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Modern image search engines retrieve the images based on their visual contents, commonly referred to as Content Based Image Retrieval (CBIR) systems. Typical CBIR systems can organize and retrieve images from image databases, automatically by extracting some features such as color, texture, shape from images and looking for similar images which have similar feature. One problem of this approach is reliance on visual similarity to judge semantic similarity, which creates problems due to semantic gap between low-level content and high level concepts. Even with the subsistence of this problem,...

The ideas presented in the book have been envisioned to promote revenue generation for modern business process. Professionals and proletarians in recent years have witnessed proliferation of digital images from different image capturing devices and the social media with the advent of cutting edge technology. In this work, the authors have presented novel techniques for product identification by means of content based image data. The aim of the book is to kindle new horizons for smart use of ingenious image data in modern business process.