Superpixel Matching Based Image Retrieval

Zhixiang He, Xiaoli Sun, Chenhui Li, George Baciu, Yushi Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Local features of images have been widely used in image retrieval, however, the cost is so heavy. To address this issue, a superpixel-based approach for image retrieval is proposed. We first extract the image structure that preserves the main information and removes the redundant information from the image by smoothing and oversegment a smoothed image into a certain number of superpixels. We then extract the positive candidate superpixels by combining superpixels with local descriptors. Finally, we compute the similarity of two images by analyzing two sets of positive candidate superpixels. Experiments on dataset PQ7 demonstrate the performance of the proposed approach.
Original languageEnglish
Title of host publicationProceedings of 2017 International Conference on Video and Image Processing, ICVIP 2017
PublisherAssociation for Computing Machinery
Pages156-160
Number of pages5
ISBN (Electronic)9781450353830
DOIs
Publication statusPublished - 27 Dec 2017
Event2017 International Conference on Video and Image Processing, ICVIP 2017 - Singapore, Singapore
Duration: 27 Dec 201729 Dec 2017

Conference

Conference2017 International Conference on Video and Image Processing, ICVIP 2017
CountrySingapore
CitySingapore
Period27/12/1729/12/17

Keywords

  • Image retrieval
  • Key-point
  • Smoothing
  • Superpixel

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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