From Video Shot Clustering to Sequence Segmentation - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2000

From Video Shot Clustering to Sequence Segmentation


Segmenting video documents into sequences from elementary shots to supply an appropriate higher level description of the video is a challenging task. This paper presents a two-stage method. First, we build a binary agglomerative hierarchical time-constrained shot clustering. Second, based on the cophenetic criterion, a breaking distance between shots is computed to detect sequence changes. Various options are implemented and compared. Real experiments have proved that the proposed criterion can be efficiently used to achieve appropriate segmentation into sequences.
Fichier principal
Vignette du fichier
VRB00.pdf (369.03 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inria-00545119 , version 1 (01-09-2014)



Emmanuel Veneau, Rémi Ronfard, Patrick Bouthemy. From Video Shot Clustering to Sequence Segmentation. International Conference on Pattern Recognition, IEEE, 2000, Barcelone, Spain. pp.254-257, ⟨10.1109/ICPR.2000.902907⟩. ⟨inria-00545119⟩
182 View
167 Download



Gmail Facebook X LinkedIn More