Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval

@article{Chadha2012ComparativeSA,
  title={Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval},
  author={Aman Chadha and Sushmit Mallik and Ravdeep Johar},
  journal={ArXiv},
  year={2012},
  volume={abs/1208.6335}
}
The aim of a Content-Based Image Retrieval (CBIR) system, also known as Query by Image Content (QBIC), is to help users to retrieve relevant images based on their contents. CBIR technologies provide a method to find images in large databases by using unique descriptors from a trained image. The image descriptors include texture, color, intensity and shape of the object inside an image. Several feature-extraction techniques viz., Average RGB, Color Moments, Cooccurrence, Local Color Histogram… CONTINUE READING

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