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» Video Objects Segmentation by Robust Background Modeling
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141
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AMR
2005
Springer
100views Multimedia» more  AMR 2005»
15 years 8 months ago
Using Segmented Objects in Ostensive Video Shot Retrieval
This paper presents a system for video shot retrieval in which shots are retrieved based on matching video objects using a combination of colour, shape and texture. Rather than mat...
Sorin Sav, Hyowon Lee, Alan F. Smeaton, Noel E. O'...
ICIP
1998
IEEE
16 years 4 months ago
A Neural Network based Scheme for Unsupervised Video Object Segmentation
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
115
Voted
ICIP
2008
IEEE
16 years 4 months ago
A ground truth for motion-based video-object segmentation
This paper describes the design procedure followed to generate a ground truth for the evaluation of motion-based algorithms for video-object segmentation. A thorough review and cl...
Fabricio Tiburzi, Jesús Bescós, Jos&...
140
Voted
CVPR
2012
IEEE
13 years 5 months ago
Unsupervised co-segmentation through region matching
Co-segmentation is defined as jointly partitioning multiple images depicting the same or similar object, into foreground and background. Our method consists of a multiplescale mu...
José C. Rubio, Joan Serrat, Antonio M. L&oa...
156
Voted
ICCV
2011
IEEE
14 years 2 months ago
Robust Object Pose Estimation via Statistical Manifold Modeling
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
Liang Mei, Jingen Liu, Alfred Hero, Silvio Savares...