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» Adaptive Key Frame Extraction using Unsupervised Clustering
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ICIP
2007
IEEE
13 years 11 months ago
Key-Places Detection and Clustering in Movies Using Latent Aspects
We describe a new method to find and cluster recurrent keyplaces in a movie. It consists of an unsupervised classification of shots that are taking place in the same physical loca...
Maguelonne Héritier, Samuel Foucher, Langis...
HLK
2003
IEEE
13 years 10 months ago
Pose-Based Clustering in Action Sequences
A method is presented for automatically extracting key frames from an image sequence. The sequence is divided into clusters of frames with similar appearance, and the most central...
Gareth Loy, Josephine Sullivan, Stefan Carlsson
FGR
2006
IEEE
217views Biometrics» more  FGR 2006»
13 years 11 months ago
Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance Manifolds
An unsupervised nonparametric approach is proposed to automatically extract representative face samples (exemplars) from a video sequence or an image set for multipleshot face rec...
Wei Fan, Dit-Yan Yeung
ICPR
2008
IEEE
13 years 11 months ago
Dual clustering for categorization of action sequences
This paper proposes a novel algorithm for categorization of action video sequences using unsupervised dual clustering. Given a video database, we extract motion information of act...
Joanna Cheng, Liang Wang, Christopher Leckie
ICIP
2006
IEEE
14 years 6 months ago
Content-Adaptive Video Summarization Combining Queueing and Clustering
This paper presents an efficient three-step algorithm to compute key frames for summarization and indexing of digital videos. In the preprocessing step, we remove the video frames...
Tiecheng Liu, Ravi Katpelly