Title :
Fast wavelet histogram techniques for image indexing
Author :
Mandal, M.K. ; Aboulnasr, T. ; Panchanathan, S.
Author_Institution :
Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada
Abstract :
Image histograms have become very popular in image and video indexing applications because of their low complexity. However, histogram-based techniques are not efficient in retrieving texture images. A histogram technique that exploits the directional properties of a wavelet transform has been proposed in the literature. Although, this technique provides good retrieval performance for texture images, its complexity is very high. We propose fast wavelet histogram techniques that provide superior performance at a substantially reduced complexity
Keywords :
computational complexity; database theory; indexing; query processing; software performance evaluation; visual databases; wavelet transforms; Image histograms; complexity; fast wavelet histogram techniques; image indexing; image retrieval performance; texture image retrieval; video indexing; wavelet transform; Band pass filters; Discrete wavelet transforms; Histograms; Image databases; Image retrieval; Image storage; Image texture analysis; Indexing; Spatial databases; Video compression;
Conference_Titel :
Content-Based Access of Image and Video Libraries, 1998. Proceedings. IEEE Workshop on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8544-1
DOI :
10.1109/IVL.1998.694498