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» Bayesian Shot Detection Using Structural Weighting
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MVA
2000
165views Computer Vision» more  MVA 2000»
13 years 5 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...
ICMCS
2005
IEEE
99views Multimedia» more  ICMCS 2005»
13 years 9 months ago
Finding the Optimal Temporal Partitioning of Video Sequences
The existing techniques for shot partitioning either process each shot boundary independently or proceed sequentially. The sequential process assumes the last shot boundary is cor...
Ba Tu Truong, Svetha Venkatesh
SPIESR
2001
133views Database» more  SPIESR 2001»
13 years 5 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
CIVR
2009
Springer
221views Image Analysis» more  CIVR 2009»
13 years 10 months ago
Movie segmentation into scenes and chapters using locally weighted bag of visual words
Movies segmentation into semantically correlated units is a quite tedious task due to ”semantic gap”. Low-level features do not provide useful information about the semantical...
Vasileios Chasanis, Argyris Kalogeratos, Aristidis...
ICMCS
2006
IEEE
98views Multimedia» more  ICMCS 2006»
13 years 9 months ago
A Two-Layer Graphical Model for Combined Video Shot and Scene Boundary Detection
In this work we present a novel two-layer hybrid Graphical model for combined shot and scene boundary detection in videos. In the first layer of the model, low-level features are...
Marc Al-Hames, Stefan Zettl, Frank Wallhoff, Steph...