Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

10

ICPR
2000
IEEE

favoriteEmaildiscussreport

86views computer vision» more ICPR 2000»

From Video Shot Clustering to Sequence Segmentation

13 years 9 months ago

From Video Shot Clustering to Sequence Segmentation

Download emmanuel.veneau.fr

Automatically building high-level segments to structure information in video documents is a challenging task. This paper presents a method based on the cophenetic criterion, a distance between clustered shots which detects breaks between sequences. It describes and compares various implemented options. Experiments have proved that the proposed criterion can be used for achieving segmentation.

Emmanuel Veneau, Rémi Ronfard, Patrick Bout

Real-time Traffic

Challenging Task | Cophenetic Criterion | ICPR 2000 | Various Implemented Options |

claim paper

Related Content

» Mining Video Associations for Efficient Database Management

» Statistical Framework for Shot Segmentation and Classification in Sports Video

» Video Scene Segmentation via Continuous Video Coherence

» Video Shot Segmentation and Classification

» Video shot segmentation using fusion of SVD and mutual information features

» Image clustering for the exploration of video sequences

» Determining structure in continuously recorded videos

» A text segmentation based approach to video shot boundary detection

» Medical Video Mining for Efficient Database Indexing Management and Access

Post Info
More Details (n/a)

Added	31 Jul 2010
Updated	31 Jul 2010
Type	Conference
Year	2000
Where	ICPR
Authors	Emmanuel Veneau, Rémi Ronfard, Patrick Bouthemy

Comments (0)