User Review Based Content Image Retrieval Using Voronoi Algorithm

Authors

  • Kalaiyarasi A PG and Research Department of Computer Science, Maruthupandiyar College, Thanjavur.
  • Mala R PG and Research Department of Computer Science, Maruthupandiyar College, Thanjavur

Keywords:

Relevance Feedback, Substance Based Picture Retrieval, Critical Picture Adoption, Voronoi Network

Abstract

Relevance input is a fit inquiry change technique in the field of substance based picture retrieval. The key issue in relevance input is how to enough use the input information to improve the retrieval performance. This paper presents a relevance input scheme using Voronoi network model on the other hand input information adoption. Critical images during previous cycles are sensibly incorporated into the current cycle and the chosen critical images can better capture user’s information need.

References

Jun-yi Wang ; Coll. of Comput. Sci., Inner Mongolia Univ., Huhhot, China ; Xin-ming Ye, “The study of methods for language model based positive and negative relevance feedback in information retrieval”, Published in: Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on (Volume:3) Date of Conference: 29-31 Oct. 2010 Page(s):870 – 873.

Chen Chen ; Coll. of Inf. Tech., Sci. Nankai Univ., Tianjin, China ; Hou Chunyan ; Yuan Xiaojie, “Relevance Feedback Fusion via Query Expansion”, Published in: Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on (Volume:3) Date of Conference: 4-7 Dec. 2012 Page(s): 122 – 126.

Zhang, Wen-jing ; Wang, Jun-yi, “The Study of Methods for Language Model Based Positive and Negative Relevance Feedback in Information Retrieval”, Published in: Information Science and Engineering (ISISE), 2012 International Symposium on Date of Conference: 14-16 Dec. 2012 Page(s): 39 – 43.

Hoi, S.C.H. ; Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China ; Lyu, M.R. ; Rong Jin, “A unified log-based relevance feedback scheme for image retrieval”, Published in: Knowledge and Data Engineering, IEEE Transactions on (Volume:18 , Issue: 4 ) Page(s): 509 – 524 ISSN : 1041-4347.

Araujo, M.R.B. ; Comput. Sci. Dept., Univ. of Sao Paulo, Sao Carlos, Brazil ; Traina, A.J.M. ; Traina, A. ; Bueno, J.M., “Extending relational databases to support content-based retrieval of medical images”, Published in: Computer-Based Medical Systems, 2002. (CBMS 2002). Proceedings of the 15th IEEE Symposium on Date of Conference: 2002 Page(s): 303 – 308.

Chhasatia, N.J. ; Dept. of EC, G.H. Patel Coll. of Eng. & Technol., Anand, India ; Trivedi, C.U. ; Shah, K.A., “Performance evaluation of localized person based scene detection and retrieval in video”, Published in: Image Information Processing (ICIIP), 2013 IEEE Second International Conference on Date of Conference: 9-11 Dec. 2013 Page(s): 78 – 83.

Juan Cheng ; Univ. of Inf. Eng., Henan, China ; Xijian Ping, “Text image retrieval based on generalized normalized picture information measure”, Published in: Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on Date of Conference: 30 Oct.-1 Nov. 2005 Page(s): 503 – 505.

Chhasatia, N.J. ; G.H. Patel Coll. of Eng. & Technol., Anand, India ; Trivedi, C.U. ; Shah, K.A. ; Mankodi, P.R., “Genre based video retrieval using similarity function between feature vectors”, Published in: Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on Date of Conference: 26-28 Dec. 2013 Page(s): 1 – 7.

Bueno, J.M. ; Comput. Sci. Dept., Sao Paulo Univ., Brazil ; Chino, F. ; Traina, A.J.M. ; Traina, A.J.M., “How to add content-based image retrieval capability in a PACS”, Published in: Computer-Based Medical Systems, 2002. (CBMS 2002). Proceedings of the 15th IEEE Symposium on Date of Conference: 2002 Page(s): 321 – 326.

Doyle, R. ; NMRC, Cork, Ireland ; Hentzell, H., “EUROPRACTICE-MCM: a European initiative to create an MCM infrastructure and to stimulate commercial MCM take-up”, Published in: Multichip Modules, 1997., International Conference on Date of Conference: 2-4 Apr 1997 Page(s): 14 – 18.

Rondovic, B. ; Fac. of Econ., Univ. of Montenegro, Podgorica, Montenegro ; Lazovic, V. ; Popovic, Z. ; Durickovic, T., “Determinants of electronic commerce - the factors of acceptance in Montenegro”, Published in: Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 38th International Convention on Date of Conference: 25-29 May 2015 Page(s): 1475 – 1480.

Rey, J.C. ; Mentor Graphics Corp., San Jose, CA ; Nagaraj, N.S. ; Kahng, A. ; Aitken, R., “DFM in practice: Hit or hype?”, Published in: Design Automation Conference, 2008. DAC 2008. 45th ACM/IEEE Date of Conference: 8-13 June 2008 Page(s): 898 – 899.

Di Giacomo, T. ; MIRALab, Univ. of Geneva, Switzerland ; Joslin, C. ; Garchery, S. ; Magnenat-Thalmann, N., “Adaptation of facial and body animation for MPEG-based architectures”, Published in: Cyberworlds, 2003. Proceedings. 2003 International Conference on Date of Conference: 3-5 Dec. 2003 Page(s): 221 – 228.

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Published

2025-11-10

How to Cite

[1]
A. Kalaiyarasi and R. Mala, “User Review Based Content Image Retrieval Using Voronoi Algorithm”, Int. J. Comp. Sci. Eng., vol. 3, no. 9, pp. 267–271, Nov. 2025.