Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 205-207.doi: 10.11896/j.issn.1002-137X.2016.11A.046

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Image Retrieval of Global and Personalized ROI Adjustment of Features

DUAN Na and WANG Lei   

  • Online:2018-12-01 Published:2018-12-01

Abstract: The key of personalized image retrieval in the area of traffic is to capture the bayonet related information of the key monitoring vehicle through their personalized features.The current image retrieval algorithms include text based image retrieval,content-based image retrieval and semantic based image retrieval.Based on the requirements of traffic in the field of image retrieval,a new image retrieval algorithm based on global and individual interest region features was presented.To get accurate search results,we used the traffic image database to search,verify and filter the accurate personalized features.The experiment demonstrates that this method solves the problem of CNN features,such as low abilityto describe personalized features and time-consuming.This method also has strong ability to describe personalized features,both the image retrieval rate and the average accuracy rate reach 90%,showing a better retrieval effect,fast calculation speed,strong robustness and practicality.

Key words: Convolutional neural network,Histograms of oriented gradients,Image retrieval,Intelligent transportation system

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