Distancecut: Interactive segmentation and matting of images and videos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

31 Scopus citations

Abstract

An interactive algorithm for soft segmentation and matting of natural Images and videos is presented in this paper. The technique follows and extends [10], where the user first roughly scribbles/labels different regions of interest, and from them the whole data is automatically segmented. The segmentation and alpha matte are obtained from the fast, linear complexity, computation of weighted distances to the user-provided scribbles. These weighted distances assign probabilities to each labeled class for every pixel. The weights are derived from models of the image regions obtained from the user provided scribbles via kernel density estimation. The matting results follow from combining this density and the computed weighted distances. We present the underlying framework and examples showing the capability of the algorithm to segment and compute alpha mattes, in interactive real time, for difficult natural data.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PublisherIEEE Computer Society
Pages249-252
Number of pages4
ISBN (Print)1424414377, 9781424414376
DOIs
StatePublished - 2007
Externally publishedYes
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: Sep 16 2007Sep 19 2007

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2
ISSN (Print)1522-4880

Conference

Conference14th IEEE International Conference on Image Processing, ICIP 2007
Country/TerritoryUnited States
CitySan Antonio, TX
Period9/16/079/19/07

All Science Journal Classification (ASJC) codes

  • General Engineering

Keywords

  • Distance functions
  • Interactive
  • Matting
  • Natural
  • Segmentation

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