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» Capturing image semantics with low-level descriptors
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MM
2006
ACM
203views Multimedia» more  MM 2006»
13 years 11 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
MMM
2009
Springer
93views Multimedia» more  MMM 2009»
14 years 2 months ago
SenseCam Image Localisation Using Hierarchical SURF Trees
The SenseCam is a wearable camera that automatically takes photos of the wearer’s activities, generating thousands of images per day. Automatically organising these images for eï...
Ciarán O. Conaire, Michael Blighe, Noel E. ...
MM
2004
ACM
164views Multimedia» more  MM 2004»
13 years 10 months ago
Mobile media metadata: metadata creation system for mobile images
In the 2003, more camera phones were sold worldwide than digital cameras. With this new platform, we can leverage regularities in the spatio-temporal context and social community ...
Marc Davis
MIR
2005
ACM
141views Multimedia» more  MIR 2005»
13 years 11 months ago
A mutual semantic endorsement approach to image retrieval and context provision
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...
Jia Li
MM
2005
ACM
171views Multimedia» more  MM 2005»
13 years 11 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen