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CIVR
2004
Springer
141views Image Analysis» more  CIVR 2004»
14 years 9 days ago
Natural Scene Retrieval Based on a Semantic Modeling Step
In this paper, we present an approach for the retrieval of natural scenes based on a semantic modeling step. Semantic modeling stands for the classification of local image regions...
Julia Vogel, Bernt Schiele
WAPCV
2004
Springer
14 years 8 days ago
A Visual Attention-Based Approach for Automatic Landmark Selection and Recognition
Visual attention refers to the ability of a vision system to rapidly detect visually salient locations in a given scene. On the other hand, the selection of robust visual landmarks...
Nabil Ouerhani, Heinz Hügli, Gabriel Gruener,...
CVPR
2006
IEEE
14 years 9 months ago
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
This paper presents a method for recognizing scene categories based on approximate global geometric correspondence. This technique works by partitioning the image into increasingl...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
CRV
2006
IEEE
187views Robotics» more  CRV 2006»
13 years 10 months ago
Confidence Based updation of Motion Conspicuity in Dynamic Scenes
Computational models of visual attention result in considerable data compression by eliminating processing on regions likely to be devoid of meaningful content. While saliency map...
Vivek Kumar Singh, Subhransu Maji, Amitabha Mukerj...
ICASSP
2011
IEEE
12 years 10 months ago
A visual attention model combining top-down and bottom-up mechanisms for salient object detection
Selective attention in the human visual system is performed as the way that humans focus on the most important parts when observing a visual scene. Many bottom-up computational mo...
Yuming Fang, Weisi Lin, Chiew Tong Lau, Bu-Sung Le...