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A Study on Image Annotation Techniques

by Reena Pagare, Anita Shinde
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 37 - Number 6
Year of Publication: 2012
Authors: Reena Pagare, Anita Shinde
10.5120/4616-6295

Reena Pagare, Anita Shinde . A Study on Image Annotation Techniques. International Journal of Computer Applications. 37, 6 ( January 2012), 42-45. DOI=10.5120/4616-6295

@article{ 10.5120/4616-6295,
author = { Reena Pagare, Anita Shinde },
title = { A Study on Image Annotation Techniques },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 37 },
number = { 6 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 42-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume37/number6/4616-6295/ },
doi = { 10.5120/4616-6295 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:23:39.024372+05:30
%A Reena Pagare
%A Anita Shinde
%T A Study on Image Annotation Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 37
%N 6
%P 42-45
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the development of mobile device, large amount of digital images are generated every day. The requirements of effective indexing and searching image are growing rapidly. Image annotation is an effective way for content based image retrieval. This paper gives a review of different categories for image annotation. The paper also gives a brief overview of different methods for image annotation under Semi- Automatic and Automatic annotations. Manual annotation is a costly and time consuming work, especially for mobile device.

References
  1. Wei Liu , Xue Li, Daoli Huang “A Survey on Context Awareness” Computer Science and Service System (CSSS), International Conference on,29 June 2011 IEEE
  2. B. Shevade, H. Sundaram, L. Xie. “Modeling Personal and Social Network Context for Event Annotation in Images”. In JCDL 2007, ACM Press (2007).
  3. Shuangrong Xia, Xiangyang Gong, Wendong Wang,Ye Tia “Context-Aware Image Annotation and Retrieval on Mobile Device” 2010 IEEE.
  4. L. Cao, J. Luo, H. Kautz, T. S. Huang. “Image Annotation within the Context of Personal Photo Collections Using Hierarchical Event and Scene Models”. In IEEE Multimedia 2009 11(2), 208- 219.
  5. W. Viana, J. B. Filho, J. Gensel, M. Villanova-Oliver, H. Martin. PhotoMap: From location and time to context-aware photo Annotations. In Journal of Location Based Services 2008 2(3), 211-235
  6. M. Ames, M. Naaman. “Why We Tag: Motivations for Annotation”. In proc. CHI 2007, ACM Press (2007), 971-980.
  7. U. WESTERMANN and R. JAIN. Toward a Common Event Model for Multimedia Applications. In IEEE Multimedia 2007 14(1), 19-29
  8. M. Davis, N. V. House, J. Towle, S. King, S. Ahern, C. Burgener, Perkel, M. Finn, V.Viswanathan, M. Rothenberg. “MMM2: Mobile Media Metadata for Media Sharing”, Ext. Abstracts CHI 2005, ACM Press (2005), 1335-1338
  9. asullah Khalid Alham, Maozhen Li1, Suhel Hammoud and Hao Qi “Evaluating Machine Learning Techniques for Automatic Image Annotations” 2009 IEEE
  10. O. Marques, N. Barman, Semi-Automatic Semantic Annotation of Images Using Machine Learning Techniques, Proc. of ISWC, pp. 550-565, 2003
  11. J. Vompras, S. Conrad, A Semi-Automated Framework for Supporting Semantic Image Annotation, Proc. of ISWC, pp.105-109, 2005.
  12. L. Wenyin, S. Dumais, Y. Sun, H. Zhang, M. Czerwinski and B. Field, Semi-Automatic Image Annotation, Proc. Of INTERACT, pp.326-333, 2001.
  13. A. Yavlinsky, E. Schofield, S. M. Rüger, Automated Image Annotation using Global Features and Robust Nonparametric Density Estimation, Proc. of CIVR, pp. 507-517, 2005
  14. Jeon, V. Lavrenko, and R. Manmatha, Automatic Image Annotation and Retrieval using Cross-Med Relevance Models, Proc. ACM SIGIR, pp. 119-126, 2003.
  15. R. Jin, J. Chai, L. Si, Effective Automatic Image Annotation via a Coherent Language Model and Active Learning, Proc. of ACM Conference on Multimedia, pp. 892-899, 2004
  16. C. Wang, F. Jing, L. Zhang, H. Zhang, Content-Base Image Annotation Refinement, Proc. of CVPR, 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Ontology Semi-automatic annotation Automatic annotation.

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