Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
The challenge problem for automated detection of 101 semantic concepts in multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Language modeling for bag-of-visual words image categorization
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
An efficient indexing structure for multimedia data
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Clustering by random projections
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
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In this paper, we propose a framework to consider both the efficiency and effectiveness to achieve the trade-off in performance of Content Based Image Retrieval (CBIR). This framework includes: (i) concept based classification to classify images into different semantic concept groups and narrows down the search domain in retrieval; (ii) Feature selection model to analysis the relationship between queries and concept classes to reduce feature dimension; (iii) Multidimensional vector space indexing structure for real-time access to reduce the retrieval cost. In our experiments, we study the efficiency and the effectiveness of our method using one public collection and compared with one of state of the art methods.