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Learning-Based Local Visual Representation and Indexing

  • Rongrong Ji*
  • , Yue Gao
  • , Ling Yu Duan
  • , Hongxun Yao
  • , Qionghai Dai
  • *Corresponding author for this work

Research output: Book/ReportBookpeer-review

Abstract

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.

Original languageEnglish
PublisherElsevier Inc.
Number of pages109
ISBN (Electronic)9780128026205
ISBN (Print)9780128024096
DOIs
StatePublished - 23 Mar 2015

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