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117
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ECIR
2010
Springer
15 years 4 months ago
Query Difficulty Prediction for Contextual Image Retrieval
Abstract. This paper explores how to predict query difficulty for contextual image retrieval. We reformulate the problem as the task of predicting how difficult to represent a quer...
Xing Xing, Yi Zhang 0001, Mei Han
167
Voted
ACCV
2007
Springer
15 years 6 months ago
A Cascade of Feed-Forward Classifiers for Fast Pedestrian Detection
We develop a method that can detect humans in a single image based on a new cascaded structure. In our approach, both the rectangle features and 1-D edge-orientation features are e...
Yu-Ting Chen, Chu-Song Chen
96
Voted
ICPR
2008
IEEE
16 years 3 months ago
Recognizing actions from still images
In this paper, we approach the problem of understanding human actions from still images. Our method involves representing the pose with a spatial and orientational histogramming o...
Nazli Ikizler, Pinar Duygulu, Ramazan Gokberk Cinb...
172
Voted
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
15 years 9 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
112
Voted
MM
2010
ACM
198views Multimedia» more  MM 2010»
15 years 2 months ago
Analyzing and predicting sentiment of images on the social web
In this paper we study the connection between sentiment of images expressed in metadata and their visual content in the social photo sharing environment Flickr. To this end, we co...
Stefan Siersdorfer, Enrico Minack, Fan Deng, Jonat...