Learning-Based Local Visual Representation and Indexing
Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Artificial Intelligence, General Computing
| Author: | Rongrong Ji, Yue Gao, Ling-Yu Duan, Hongxun Yao, Qionghai Dai | ISBN: | 9780128026205 |
| Publisher: | Elsevier Science | Publication: | April 8, 2015 |
| Imprint: | Morgan Kaufmann | Language: | English |
| Author: | Rongrong Ji, Yue Gao, Ling-Yu Duan, Hongxun Yao, Qionghai Dai |
| ISBN: | 9780128026205 |
| Publisher: | Elsevier Science |
| Publication: | April 8, 2015 |
| Imprint: | Morgan Kaufmann |
| Language: | English |
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.
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.
