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» Combined visual attention model for video sequences
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110
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ICRA
2006
IEEE
223views Robotics» more  ICRA 2006»
15 years 3 months ago
Real-time 3D Model-based Tracking: Combining Edge and Texture Information
— This paper proposes a real-time, robust and efficient 3D model-based tracking algorithm. A non linear minimization approach is used to register 2D and 3D cues for monocular 3D...
Muriel Pressigout, Éric Marchand
MM
2009
ACM
199views Multimedia» more  MM 2009»
15 years 2 months ago
Consumer video retargeting: context assisted spatial-temporal grid optimization
Pervasive multimedia devices require accurate video retargeting, especially in connected consumer electronics platforms. In this paper, we present a context assisted spatialtempor...
Liang Shi, Jinqiao Wang, Lingyu Duan, Hanqing Lu
CIVR
2005
Springer
147views Image Analysis» more  CIVR 2005»
15 years 3 months ago
A Comparison of Score, Rank and Probability-Based Fusion Methods for Video Shot Retrieval
It is now accepted that the most e ective video shot retrieval is based on indexing and retrieving clips using multiple, parallel modalities such as text-matching, image-matching a...
Kieran McDonald, Alan F. Smeaton
77
Voted
MICCAI
2003
Springer
15 years 10 months ago
Episode Classification for the Analysis of Tissue/Instrument Interaction with Multiple Visual Cues
The assessment of surgical skills for Minimally Invasive Surgery (MIS) has traditionally been conducted with visual observation and objective scoring. This paper presents a practic...
Benny P. L. Lo, Ara Darzi, Guang-Zhong Yang
ICIAP
2007
ACM
15 years 9 months ago
Video Objects Segmentation by Robust Background Modeling
This paper deals with the problem of segmenting a video shot into a background (still) mosaic and one or more foreground moving objects. The method is based on ego-motion compensa...
Andrea Colombari, Andrea Fusiello, Vittorio Murino