In this paper, three new algorithms including optimal quantized wavelet correlogram (OQWC), wavelet CCV-correlogram (W3C), and color-W3C (CW3C) for content-based image indexing and retrieval are presented. In OQWC the threshold levels for wavelet coefficient quantization are optimized using an evolutionary process. W3C is an extension of OQWC that utilizes color coherence vectors (CCV) to include gray level and texture information in image index. Finally, CW3C is an extended version of W3C for effective color image indexing. The retrieval results obtained by the new methods on a 1000 image database demonstrate significant improvements in recall and rank compared to wavelet correlogram and SIMPLIcity methods.
Enhanced wavelet correlogram methods for image indexing and retrieval
2005-01-01
269536 byte
Conference paper
Electronic Resource
English
Enhanced Wavelet Correlogram Methods for Image Indexing and Retrieval
British Library Conference Proceedings | 2005
|Image indexing using edge orientation correlogram [3964-11]
British Library Conference Proceedings | 2000
|Sectional auto-correlogram and sectional retro-correlogram -- 1, 2
Engineering Index Backfile | 1966
|Color for Image Indexing and Retrieval
British Library Online Contents | 2004
|