Learning-Based Local Visual Representation and Indexing (Computer Science Reviews and Trends)

By: Rongrong Ji and Yue Gao and Ling-Yu Duan and Hongxun Yao and Qionghai Dai

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Synopsis: Learning-Based Local Visual Representation and Indexing, reviews the state-of-the-art in visual content representation and indexing, introduces cutting-edge techniques in learning based visual representation, and discusses emerging topics in visual local representation, and introduces the most recent advances in content-based visual search techniques. - Discusses state-of-the-art procedures in learning-based local visual representation. - Shows how to master the basic techniques needed for building a large-scale visual search engine and indexing system - Provides insight into how machine learning techniques can be leveraged to refine the visual recognition system, especially in the part of visual feature representation.