Adaptive Hierarchical Density Histogram for complex binary image retrieval

Proceedings - International Workshop on Content-Based Multimedia Indexing

Volumn , Issue , 2010, Pages 182-187

  Sidiropoulos, Panagiotis ^a   Vrochidis, Stefanos ^a   Kompatsiaris, Ioannis ^a  

^a INFORMATICS AND TELEMATICS INSTITUTE   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COSTS; DESCRIPTORS; HIERARCHICAL DECOMPOSITIONS; HIGH POTENTIAL; IMAGE POINTS; PYRAMIDAL DECOMPOSITION; RECTANGULAR REGIONS; RECURSIVE CALCULATIONS;

BINARY IMAGES; IMAGE RETRIEVAL; INDEXING (OF INFORMATION);

GRAPHIC METHODS;

EID: 77956605928     PISSN: 19493991     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMI.2010.5529904     Document Type: Conference Paper

References (13)

1. M. Hu, Visual pattern recognition by moment invariants, IRE Transactions of Information Theory 8 (1962) 179-187.
2. A.K. Jain and A. Vailaya, Image retrieval using color and shape, Pattern Recognition, 29 (1996) 1233-1244.
3. A.K. Jain and A. Vailaya, Shape-based retrieval: a case study with trademark image database, Pattern Recognition 31 (1998) 1369-1390.
4. J. Poel, C. de Almeida, L. Batista, A new multi-scale, curvature-based shape representation technique for image retrieval based on dsp techniques, In: Proceedings of the Fifth International Conference on Hybrid Intelligent Systems, Rio de Janeiro, Brazil, 2005, pp. 373-378.
5. F. Mahmoudi, J. Shanbehzadeh, A.-M. Eftekhari-Moghadam, H. Soltanian-Zadeh, Image retrieval based on shape similarity by edge orientation autocorrelogram, Pattern Recognition 36 (2003) 1725-1736.
6. M. Yang, G. Qiu, Y. Huang, D. Elliman, Near-Duplicate Image Recognition and Content-based Image Retrieval using Adaptive Hierarchical Geometric Centroids, In: Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), Hong Kong, China, 2006, pp. 958-961.
7. B. Huet, N. J. Kern, G. Guarascio and B. Merialdo, Relational Skeletons For Retrieval In Patent Drawings, In: Proceedings of International Conference in Image Processing (ICIP 2001), Thessaloniki, Greece, 2001, pp. 737-740.
8. B. Huet and E. R. Hancock, Fuzzy relational distance for large-scale object recognition, In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 1998), Santa Barbara, California, USA, 1998, pp. 138-143.
9. A. Tiwari, V. Bansal, PATSEEK: Content Based Image Retrieval System for Patent Database, In: Proceedings of International Conference on Electronic Business, Beijing, China, 2004, pp. 1167-1171.
10. G. Zhu, X. Yu, Y. Li, D. Doermann, Learning visual shape lexicon for document image content recognition, In: Proceedings of the 10th European Conference on Computer Vision, Marseille, France, 2008, pp. 745-758.
11. X. Yu, Y. Li, C. Fermuller, D. Doermann, Object detection using a shape codebook, In: British Machine Vision Conference, 2007.
12. C.-H. Wei, , Y. Li, , W.-Y. Chau, and C.-T. Li, Trademark image retrieval using synthetic features for describing global shape and interior structure, Pattern Recognition 42 (2009) 386-394.
13. D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision 60 (2004) 91-110.