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» Locally Monotonic Models for Image and Video Processing
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ICASSP
2011
IEEE
12 years 11 months ago
Detecting moving objects from dynamic background with shadow removal
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
Shih-Chieh Wang, Te-Feng Su, Shang-Hong Lai
ICIP
2007
IEEE
14 years 9 months ago
Robust Focused Image Estimation from Multiple Images in Video Sequences
In this paper, we propose a novel technique for estimating focused image sequences captured by an out-of-focus camera. The basic concept used in the proposed algorithm employs mul...
Junlan Yang, Dan Schonfeld, Magdi A. Mohamed
ICIP
2009
IEEE
13 years 5 months ago
No-reference temporal quality metric for video impaired by frame freezing artefacts
This paper describes a no-reference temporal quality metric to model the impact of frame freezing impairments on perceived video quality. The proposed metric shows a high correlat...
Quan Huynh-Thu, Mohammed Ghanbari
ICIP
2006
IEEE
14 years 9 months ago
Video Scene Retrieval Based on Local Region Features
This paper describes a novel method for content extraction and scene retrieval for video sequences based on local region descriptors. The local invariant features are obtained for...
Arasanathan Anjulan, Cedric Nishan Canagarajah
ICIP
2008
IEEE
14 years 9 months ago
Surface completion by minimizing energy based on similarity of shape
3D mesh models generated with range scanner or video images often have holes due to many occlusions by other objects and the object itself. This paper proposes a novel method to f...
Norihiko Kawai, Tomokazu Sato, Naokazu Yokoya