| 书目名称 | Video Search and Mining |
| 编辑 | Dan Schonfeld,Caifeng Shan,Liang Wang |
| 视频video | |
| 概述 | Presents the state of the art in video mining.Written by experts in this field.Provides an overview of emerging new approaches |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | As cameras become more pervasive in our daily life, vast amounts of video data are generated. The popularity of YouTube and similar websites such as Tudou and Youku provides strong evidence for the increasing role of video in society. One of the main challenges confronting us in the era of information technology is to - fectively rely on the huge and rapidly growing video data accumulating in large multimedia archives. Innovative video processing and analysis techniques will play an increasingly important role in resolving the difficult task of video search and retrieval. A wide range of video-based applications have benefited from - vances in video search and mining including multimedia information mana- ment, human-computer interaction, security and surveillance, copyright prot- tion, and personal entertainment, to name a few. This book provides an overview of emerging new approaches to video search and mining based on promising methods being developed in the computer vision and image analysis community. Video search and mining is a rapidly evolving discipline whose aim is to capture interesting patterns in video data. It has become one of the core areas in the data mining resear |
| 出版日期 | Book 2010 |
| 关键词 | Video Retrieval; calculus; classification; clustering; cognition; computational intelligence; computer vis |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-12900-1 |
| isbn_softcover | 978-3-642-26343-9 |
| isbn_ebook | 978-3-642-12900-1Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2010 |
发表于 2025-3-21 19:27:02
