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Interactive Co-segmentation of Objects in Image Collections

  • Book
  • © 2011

Overview

Authors:
  1. Dhruv Batra

    1. Toyota Technological Institute at Chicag, Chicago, USA

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  2. Adarsh Kowdle

    1. Cornell University, Ithaca, USA

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  3. Devi Parikh

    1. Toyota Technological Institute at Chicag, Chicago, USA

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  4. Jiebo Luo

    1. Kodak Research Laboratories, Rochester, USA

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  5. Tsuhan Chen

    1. Cornell University, Ithaca, USA

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Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Table of contents (4 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Introduction

    • Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jiebo Luo, Tsuhan Chen
    Pages 1-6

  3. An Approach to Interactive Co-segmentation

    • Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jiebo Luo, Tsuhan Chen
    Pages 7-33

  4. Applications

    • Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jiebo Luo, Tsuhan Chen
    Pages 35-44

  5. Future of Co-segmentation

    • Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jiebo Luo, Tsuhan Chen
    Pages 45-46
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Keywords

About this book

The authors survey a recent technique in computer vision called Interactive Co-segmentation, which is the task of simultaneously extracting common foreground objects from multiple related images. They survey several of the algorithms, present underlying common ideas, and give an overview of applications of object co-segmentation.

Authors and Affiliations

  • Toyota Technological Institute at Chicag, Chicago, USA

    Dhruv Batra, Devi Parikh

  • Cornell University, Ithaca, USA

    Adarsh Kowdle, Tsuhan Chen

  • Kodak Research Laboratories, Rochester, USA

    Jiebo Luo

Bibliographic Information

  • Book Title: Interactive Co-segmentation of Objects in Image Collections

  • Authors: Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jiebo Luo, Tsuhan Chen

  • Series Title: SpringerBriefs in Computer Science

  • DOI: https://doi.org/10.1007/978-1-4614-1915-0

  • Publisher: Springer New York, NY

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Author(s) 2011

  • Softcover ISBN: 978-1-4614-1914-3Published: 08 November 2011

  • eBook ISBN: 978-1-4614-1915-0Published: 09 November 2011

  • Series ISSN: 2191-5768

  • Series E-ISSN: 2191-5776

  • Edition Number: 1

  • Number of Pages: X, 46

  • Number of Illustrations: 34 b/w illustrations

  • Topics: Image Processing and Computer Vision

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