This document summarizes a research paper that proposes using Zernike moments and steerable Gaussian filters for effective image retrieval based on color, texture, and shape features. It describes extracting dominant colors from images using dynamic color quantization and clustering. Texture features are represented using steerable filter decomposition. Shape features are described using pseudo-Zernike moments. The proposed method combines these color, texture, and shape features to generate a robust feature set for image retrieval that provides better retrieval accuracy than other methods.