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Proceedings Paper

Hierarchical semiautomatic video object segmentation for multimedia applications
Author(s): Saman Cooray; Noel E. O'Connor; Sean Marlow; Noel A. Murphy; Thomas Curran
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Paper Abstract

In this paper, an efficient tool to extract video objects from video sequences is presented. With this tool, it is possible to segment video content in a user-friendly manner to provide easy manipulation of video content. The tool is comprised of two stages. Firstly, the initial object extraction is performed using the Recursive Shortest Spanning Tree (RSST) algorithm and the Binary Partition Tree (BPT) technique. Secondly, automatic object tracking is performed using a single frame forward region tracking method. In the first stage, an initial partition is created using the RSST algorithm which allows the user to specify the initial number of regions. This process is followed by progressive binary merging of these regions to create the BPT. The purpose of creating the BPT is to allow the user to browse the content of the scene in a hierarchical manner. This merging step creates the binary tree with nearly double the user-specified number of homogenous regions. User interaction then allows grouping particular regions into objects. In the second stage, each subsequent frame is segmented using the RSST and corresponding regions are identified using a forward region tracking method.

Paper Details

Date Published: 20 July 2001
PDF: 10 pages
Proc. SPIE 4519, Internet Multimedia Management Systems II, (20 July 2001); doi: 10.1117/12.434266
Show Author Affiliations
Saman Cooray, Dublin City Univ. (Ireland)
Noel E. O'Connor, Dublin City Univ. (Ireland)
Sean Marlow, Dublin City Univ. (Ireland)
Noel A. Murphy, Dublin City Univ. (Ireland)
Thomas Curran, Dublin City Univ. (Ireland)

Published in SPIE Proceedings Vol. 4519:
Internet Multimedia Management Systems II
John R. Smith; Sethuraman Panchanathan; C.-C. Jay Kuo; Chinh Le, Editor(s)

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