ImageMap: an image indexing method based on spatial similarity

E.G.M. Petrakis; C. Faloutsos; K.-I. Lin

doi:10.1109/tkde.2002.1033768

ImageMap: an image indexing method based on spatial similarity

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2002.1033768 ◽

2002 ◽

Vol 14 (5) ◽

pp. 979-987 ◽

Cited By ~ 49

Author(s):

E.G.M. Petrakis ◽

C. Faloutsos ◽

K.-I. Lin

Keyword(s):

Image Indexing ◽

Spatial Similarity ◽

Indexing Method

Download Full-text

An Ancient Graphic Documents Indexing Method Based on Spatial Similarity

Lecture Notes in Computer Science - Graphics Recognition. Recent Advances and New Opportunities ◽

10.1007/978-3-540-88188-9_13 ◽

2008 ◽

pp. 126-134 ◽

Cited By ~ 3

Author(s):

Ali Karray ◽

Jean-Marc Ogier ◽

Slim Kanoun ◽

Mohamed Adel Alimi

Keyword(s):

Spatial Similarity ◽

Indexing Method

Download Full-text

Spatial similarity-based retrievals and image indexing by hierarchical decomposition

Proceedings of the 1997 International Database Engineering and Applications Symposium (Cat. No.97TB100166) ◽

10.1109/ideas.1997.625690 ◽

2002 ◽

Cited By ~ 7

Author(s):

I. Ahmad ◽

W.I. Grosky

Keyword(s):

Image Indexing ◽

Hierarchical Decomposition ◽

Spatial Similarity

Download Full-text

Study on efficient image indexing method based on adaptive fuzzy clustering

2010 2nd International Conference on Industrial and Information Systems ◽

10.1109/indusis.2010.5565642 ◽

2010 ◽

Author(s):

Zhang Tie Jun ◽

Chen Duo

Keyword(s):

Fuzzy Clustering ◽

Image Indexing ◽

Adaptive Fuzzy ◽

Indexing Method

Download Full-text

Compressed domain JPEG2000 image indexing method employing full packet header information

2008 International Workshop on Content-Based Multimedia Indexing ◽

10.1109/cbmi.2008.4564976 ◽

2008 ◽

Cited By ~ 1

Author(s):

Farzad Zargari ◽

Ali Mosleh ◽

Mohammad Ghanbari

Keyword(s):

Image Indexing ◽

Compressed Domain ◽

Indexing Method ◽

Packet Header

Download Full-text

Symbolic image indexing and retrieval by spatial similarity: An approach based on B-tree

Pattern Recognition ◽

10.1016/j.patcog.2007.09.012 ◽

2008 ◽

Vol 41 (6) ◽

pp. 2068-2085 ◽

Cited By ~ 15

Author(s):

P. Punitha ◽

D.S. Guru

Keyword(s):

Image Indexing ◽

Spatial Similarity ◽

Indexing And Retrieval ◽

Image Indexing And Retrieval ◽

Symbolic Image

Download Full-text

An Efficient Image Indexing Method Based on Spectral Hashing with Semantically Consistent Sparcified Graph Laplacian Approach

International Journal of Computer Trends and Technology ◽

10.14445/22312803/ijctt-v15p106 ◽

2014 ◽

Vol 15 (1) ◽

pp. 27-30

Author(s):

M.Preme sudha ◽

◽

P Kavitha

Keyword(s):

Graph Laplacian ◽

Image Indexing ◽

Indexing Method

Download Full-text

A new non-segmentation shape-based image indexing method

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). ◽

10.1109/icassp.2003.1199096 ◽

2003 ◽

Cited By ~ 1

Author(s):

F. Mahmoudi ◽

J. Shanbehzadeh ◽

A.-M. Eftekhari-Moghadam ◽

H. Soltanian-Zadeh

Keyword(s):

Image Indexing ◽

Indexing Method

Download Full-text

An Efficient Image Indexing Method Based on Class Specific Hyper Graph

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.513-517.2914 ◽

2014 ◽

Vol 513-517 ◽

pp. 2914-2918

Author(s):

Kun Lu ◽

Sheng Ping Xia ◽

Song Hua He

Keyword(s):

Image Data ◽

Image Database ◽

Image Indexing ◽

Original Image ◽

Indexing Method ◽

Clustering Center

An efficient image indexing method based on class specific hyper graph is proposed. The presented indexing method works efficiently and the relevance of the original image data is enhanced. Because of that an ordered image database benefits the efficient searching. The relevance of images depends on the similarity between different images. According to clustering theory, we can take any sample image in the database as one clustering center, and then the siblings of the center and their siblings are consistently searched, which is known as similarity spread. After that, the disordered image database is sorted out and the searching result is not tedious any more. The proposed method has been tested by an open arts press image database, which shows that our method can obviously improve the indexing speed. Moreover, the indexing results make the whole image searching system capable of association.

Download Full-text