CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Survey on Methodologies Used for Web Image Search

by Dipalee N. Gaikwad, Sandeep U. Kadam
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 18
Year of Publication: 2014
Authors: Dipalee N. Gaikwad, Sandeep U. Kadam
10.5120/18853-0416

Dipalee N. Gaikwad, Sandeep U. Kadam . Survey on Methodologies Used for Web Image Search. International Journal of Computer Applications. 107, 18 ( December 2014), 33-36. DOI=10.5120/18853-0416

@article{ 10.5120/18853-0416,
author = { Dipalee N. Gaikwad, Sandeep U. Kadam },
title = { Survey on Methodologies Used for Web Image Search },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 18 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 33-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number18/18853-0416/ },
doi = { 10.5120/18853-0416 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:41:25.313105+05:30
%A Dipalee N. Gaikwad
%A Sandeep U. Kadam
%T Survey on Methodologies Used for Web Image Search
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 18
%P 33-36
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The image search has becomes an important feature of multimedia. It plays an important role in daily life. Some image search query results are satisfactory and some are unsatisfactory. The web image search mostly depends on the surrounding text of the image. It is difficult to understand the user intention only by query keywords and this leads to irrelevant image search results. In this paper the methods developed by different researchers in the area of web image search are reviewed. These methods vary from textual information search to user feedback. Also some methods are depend on the visual similarities between the images. To improve the result of web image search, strategies like keyword expansion, active re-ranking is also used. This paper focuses on the methods introduced by different authors for development in the area of web image search.

References
  1. Xiaogang Wang, Member, IEEE , Shi Qiu, Ke Liu, and Xiaoou Tang, Fellow, IEEE, Web Image Re-Ranking, Using Query-Specific Semantic Signatures, IEEE Transactions On Pattern Analysis And Machine Intelligence, Vol. 36, No. 4, April 2014
  2. Yushi Jing, Michele Covell, David Tsai, and James M. Rehg, Member, IEEE, Learning Query-Specific Distance Functions for Large-Scale Web Image Search, IEEE Transactions On Multimedia, Vol. 15, No. 8, December 2013
  3. Xinmei Tian, Dacheng Tao, Member, IEEE, Xian-Sheng Hua, Member, IEEE, and Xiuqing Wu, Active Reranking For Web Image Search, IEEE Transactions On Image Processing, Vol. 19, No. 3, March 2010
  4. Linjun Yang, Member, IEEE, and Alan Hanjalic, Senior Member, IEEE, Prototype-Based Image Search Reranking , IEEE Transactions On Multimedia, Vol. 14, No. 3, June 2012 871
  5. WENJUN LU1, AVINASH L. VARNA2, (Member, IEEE), AND MIN WU3, (Fellow, IEEE), Confidentiality- Preserving Image Search: A Comparative Study Between Homomorphic Encryption and Distance-Preserving Randomization, Date of publication February 20, 2014, Digital Object Identifier 10. 1109/ACCESS. 2014. 2307057
  6. Xiaoou Tang, Fellow, IEEE, Ke Liu, Jingyu Cui, Student Member, IEEE, Fang Wen, Member, IEEE, and xiaogang Wang, Member, IEEE, IntentSearch: Capturing User Intention for One-Click Internet Image Search , IEEE Transactions On Pattern Analysis And Machine Intelligence, Vol. 34, NO. 7, JULY 2012
  7. Shikui Wei, Dong Xu, Xuelong Li, Fellow, IEEE, and Yao Zhao, Senior Member, IEEE, "Joint Optimization. Toward Effective and Efficient Image Search" IEEE Transactions On Cybernetics, Vol. 43, No. 6 December 2013.
  8. Yongdong Zhang, Senior Member, IEEE, Xiaopeng Yang, and Tao Mei, Senior Member, IEEE, Image Search. Re-ranking with Query-dependent Click-based Relevance Feedback, IEEE TRANSACTIONS ON IMAGE PROCESSING, 1057-7149 (c) 2013 IEEE
  9. Zheng Lu, Xiaokang Yang, Senior Member, IEEE, Weiyao Lin, Hongyuan Zha, and Xiaolin Chen, Inferring User. Image-Search Goals Under theImplicit Guidance of Users, IEEE Transactions On Circuits And Systems For Video Technology, Vol. 24, NO. 3, MARCH 2014.
  10. Xinmei Tian, Yijuan Lu, Member, IEEE, and Linjun Yang, Member, IEEE , Query Difficulty Prediction for Web Image Search, Transactions On Multimedia,Vol. 14,NO. 4, 2012 951
  11. M. Schultz and T. Joachims, "Learning a distance metric from relative comparisons," in Proc. 16th Conf. Advances. in Neural Inf. Process. Syst. (NIPS).
  12. J. Sivic and A. Zisserman, "Video google: A text retrieval approach to object matching in videos," in Proc. IEEE Int. Conf. Comput. Vision, vol. 2. Oct. 2003, pp. 1470–1477.
  13. S. Wei, Y. Zhao, C. Zhu, C. Xu, and Z. Zhu, "Frame fusion for video copy detection," IEEE Trans. Circuits Syst. Video Technol. , vol. 21, no. 1,pp. 15–28, Jan. 2011
  14. E. Nowak, F. Jurie, and B. Triggs, "Sampling strategies for bag-offeatures image classification," in Proc. Eur Conf. Comput. Vision, vol. 3954. 2006, pp. 490–5
Index Terms

Computer Science
Information Sciences

Keywords

Co-click Activities Keyword Expansion Relevance Feedback Query Difficulty Prediction Re-ranking.

Powered by PhDFocusTM