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» Combining Textual and Visual Features for Image Retrieval
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ICMCS
2005
IEEE
340views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Adaptive local context suppression of multiple cues for salient visual attention detection
Visual attention is obtained through determination of contrasts of low level features or attention cues like intensity, color etc. We propose a new texture attention cue that is s...
Yiqun Hu, Deepu Rajan, Liang-Tien Chia
CIVR
2006
Springer
131views Image Analysis» more  CIVR 2006»
15 years 1 months ago
Exploring the Synergy of Humans and Machines in Extreme Video Retrieval
We introduce an interface for efficient video search that exploits the human ability to quickly scan visual content, after automatic retrieval has arrange the images in expected or...
Alexander G. Hauptmann, Wei-Hao Lin, Rong Yan, Jun...
MICCAI
2008
Springer
15 years 11 months ago
Automatic Guidance of an Ultrasound Probe by Visual Servoing Based on B-Mode Image Moments
We propose a new visual servo approach to automatically control in real-time the full motion of a 2D ultrasound (US) probe held by a medical robot in order to reach a desired image...
Rafik Mebarki, Alexandre Krupa, Christophe Colle...
ICIP
2010
IEEE
14 years 7 months ago
Fast geometric re-ranking for image-based retrieval
We present a fast and efficient geometric re-ranking method that can be incorporated in a feature based image-based retrieval system that utilizes a Vocabulary Tree (VT). We form ...
Sam S. Tsai, David Chen, Gabriel Takacs, Vijay Cha...
DICTA
2009
14 years 11 months ago
Modeling Image Context Using Object Centered Grid
Abstract--Context plays a valuable role in any image understanding task confirmed by numerous studies which have shown the importance of contextual information in computer vision t...
Sobhan Naderi Parizi, Ivan Laptev, Alireza Tavakol...