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A Comprehensive Survey on Semantic based Image Retrieval Systems for Cyber Forensics

Ramesh Babu P1 , E. Sreenivasa Reddy2

Section:Survey Paper, Product Type: Journal Paper
Volume-6 , Issue-8 , Page no. 245-250, Aug-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i8.245250

Online published on Aug 31, 2018

Copyright © Ramesh Babu P, E. Sreenivasa Reddy . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Ramesh Babu P, E. Sreenivasa Reddy, “A Comprehensive Survey on Semantic based Image Retrieval Systems for Cyber Forensics,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.245-250, 2018.

MLA Style Citation: Ramesh Babu P, E. Sreenivasa Reddy "A Comprehensive Survey on Semantic based Image Retrieval Systems for Cyber Forensics." International Journal of Computer Sciences and Engineering 6.8 (2018): 245-250.

APA Style Citation: Ramesh Babu P, E. Sreenivasa Reddy, (2018). A Comprehensive Survey on Semantic based Image Retrieval Systems for Cyber Forensics. International Journal of Computer Sciences and Engineering, 6(8), 245-250.

BibTex Style Citation:
@article{P_2018,
author = {Ramesh Babu P, E. Sreenivasa Reddy},
title = {A Comprehensive Survey on Semantic based Image Retrieval Systems for Cyber Forensics},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2018},
volume = {6},
Issue = {8},
month = {8},
year = {2018},
issn = {2347-2693},
pages = {245-250},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2684},
doi = {https://doi.org/10.26438/ijcse/v6i8.245250}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i8.245250}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2684
TI - A Comprehensive Survey on Semantic based Image Retrieval Systems for Cyber Forensics
T2 - International Journal of Computer Sciences and Engineering
AU - Ramesh Babu P, E. Sreenivasa Reddy
PY - 2018
DA - 2018/08/31
PB - IJCSE, Indore, INDIA
SP - 245-250
IS - 8
VL - 6
SN - 2347-2693
ER -

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Abstract

Cyber forensics includes the areas of computer forensics, network forensics and internet forensics. In Cyber forensics, digital images have been widely used for retrieving criminal images, fingerprints, crime incident images and so on. Since the current cyber forensic tools are not very much furnished with the course of action of huge image data, retrieving of image evidences to prosecute the criminal becomes a big issue, most of the evidence is available in the form of raw semantics. Cyber forensic investigators are often faced with the task of manually examining a huge amount of image data to identify potential evidence by the help of this semantics. Thus semantic based image retrieval system (SBIR) is the latest and best alternative to overcome this drawback. The main objective of this paper is to perform extensive literature survey on the different existing methods of semantic based image retrieval system, to find the pitfalls in the existing methods and to propose a SBIR framework for the development of cyber forensic tools.

Key-Words / Index Term

Cyber Forensics SBIR, Digital image, Semantics and Evidence

References

[1]. Tanya Piplani, “DeepSeek: Content Based Image Search & Retrieval”. arXiv:1801.03406v2 [cs.IR] 11 Jan 2018 CoRR abs/1706.06064. http://arxiv.org/abs/1801.03406v2.
[2]. Max H. Quinn, Erik Conser, Jordan M. Witte and Melanie Mitchell. “Semantic Image Retrieval via Active Grounding of Visual Situations” Published in 2018 IEEE 12th International Conference on Semantic Computing.
[3]. Wei Wang, Yuqing Song and Aidong Zhang. “Semantics-based Image Retrieval by RegionSaliency”. Published in International Conference on Image and Video Retrieval CIVR 2002: Image and Video Retrieval, pp 29-37.
[4]. Umar Manzoor, Mohammed A. Balubaid. “Semantic Image Retrieval: An Ontology Based Approach”. Published in International Journal of Advanced Research in Artificial Intelligence (IJARAI), Volume 4 Issue 4, 2015. Digital Object Identifier (DOI) : 10.14569/IJARAI.2015.040401.
[5]. Manikandan Kalimuthu and Ilango Krishnamurthi. “Semantic-Based Facial Image-Retrieval System with Aid of Adaptive Particle Swarm Optimization and Squared Euclidian Distance”. Hindawi Publishing Corporation, Journal of Applied Mathematics, Volume 2015, Article ID 284378, 12 pages http://dx.doi.org/10.1155/2015/284378.
[6]. Anuja khodaska and Siddarth Ladhake. “Semantic Image Analysis for Intelligent Image Retrieval”. Published in International Conference on Intelligent Computing, Communication & Convergence (ICCC-2014). Procedia Computer Science 48 (2015) 192 – 197.
[7]. V. Lavrenko, R. Manmatha and J. Jeon. “A Model for Learning the Semantics of Pictures” published in Advances in Neural Information Processing Systems 16 (NIPS 2003).
[8]. Manish Chowdhury, Sudeb Das and Malay Kumar Kundu. “Interactive Content Based Image Retrieval
Using Ripplet Transform and Fuzzy Relevance Feedback” Published in Indo-Japanese Conference on Perception and Machine Intelligence, 2012, pp 243-251.
[9]. Yixin Chen, Vassil Roussev, Golden G. Richard III and Yun Gao. “Content-Based Image Retrieval for Digital Forensics”. IFIP International Conference on Digital Forensics, 2005: Advances in Digital Forensics pp 271-282.
[10]. Che-Yen Wen and Chiu-Chung Yu. ”Image Retrieval of Digital Crime Scene Images” Published in Forensic Science Journal, 2005;4:37-45.
[11]. Ben Bradshaw. “Semantic based image retrieval: a probabilistic approach”. Published in proceedings of 8th International conference on Multimedia. Pgs: 167-176.
[12]. P.Ramesh Babu, Dr. D.Lalitha Bhaskari and Dr. T.V.Rajinikanth “A Meticulous Survey on Cyber forensics“published in the proceedings ELSEVIER of International Conference proceedings of Advanced Computing Methodologies ICACM held in Hyderabad on 9-10 December 2011.
[13]. Sridhar Nidhi and D. Lalitha Bhaskari “Plethora of Cyber Forensics.” Published in (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 2, No. 11, 2011.
[14]. R. Brown, B. Pham and O. deVel, “A grammar for the specification of forensic image mining searches”, Proc. 8th Australian and New Zealand Conference on Intelligent Information Systems, Sydney, Australia, 2003.
[15]. Brown, R.; Pham, B., “Image Mining and Retrieval Using Hierarchical Sup p ort Vector Machines”, Proc 11th International, Multimedia Modeling Conference (MMM 2005), 12-14 Jan. 2005 pp. 446 – 451.
[16]. Yow, K. and R. Cipolla, “Feature-based human face detection”, Image and Vision Computing, 1997, vol. 15, (9), pp. 713–735.