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

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.

• | Author: Rongrong Ji, Yue Gao, Ling-Yu Duan, Hongxun Yao, Qionghai Dai
• | Publisher: Morgan Kaufmann
• | Publication Date: Mar 23, 2015
• | Number of Pages: 128 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0128024097
• | ISBN-13: 9780128024096