Design And Implementation Of Tourism System Based On Image Retrieval

With the rapid rise of the material and culture standard of living,Tourism industry has gradually become one of the world's fastest-growing emerging industries.And the tour guide is an integral part of tourism.But the traditional artificial guides and guide machines have the problems of high cost,low efficiency and poor experience.So a new solution of guide industry is imperative.The tourism system based on image retrieval in this paper is depended on the high rate of the smart mobile terminals.After investigating lots of image retrieval methods,the convolutional neural network has been chosen for image retrieval in this system.This system is a C/S architecture system which uses the smart mobile terminal as a client.The system successfully solves the high cost of the artificial guides and guide machines with the high rate of smart mobile terminals.The CBIR,which is based on the convolution neural network,has strong distortion tolerance ability of input samples.That's the secret of the high recognition rate in this system.As an Internet platform,this system provides a new solution of guide industry.