employed to choose the best matching image. Finally, the experimental results verified the feasibility and practicability of this system. Compared with the present guiding systems, this system can communicate with the visitors conveniently and offer abundant and all-around information to the visitors. In addition, using this guiding system, any auxiliary devices are not needed to be installed in the Picture Gallery.

목차

Abstract
 1. Introduction
 2. The Mobile Visual Search System
 3. Design of the System
  3.1. The Structure of the System
  3.2. The Image Feature Extraction
  3.3. The Classification Training Module
  3.4. The Image Retrieval Module
 4. The Realization of the System
  4.1. The Construction of the System
  4.2. Scale Invariant Feature Transform
  4.3. Fast Quantization of the Image Feature
  4.4. Huge Amount of Images Retrieval
  4.5. Geometric Consistency Check
 5. The Mobile User Interface
 6. Experimental Results and Analysis
 7. Conclusions
 Acknowledgements
 References

키워드

저자

• Gongwen Xu [ Shandong Jianzhu University, School of Computer Science and Technology, Jinan, China ]
• Xiaomei Li [ Cancer Center of the Second Hospital, Shandong University, Jinan, China ]
• Honglan Zhou [ Dongying Special Equipment Inspection Institute, Dongying, China ]
• Jian Lei [ Shandong Institute of Standardization, Dongying Branch, Dongying, China ]
• Zhijun Zhang [ Shandong Jianzhu University, School of Computer Science and Technology, Jinan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605