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» Annotator Rationales for Visual Recognition
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ICCV
2009
IEEE
15 years 13 days ago
Weakly supervised discriminative localization and classification: a joint learning process
Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first ...
Minh Hoai Nguyen, Lorenzo Torresani, Fernando de l...
ICMCS
2007
IEEE
155views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Hidden Maximum Entropy Approach for Visual Concept Modeling
Recently, the bag-of-words approach has been successfully applied to automatic image annotation, object recognition, etc. The method needs to first quantize an image using the vis...
Sheng Gao, Joo-Hwee Lim, Qibin Sun
PCM
2001
Springer
223views Multimedia» more  PCM 2001»
13 years 12 months ago
VizWear: Toward Human-Centered Interaction through Wearable Vision and Visualization
Abstract. In this paper, we discuss the development of wearable systems which we collectively term VizWear. Vision plays an important role in both people's and computers'...
Takeshi Kurata, Takashi Okuma, Masakatsu Kourogi, ...
CVPR
2010
IEEE
14 years 1 months ago
Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Pradeep Natarajan, Vivek Singh, Ram Nevatia
MTA
2002
195views more  MTA 2002»
13 years 7 months ago
Shot Partitioning Based Recognition of TV Commercials
Digital video applications exploit the intrinsic structure of video sequences. In order to obtain and represent this structure for video annotation and indexing tasks, the main ini...
Juan María Sánchez, Xavier Binefa, J...