IEICE TRANSACTIONS on Information
Color Image Retrieval Based on Distance-Weighted Boundary Predictive Vector Quantization Index Histograms
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E92-D No.9 pp.1803-1806
- Publication Date
- 2009/09/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E92.D.1803
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Keyword
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Zhen SUN, Zhe-Ming LU, Hao LUO, "Color Image Retrieval Based on Distance-Weighted Boundary Predictive Vector Quantization Index Histograms" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 9, pp. 1803-1806, September 2009, doi: 10.1587/transinf.E92.D.1803.
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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.1803/_p
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@ARTICLE{e92-d_9_1803,
author={Zhen SUN, Zhe-Ming LU, Hao LUO, },
journal={IEICE TRANSACTIONS on Information},
title={Color Image Retrieval Based on Distance-Weighted Boundary Predictive Vector Quantization Index Histograms},
year={2009},
volume={E92-D},
number={9},
pages={1803-1806},
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.},
keywords={},
doi={10.1587/transinf.E92.D.1803},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - Color Image Retrieval Based on Distance-Weighted Boundary Predictive Vector Quantization Index Histograms
T2 - IEICE TRANSACTIONS on Information
SP - 1803
EP - 1806
AU - Zhen SUN
AU - Zhe-Ming LU
AU - Hao LUO
PY - 2009
DO - 10.1587/transinf.E92.D.1803
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2009
AB - 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.
ER -
English
