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ICIP
2000
IEEE
14 years 6 months ago
Improved Fade and Dissolve Detection for Reliable Video Segmentation
Ba Tu Truong, Chitra Dorai, Svetha Venkatesh
MVA
2000
165views Computer Vision» more  MVA 2000»
13 years 6 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...
SPIESR
2001
133views Database» more  SPIESR 2001»
13 years 6 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
ICIP
2000
IEEE
14 years 6 months ago
Spatio-Temporal Joint Probability Images for Video Segmentation
In this paper we propose a novel video segmentation algorithm that is capable of reliably detecting both types of dissolves in addition to cuts and wipes based on the analysis of ...
Ze-Nian Li, Jie Wei
ISCAS
2005
IEEE
134views Hardware» more  ISCAS 2005»
13 years 10 months ago
Video shot segmentation using fusion of SVD and mutual information features
— A new method for detecting shot boundaries in video sequences by fusing features obtained by singular value decomposition (SVD) and mutual information (MI) is proposed. The fi...
Zuzana Cernekova, Constantine Kotropoulos, Nikolao...