Efficient and effective querying by image content
Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
Using Discriminant Eigenfeatures for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Communications of the ACM
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Region-based image retrieval using integrated color, shape, and location index
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Image indexing using moments and wavelets
IEEE Transactions on Consumer Electronics
Image retrieval using BDIP and BVLC moments
IEEE Transactions on Circuits and Systems for Video Technology
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Retrieving image from large & varied collections using image content(such as color, shape, texture) as a key is challenging & important problem. This paper describes a novel & effective approach to Content Based Image Retrieval (CBIR) that represent each image in database by a vector of feature values called "Wavelet Transform on Pixel Distribution of Row & Column of BMP for CBIR". Here we propose a simple and effective approach that can be easily implemented in a programming language. In this technique standard deviation & mean of wavelet coefficients of color distribution of row & column used as a feature vector of image. We use Harr wavelet for this purpose. We obtain compact feature vector of size 24 that create image signature in term of both texture & color. We use simple Euclidean distance to compute the similarity measures of images for Content Based Image Retrieval application. This technique gives acceptable results in a simple and fast way.