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» Combined visual attention model for video sequences
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ICRA
2006
IEEE
223views Robotics» more  ICRA 2006»
16 years 3 days 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 10 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 11 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
MICCAI
2003
Springer
16 years 7 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
16 years 6 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