English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Improved Image Boundaries for Better Video Segmentation

Khoreva, A., Benenson, R., Galasso, F., Hein, M., & Schiele, B. (2016). Improved Image Boundaries for Better Video Segmentation. In G. Hua, & H. Jégou (Eds.), Computer Vision -- ECCV 2016 Workshops (pp. 773-788). Berlin: Springer. doi:10.1007/978-3-319-49409-8_64.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-FD0F-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-21EF-0
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Khoreva, Anna1, Author           
Benenson, Rodrigo1, Author           
Galasso, Fabio2, Author           
Hein, Matthias2, Author
Schiele, Bernt1, Author                 
Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

Content

show
hide
Free keywords: Computer Science, Computer Vision and Pattern Recognition, cs.CV
 Abstract: Graph-based video segmentation methods rely on superpixels as starting point. While most previous work has focused on the construction of the graph edges and weights as well as solving the graph partitioning problem, this paper focuses on better superpixels for video segmentation. We demonstrate by a comparative analysis that superpixels extracted from boundaries perform best, and show that boundary estimation can be significantly improved via image and time domain cues. With superpixels generated from our better boundaries we observe consistent improvement for two video segmentation methods in two different datasets.

Details

show
hide
Language(s): eng - English
 Dates: 2016-05-12201620162016
 Publication Status: Issued
 Pages: 15 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: KhorevaetalECCVW16ImprovedBoundaries
DOI: 10.1007/978-3-319-49409-8_64
 Degree: -

Event

show
hide
Title: The Second International Workshop on Video Segmentation
Place of Event: Amsterdam, The Netherlands
Start-/End Date: 2016-10-10 - 2016-10-10

Legal Case

show

Project information

show

Source 1

show
hide
Title: Computer Vision -- ECCV 2016 Workshops
  Other : ECCV 2016 W20 Video Segmentation
  Other : ECCV W20, The Second International Workshop on Video Segmentation
  Other : IWVS 2016
  Abbreviation : ECCV W20
  Subtitle : Amsterdam, The Netherlands, October 8-10 and 15-16, 2016 ; Proceedings, Part III
Source Genre: Proceedings
 Creator(s):
Hua, Gang1, Editor
Jégou, Hervè1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 773 - 788 Identifier: ISBN: 978-3-319-49408-1

Source 2

show
hide
Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 9915 Sequence Number: - Start / End Page: - Identifier: -