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» From Video Shot Clustering to Sequence Segmentation
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FGR
2002
IEEE
189views Biometrics» more  FGR 2002»
15 years 4 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»
15 years 1 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»
15 years 1 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
16 years 1 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»
15 years 4 months 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...