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» Semantic based image retrieval: a probabilistic approach
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ICCV
2005
IEEE
16 years 3 months ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
CVPR
2011
IEEE
14 years 11 months ago
Unsupervised Auxiliary Visual Words Discovery for Large-Scale Image Object Retrieval
Image object retrieval – locating image occurrences of specific objects in large-scale image collections – is essential for manipulating the sheer amount of photos. Current s...
Yin-Hsi Kuo, Hsuan-Tien Lin, Wen-Huang Cheng, Yi-H...
CLEF
2004
Springer
15 years 7 months ago
Medical Image Retrieval Using Texture, Locality and Colour
We describe our experiments for the Image CLEF medical retrieval task. Our efforts were focused on the initial visual search. A content based approach was followed. We used textur...
Peter Howarth, Alexei Yavlinsky, Daniel Heesch, St...
TASLP
2010
135views more  TASLP 2010»
14 years 8 months ago
Audio-Based Semantic Concept Classification for Consumer Video
Abstract--This paper presents a novel method for automatically classifying consumer video clips based on their soundtracks. We use a set of 25 overlapping semantic classes, chosen ...
Keansub Lee, Daniel P. W. Ellis
ICCV
2003
IEEE
15 years 7 months ago
Active Concept Learning for Image Retrieval in Dynamic Databases
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
Anlei Dong, Bir Bhanu