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作者:

Shi, Wei-Min (Shi, Wei-Min.) | Liang, Jia-Wei (Liang, Jia-Wei.) | Zhang, Xue (Zhang, Xue.) | Zhou, Yi-Hua (Zhou, Yi-Hua.)

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摘要:

To achieve multi-class image reranking, a novel image reranking algorithm using multiple discrete-time quantum walk is proposed. In this algorithm, a weighted undirected complete graph is first constructed, in which the nodes for the graph represent the images and the weighted values of these edges are the similarity value between the images. Secondly, it uses the spectral clustering to divide the images into k classes and finds the representative image of each class. Thirdly, it uses the k representative images as the initial state of quantum system, and the flip-flop shift operator and the weighted coin operator are used to control multiple discrete-time quantum walk on the weighted complete graph. Finally, the average probability values of the walker reaching the node of the graph is used as the relevance scores of the image, and then the images are reranked by the relevance scores. the experimental results show that our scheme has a significant enhance compared with the initial ranking algorithm from the comparison of visual and relevance scores. Furthermore, the effectiveness of our algorithm is evaluated by the average precision (AP) and the mean average precision (MAP), where the AP of our algorithm is increased by 53.21%, 31.75% and 14.29% for three types of the query image in randomly selected image group respectively, and the MAP of our algorithm is increased by 29.57% for all image groups compared with the initial ranking algorithm. © 2022 IEEE.

关键词:

Edge detection Quantum optics Undirected graphs Image retrieval Flip flop circuits Clustering algorithms

作者机构:

  • [ 1 ] [Shi, Wei-Min]College of Computer Science and Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Liang, Jia-Wei]College of Computer Science and Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Zhang, Xue]College of Computer Science and Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Zhou, Yi-Hua]College of Computer Science and Technology, Beijing University of Technology, Beijing; 100124, China

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年份: 2022

页码: 414-421

语种: 英文

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