TY - GEN
T1 - Supervised local sparse coding of sub-image features for image retrieval
AU - Thiagarajan, Jayaraman J.
AU - Natesan Ramamurthy, Karthikeyan
AU - Sattigeri, Prasanna
AU - Spanias, Andreas
PY - 2012/12/1
Y1 - 2012/12/1
N2 - The success of sparse representations in image modeling and recovery has motivated its use in computer vision applications. Image retrieval and classification tasks require extracting features that discriminate different image classes. State-of-the-art object recognition methods based on sparse coding use spatial pyramid features obtained from dense descriptors. In this paper, we develop a feature extraction method that uses multiple global/local features extracted from large overlapping regions of an image, which we refer to as sub-images. We propose a procedure for dictionary design and supervised local sparse coding of sub-image heterogeneous features. We perform image retrieval on the Microsoft Research Cambridge image dataset and show that the proposed features outperform the spatial pyramid features obtained using dense descriptors.
AB - The success of sparse representations in image modeling and recovery has motivated its use in computer vision applications. Image retrieval and classification tasks require extracting features that discriminate different image classes. State-of-the-art object recognition methods based on sparse coding use spatial pyramid features obtained from dense descriptors. In this paper, we develop a feature extraction method that uses multiple global/local features extracted from large overlapping regions of an image, which we refer to as sub-images. We propose a procedure for dictionary design and supervised local sparse coding of sub-image heterogeneous features. We perform image retrieval on the Microsoft Research Cambridge image dataset and show that the proposed features outperform the spatial pyramid features obtained using dense descriptors.
KW - Local linear modeling
KW - Sparse coding
KW - dictionary learning
KW - image retrieval
UR - http://www.scopus.com/inward/record.url?scp=84875854962&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875854962&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2012.6467560
DO - 10.1109/ICIP.2012.6467560
M3 - Conference contribution
AN - SCOPUS:84875854962
SN - 9781467325332
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 3117
EP - 3120
BT - 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
T2 - 2012 19th IEEE International Conference on Image Processing, ICIP 2012
Y2 - 30 September 2012 through 3 October 2012
ER -