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» From Video Shot Clustering to Sequence Segmentation
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ICMCS
2008
IEEE
169views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Encoding optimization of low resolution soccer video sequences
In this article we propose an optimization method for encoding low resolution soccer video sequences. The considered video codec is the state of the art H.264/AVC, as recommended ...
Luca Superiori, Markus Rupp
WSCG
2004
174views more  WSCG 2004»
13 years 9 months ago
Objects and Occlusion from Motion Labeling
The problem of segmenting color video sequences is addressed. Boundary motion and occlusion relations expressed by labeling rules are argued to be of key importance for segmentati...
Albert Akhriev, Alexander Bonch-Osmolovsky, Alexan...
WIAMIS
2009
IEEE
14 years 3 months ago
Feature-based video key frame extraction for low quality video sequences
We present an approach to key frame extraction for structuring user generated videos on video sharing websites (e. g. YouTube). Our approach is intended to link existing image sea...
Pascal Kelm, Sebastian Schmiedeke, Thomas Sikora
ICIP
2002
IEEE
14 years 10 months ago
Extract highlights from baseball game video with hidden Markov models
In this paper, we describe a statistical method to detect highlights in a baseball game video. The input video is first segmented into scene shots, within which the camera motion ...
Peng Chang, Mei Han, Yihong Gong
PAMI
2008
179views more  PAMI 2008»
13 years 8 months ago
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
A dynamic texture is a spatio-temporal generative model for video, which represents video sequences as observations from a linear dynamical system. This work introduces the mixtur...
Antoni B. Chan, Nuno Vasconcelos