Wavelet-Based Image Indexing Techniques with Partial Sketch Retrieval Capability

This paper describes WBIIS Wavelet-Based Image Indexing and Searching, a new image indexing and retrieval algorithm with partial sketch image searching capability for large image databases. The algorithm characterizes the color variations over the spatial extent of the image in a manner that provides semanticallymeaningful image comparisons. The indexing algorithm applies a Daubechies' wavelet transform for each of the three opponent color components. The wavelet coe cients in the lowest few frequency bands, and their variances, are stored as feature vectors. To speed up retrieval, a two-step procedure is used that rst does a crude selection based on the variances, and then renes the search by performing a feature vector match between the selected images and the query. For better accuracy in searching, two level multiresolution matching may also be used. Masks are used for partialsketch queries. This technique performs much better in capturing coherence of image, object granula...

• Type: Conference
• Year: 1997
• Where: ADL
• Authors: James Ze Wang, Gio Wiederhold, Oscar Firschein, Sha Xin Wei
• Keywords: ADL 1997, Digital Library, Image Indexing, Images, Wavelet-based Image Indexing