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Big visual data analysis [electronic resource] : scene classification and geometric labeling

Big visual data analysis [electronic resource] : scene classification and geometric labeling

자료유형
E-Book(소장)
개인저자
Chen, Chen. Ren, Yuzhuo. Kuo, C.-C. Jay.
서명 / 저자사항
Big visual data analysis [electronic resource] : scene classification and geometric labeling / Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo.
발행사항
Singapore :   Springer Singapore :   Imprint: Springer,   2016.  
형태사항
1 online resource (x, 122 p.) : ill. (some col.).
총서사항
SpringerBriefs in electrical and computer engineering,2191-8112
ISBN
9789811006319
요약
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.
일반주기
Title from e-Book title page.  
내용주기
Introduction -- Scene Understanding Datasets -- Indoor/Outdoor classification with Multiple Experts -- Outdoor Scene Classification Using Labeled Segments -- Global-Attributes Assisted Outdoor Scene Geometric Labeling -- Conclusion and Future Work.
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Information visualization. Visual analytics.
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100 1 ▼a Chen, Chen.
245 1 0 ▼a Big visual data analysis ▼h [electronic resource] : ▼b scene classification and geometric labeling / ▼c Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo.
260 ▼a Singapore : ▼b Springer Singapore : ▼b Imprint: Springer, ▼c 2016.
300 ▼a 1 online resource (x, 122 p.) : ▼b ill. (some col.).
490 1 ▼a SpringerBriefs in electrical and computer engineering, ▼x 2191-8112
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a Introduction -- Scene Understanding Datasets -- Indoor/Outdoor classification with Multiple Experts -- Outdoor Scene Classification Using Labeled Segments -- Global-Attributes Assisted Outdoor Scene Geometric Labeling -- Conclusion and Future Work.
520 ▼a 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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Information visualization.
650 0 ▼a Visual analytics.
700 1 ▼a Ren, Yuzhuo.
700 1 ▼a Kuo, C.-C. Jay.
830 0 ▼a SpringerBriefs in electrical and computer engineering.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-981-10-0631-9
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 001.4226 등록번호 E14024131 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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