視覚的ビッグデータ解析 Big Visual Data Analysis〈1st ed. 2016〉 : Scene Classification and Geometric Labeling

著者名：Chen, Chen/Ren, Yuzhuo/Kuo, C.-C. Jay

Springer（2016/02/24発売）

• 言語：ENG
• ISBN：9789811006296
• eISBN：9789811006319

Description

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, outdoorscene classification, and outdoor scene layout estimation. It is illustrated with numerous naturaland synthetic color images,and extensive statistical analysis is provided to help readers visualize big visualdata distribution and the associatedproblems. Although therehas been some research on big visual data analysis, little workhas been published on big image data distribution analysis using the modernstatistical approach described in thisbook. By presenting a complete methodology on big visual data analysis withthree illustrative scene comprehensionproblems, it provides ageneric framework that canbe applied to other big visual data analysis tasks.

Table of Contents

Introduction.-Scene Understanding Datasets.- Indoor/Outdoor classification with MultipleExperts.- Outdoor Scene Classification Using Labeled Segments.- Global-AttributesAssisted Outdoor Scene Geometric Labeling.- Conclusion and Future Work.