Dissertation/Thesis Abstract

Content Extraction Based on Video Co-Segmentation
by Guo, Jiaming, Ph.D., National University of Singapore (Singapore), 2014, 137; 10006005
Abstract (Summary)

Given a set of images or videos having common content, the objective of co-segmentation is to simultaneously segment the set of images or videos to extract this common content. The term “common content” here refers to the image or video regions that depict the same thing, which, in most of the cases, is the theme of the input images or videos acknowledged by the user. Most previous approaches focus on image co-segmentation, while recently, more and more attempts have been made on the problem of video co-segmentation, which presents much more complexity and difficulty than image segmentation. In this thesis, we address the challenge of video co-segmentation and develop techniques for common content extraction. (Abstract shortened by UMI.)

Indexing (document details)
School: National University of Singapore (Singapore)
Department: Electrical & Computer Engineering
School Location: Republic of Singapore
Source: DAI-B 77/06(E), Dissertation Abstracts International
Subjects: Electrical engineering
Publication Number: 10006005
ISBN: 978-1-339-43874-0
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