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» From Video Shot Clustering to Sequence Segmentation
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TRECVID
2008
13 years 10 months ago
University of Sheffield at TRECVID 2008: Rushes Summarisation and Video Copy Detection
This paper presents our experiments on TRECVID workshop 2008. This year we participated in two challenging tasks, rushes video summarisation and video copy detection tasks. We stu...
Siripinyo Chantamunee, Yoshihiko Gotoh
PCM
2001
Springer
150views Multimedia» more  PCM 2001»
14 years 28 days ago
Unsupervised Analysis of Human Gestures
Recognition of human gestures is important for analysis and indexing of video. To recognize human gestures on video, generally a large number of training examples for each individu...
Tianshu Wang, Heung-Yeung Shum, Ying-Qing Xu, Nann...
CVPR
2005
IEEE
14 years 10 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002
ECAI
2000
Springer
14 years 25 days ago
Action Categorization from Video Sequences
This article presents a framework for extracting relevant qualitative chunks from a video sequence. The notion of qualitative descriptors, used to perform the qualitative extracti...
Jean-Christophe Baillie, Jean-Gabriel Ganascia
CVPR
2012
IEEE
11 years 11 months ago
Higher order motion models and spectral clustering
Motion segmentation based on point trajectories can integrate information of a whole video shot to detect and separate moving objects. Commonly, similarities are defined between ...
Peter Ochs, Thomas Brox