Skip to main content
DORAS
DCU Online Research Access Service
Login (DCU Staff Only)
Coherent segmentation of video into syntactic regions

Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389, Adamek, Tomasz, Le Borgne, Hervé orcid logoORCID: 0000-0003-0520-8436, Smyth, Oliver, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 and de Burca, Seán (2005) Coherent segmentation of video into syntactic regions. In: IMVIP 2005 - 9th Irish Machine Vision and Image Processing Conference, 30-31 August 2005, Belfast, Northern Ireland.

  • Abstract
  • Metadata
  • Downloads
  • Documents
[+][-]
Abstract
In this paper we report on our work in realising an approach to video shot matching which involves automatically segmenting video into abstract intertwinded shapes in such a way that there is temporal coherency. These shapes representing approximations of objects and background regions can then be matched giving fine-grained shot-shot matching. The main contributions of the paper are firstly the extension of our segmentation algorithm for still images to spatial segmentation in video, and secondly the introduction a measurement of temporal coherency of the spatial segmentation. This latter allows us to quantitatively demonstrate the effectiveness of our approach on real video data.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > Adaptive Information Cluster (AIC)
Publisher:School of Computer Science, Queens University Belfast
Official URL:http://www.cs.qub.ac.uk/imvip2005/
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 03/IN.3/I361, European Commission FP6-001765, Enterprise Ireland
ID Code:316
Deposited On:12 Mar 2008 by DORAS Administrator . Last Modified 09 Nov 2018 10:33
Documents

Full text available as:

[thumbnail of imvip_2005.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
225kB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record

  • Student Email
  • Staff Email
  • Student Apps
  • Staff Apps
  • Loop
  • Disclaimer
  • Privacy
  • Contact Us