Big Visual Data Analysis: Scene Classification and Geometric Labeling (SpringerBriefs in Electrical and Computer Engineering)
暫譯: 大型視覺數據分析:場景分類與幾何標記(電機與計算機工程系列)

Chen Chen

  • 出版商: Springer
  • 出版日期: 2016-03-03
  • 售價: $2,400
  • 貴賓價: 9.5$2,280
  • 語言: 英文
  • 頁數: 132
  • 裝訂: Paperback
  • ISBN: 9811006296
  • ISBN-13: 9789811006296
  • 相關分類: Data Science
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene comprehension problems, indoor/outdoor classification, outdoor scene classification, and outdoor scene layout estimation. It is illustrated with numerous natural and synthetic color images, and extensive statistical analysis is provided to help readers visualize big visual data distribution and the associated problems. Although there has been some research on big visual data analysis, little work has been published on big image data distribution analysis using the modern statistical approach described in this book. By presenting a complete methodology on big visual data analysis with three illustrative scene comprehension problems, it provides a generic framework that can be applied to other big visual data analysis tasks.

商品描述(中文翻譯)

本書提供了傳統大型視覺數據分析方法的概述,並針對幾個場景理解問題、室內/室外分類、戶外場景分類以及戶外場景佈局估計提供了最先進的解決方案。書中配有大量自然和合成的彩色圖像,並提供了廣泛的統計分析,以幫助讀者可視化大型視覺數據的分佈及相關問題。儘管已有一些關於大型視覺數據分析的研究,但使用本書所描述的現代統計方法進行大型影像數據分佈分析的工作卻不多。通過展示針對三個具體場景理解問題的完整大型視覺數據分析方法論,本書提供了一個通用框架,可應用於其他大型視覺數據分析任務。