Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/121113
Title: CONTENT EXTRACTION BASED ON VIDEO CO-SEGMENTATION
Authors: GUO JIAMING
Keywords: content extraction, video segmentation, video action co-segmentation, video object co-segmentation, co-saliency, constraint clustering
Issue Date: 24-Dec-2014
Source: GUO JIAMING (2014-12-24). CONTENT EXTRACTION BASED ON VIDEO CO-SEGMENTATION. ScholarBank@NUS Repository.
Abstract: 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 di?culty than image segmentation. In this thesis, we address the challenge of video co-segmentation and develop techniques for common content extraction.
URI: http://scholarbank.nus.edu.sg/handle/10635/121113
Appears in Collections:Ph.D Theses (Open)

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