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ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
16 years 27 days ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
CACM
2010
161views more  CACM 2010»
15 years 5 months ago
Efficiently searching for similar images
As it becomes increasingly viable to capture, store, and share large amounts of image and video data, automatic image analysis is crucial to managing visual information. Many prob...
Kristen Grauman
ICASSP
2011
IEEE
14 years 10 months ago
Superpixel-based object class segmentation using conditional random fields
Object class segmentation (OCS) is a key issue in semantic scene labeling and understanding. Its general principle consists of naming object entities into scenes according to thei...
Xi Li, Hichem Sahbi
SIGIR
2011
ACM
14 years 9 months ago
Bag-of-visual-words vs global image descriptors on two-stage multimodal retrieval
The Bag-Of-Visual-Words (BOVW) paradigm is fast becoming a popular image representation for Content-Based Image Retrieval (CBIR), mainly because of its better retrieval effectiven...
Savvas A. Chatzichristofis, Konstantinos Zagoris, ...
SSDBM
2006
IEEE
123views Database» more  SSDBM 2006»
16 years 18 days ago
Mining Hierarchies of Correlation Clusters
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
Elke Achtert, Christian Böhm, Peer Kröge...