Text

Big Visual Data Analysis : Scene Classification and Geometric Labeling

---

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.

---

Availability

No copy data

Detail Information

Series Title

-

Call Number

004

Publisher

Singapore : Springer Singapore., 2016

Collation

-

Language

English

ISBN/ISSN

978-981-10-0631-9

Classification

004

Content Type

-

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

DATA KOMPUTER

Specific Detail Info

-

Statement of Responsibility

Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo

Other Information

Cataloger

ratna

Source

https://link.springer.com/book/10.1007/978-981-10-0631-9

Validator

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment