| 书目名称 | Feature Coding for Image Representation and Recognition |
| 编辑 | Yongzhen Huang,Tieniu Tan |
| 视频video | |
| 概述 | Overviews all the aspects of feature coding, from motivation, mathematical representation to applications in practice.Review the state-of-the-art and explore the evolvement of various algorithms.Categ |
| 丛书名称 | SpringerBriefs in Computer Science |
| 图书封面 |  |
| 描述 | This brief presents a comprehensive introduction to feature coding, which serves as a key module for the typical object recognition pipeline. The text offers a rich blend of theory and practice while reflects the recent developments on feature coding, covering the following five aspects: (1) Review the state-of-the-art, analyzing the motivations and mathematical representations of various feature coding methods; (2) Explore how various feature coding algorithms evolve along years; (3) Summarize the main characteristics of typical feature coding algorithms and categorize them accordingly; (4) Discuss the applications of feature coding in different visual tasks, analyze the influence of some key factors in feature coding with intensive experimental studies; (5) Provide the suggestions of how to apply different feature coding methods and forecast the potential directions for future work on the topic. It is suitable for students, researchers, practitioners interested in object recognition. |
| 出版日期 | Book 2014 |
| 关键词 | Feature coding; bag-of-features; bag-of-words; image categorization; image classification; image recognit |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-662-45000-0 |
| isbn_softcover | 978-3-662-44999-8 |
| isbn_ebook | 978-3-662-45000-0Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE |
发表于 2025-3-21 17:04:26
