Local Image Descriptor using VQ-SIFT for Image Retrieval

نویسندگان

  • Qiu Chen
  • Feifei Lee
  • Koji Kotani
  • Tadahiro Ohmi
چکیده

In this paper, we present local image descriptor using VQ-SIFT for more effective and efficient image retrieval. Instead of SIFT's weighted orientation histograms, we apply vector quantization (VQ) histogram as an alternate representation for SIFT features. Experimental results show that SIFT features using VQ-based local descriptors can achieve better image retrieval accuracy than the conventional algorithm while the computational cost is significantly reduced. Keywords—SIFT feature, Vector quantization histogram, Local descriptor, Image retrieval.

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تاریخ انتشار 2011