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» From Video Shot Clustering to Sequence Segmentation
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FGR
2002
IEEE
189views Biometrics» more  FGR 2002»
14 years 1 months ago
Clustering Contextual Facial Display Sequences
We describe a method for learning classes of facial motion patterns from video of a human interacting with a computerized embodied agent. The method also learns correlations betwe...
Jesse Hoey
SPIESR
2001
133views Database» more  SPIESR 2001»
13 years 9 months ago
Shot detection combining Bayesian and structural information
There are a number of shots in a video, each of which has boundary types, such as cut, fade, dissolve and wipe. Many previous approaches can find the cut boundary without difficul...
Seung-Hoon Han, In-So Kweon
MVA
2000
165views Computer Vision» more  MVA 2000»
13 years 9 months ago
Bayesian Shot Detection Using Structural Weighting
A video stream consists of a number of shots each of which has different boundary types such as cut, fade, and dissolve. Many previous approaches can find the cut boundary without...
Seung-Hoon Han, In-So Kweon, Chang-Yeong Kim, Yang...
ICIP
2004
IEEE
14 years 10 months ago
Constant quality rate-control for video encoding based on activity segmentation
An enhanced, off-line, segment-based rate control approach is proposed for controlling the distortion variation across successive segments of a video sequence when encoding with s...
Luk Overmeire, Fabio Verdicchio, Joeri Barbarien, ...
ICMCS
1999
IEEE
172views Multimedia» more  ICMCS 1999»
14 years 23 days ago
Scene Determination Based on Video and Audio Features
Determining automatically what constitutes a scene in a video is a challenging task, particularly since there is no precise definition of the term "scene". It is left to...
Rainer Lienhart, Silvia Pfeiffer, Wolfgang Effelsb...