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ICPR
2002
IEEE
14 years 5 months ago
Category-Dependent Feature Extraction for Recognition of Degraded Handwritten Characters
Conventional methods for recognizing multiple fonts and handwriting are generally robust against deformation but are weak against degradation. This paper proposes a category-depen...
Minoru Mori, Minako Sawaki, Norihiro Hagita
ICDAR
2003
IEEE
13 years 9 months ago
Video text recognition using feature compensation as category-dependent feature extraction
When recognizing multiple fonts, geometric features, such as the directional information of strokes, are generally robust against deformation but are weak against degradation. Thi...
Minoru Mori
ICDAR
2011
IEEE
12 years 4 months ago
A New Fourier-Moments Based Video Word and Character Extraction Method for Recognition
— This paper presents a new method based on Fourier and moments features to extract words and characters from a video text line in any direction for recognition. Unlike existing ...
Deepak Rajendran, Palaiahnakote Shivakumara, Bolan...
MIR
2004
ACM
176views Multimedia» more  MIR 2004»
13 years 10 months ago
Analysing the performance of visual, concept and text features in content-based video retrieval
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance wi...
Mika Rautiainen, Timo Ojala, Tapio Seppänen
ICCV
2009
IEEE
2205views Computer Vision» more  ICCV 2009»
14 years 9 months ago
Video stabilization using robust feature trajectories
This paper proposes a new approach for video stabilization. Most existing video stabilization methods adopt a framework of three steps, motion estimation, motion compensation an...
Ken-Yi Lee, Yung-Yu, Chuang Bing-Yu, Chen Ming Ouh...