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» Boosting multi-modal camera selection with semantic features
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TMM
2010
241views Management» more  TMM 2010»
13 years 2 months ago
Mining Compositional Features From GPS and Visual Cues for Event Recognition in Photo Collections
As digital cameras with Global Positioning System (GPS) capability become available and people geotag their photos using other means, it is of great interest to annotate semantic e...
Junsong Yuan, Jiebo Luo, Ying Wu
ISM
2006
IEEE
187views Multimedia» more  ISM 2006»
14 years 1 months ago
Camera View-Based American Football Video Analysis
We present a top-down statistical modeling approach to explore the semantic structure in the American football video. First, a semantic space is defined where the video semantic ...
Yi Ding, Guoliang Fan
MM
2005
ACM
178views Multimedia» more  MM 2005»
14 years 1 months ago
Attention region selection with information from professional digital camera
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
Song Liu, Liang-Tien Chia, Deepu Rajan
CVPR
2009
IEEE
13 years 11 months ago
Learning to associate: HybridBoosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
Yuan Li, Chang Huang, Ram Nevatia
ECCV
2006
Springer
14 years 9 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...