Retrieval of Multiple Spatiotemporally Correlated Images on Tourist Attractions Based on Image Processing

Author:

Lu Shuang,Zhang Qian,Liu Yi,Liu Lei,Zhu Qing,Jing Ke

Abstract

The thriving of information technology (IT) has elevated the demand for intelligent query and retrieval of information about the tourist attractions of interest, which are the bases for preparing convenient and personalized itineraries. To realize accurate and rapid query of tourist attraction information (not limited to text information), this paper proposes a spatiotemporal feature extraction method and a ranking and retrieval method for multiple spatiotemporally correlated images (MSCIs) on tourist attractions based on deeply recursive convolutional network (DRCN). Firstly, the authors introduced the acquisition process of candidate spatiotemporally correlated images on tourist attractions, including both coarse screening and fine screening. Next, the workflow of spatiotemporal feature extraction from tourist attraction images was explained, as well as he proposed convolutional long short-term memory (ConvLSTM) algorithm. After that, the ranking model of MSCIs was constructed and derived. Experimental results demonstrate that our strategy is effective in the retrieval of tourist attraction images. The research results shed light on the fast and accurate retrieval of other types of images.

Funder

Research on Strategies for Memory Protection and Inheritance of Industrial and Trade Traditional Villages in Henan from the Perspective of Village Culture

Research on Spatial Satisfaction Evaluation and Regeneration Protection Strategy of Traditional Village Context Inheritance in Southern Henan Province

Humanities and Social Sciences research project of Education Department of Henan province in 2020

Research on Spatial Feature Improvement design of Traditional Village Landscape in Southern Henan Under Protection Early Warning Strategy

Henan Federation of Social Sciences

Subject of Henan province's 13th five-year plan for education

Subject of Henan social science planning

Publisher

International Information and Engineering Technology Association

Subject

Electrical and Electronic Engineering

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