Color Image Retrieval Based on Distance-Weighted Boundary Predictive Vector Quantization Index Histograms

• SUN Zhen

  Department of Automatic Test and Control, Harbin Institute of Technology

• LU Zhe-Ming

  School of Aeronautics and Astronautics, Zhejiang University

• LUO Hao

  School of Aeronautics and Astronautics, Zhejiang University

Abstract

This Letter proposes a new kind of features for color image retrieval based on Distance-weighted Boundary Predictive Vector Quantization (DWBPVQ) Index Histograms. For each color image in the database, 6 histograms (2 for each color component) are calculated from the six corresponding DWBPVQ index sequences. The retrieval simulation results show that, compared with the traditional Spatial-domain Color-Histogram-based (SCH) features and the DCTVQ index histogram-based (DCTVQIH) features, the proposed DWBPVQIH features can greatly improve the recall and precision performance.

Journal

• IEICE Transactions on Information and Systems

  IEICE Transactions on Information and Systems E92-D (9), 1803-1806, 2009

  The Institute of Electronics, Information and Communication Engineers

Keywords

• content-based image retrieval (CBIR)
• predictive vector quantization (PVQ)
• distance-weighted boundary PVQ (DWBPVQ)
• index histograms

Details

• CRID: 1390282679355496448
• NII Article ID: 10026811154
• NII Book ID: AA10826272
• DOI: 10.1587/transinf.e92.d.1803
• ISSN: 17451361
• ISSN: 09168532
• Web Site: http://www.jstage.jst.go.jp/article/transinf/E92.D/9/E92.D_9_1803/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed