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» Segmenting Salient Objects from Images and Videos
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ICIP
2006
IEEE
16 years 2 months ago
Background Modeling from GMM Likelihood Combined with Spatial and Color Coherency
This paper proposes to combine spatial and color coherency with the pixel-wise GMM to determine the background model. We first represent each pixel with a hybrid feature vector, w...
Sheng-Yan Yang, Chiou-Ting Hsu
122
Voted
CVPR
2007
IEEE
16 years 2 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren
92
Voted
SAMT
2007
Springer
135views Multimedia» more  SAMT 2007»
15 years 6 months ago
Stopping Region-Based Image Segmentation at Meaningful Partitions
This paper proposes a new stopping criterion for automatic image segmentation based on region merging. The criterion is dependent on image content itself and when combined with the...
Tomasz Adamek, Noel E. O'Connor
88
Voted
ICCV
2003
IEEE
16 years 2 months ago
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter
The algorithm presented in this paper aims to segment the foreground objects in video (e.g., people) given timevarying, textured backgrounds. Examples of time-varying backgrounds ...
Jing Zhong, Stan Sclaroff
ICMCS
2005
IEEE
113views Multimedia» more  ICMCS 2005»
15 years 6 months ago
Highlights extraction from sports video based on an audio-visual marker detection framework
We propose to use a visual object (e.g., the baseball catcher) detection algorithm to find local, semantic objects in video frames in addition to an audio classification algorit...
Ziyou Xiong, Regunathan Radhakrishnan, Ajay Divaka...