Content Based Image Retrieval: Concept and Methodologies

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2017 by IJETT Journal
Volume-45 Number-4
Year of Publication : 2017
Authors : Shreela Pareek, Hardwari Lal Mandoria
DOI :  10.14445/22315381/IJETT-V45P236


Shreela Pareek, Hardwari Lal Mandoria " Content Based Image Retrieval: Concept and Methodologies ", International Journal of Engineering Trends and Technology (IJETT), V45(4),168-170 March 2017. ISSN:2231-5381. published by seventh sense research group

Due to increase in digital trend the number of images to be stored in digital format has also text based image retrieval was facing many problems to overcome these challenges content based image retrieval came under consideration, searching and retrieving of images from large database can be done using content based image retrieval system. Image retrieval based on low level features like color, texture and shape is a wide area of research scope ,In this paper we focus on the whole concept of content based image retrieval system and discussed about some of the methodologies used by content based image retrieval system.


[1]. K. B. Jayarraman, Salomia Brigitha.J “Survey on Content Based Image Retrieval Technique”.International Journal of Advanced Research in Computer Science and Software Engineering 6(3), pp. 587-591, 2016,
[2]. Chesti Altaff Hussain, D. Venkata Rao, S. Aruna Masthani “Robust Pre-processing Technique Based on Saliency Detection for Content Based Image Retrieval Systems”. International Conference on Computational Modeling and Security, pp 571-580, 2016.
[3]. Jeena Jacob, V. Elavarsi “Performance Analysis of Saliency Structure Model in Image Retrieval”. International Conference on Innovations in Engineering and Technology (ICIET), pp 2455-5703,2016.
[4]. Giveki, D., Soltanshahi, A., Shiri, F. and Tarrah, H. “A New Content Based Image Retrieval Model Based on Wavelet Transform”. Journal of Computer and Communications,3, pp 66-73, 2015.
[5]. Chathurani, N. W. U. D., Geva, S., Chandran, V., Cynthujah V, “Content-Based Image (Object) Retrieval with Rotational Invariant Bag -of-Visual Words Representation”. IEEE 10th International Conference on Industrial and Information Systems, 2015.
[6]. Sushant Shrikant Hiwale, Dhanraj Dhotre, “Content-Based Image Retrieval: Concept and Current Practices”. IEEE, 2015.
[7]. Anuradha Shitole, Uma Godase , “Survey on Content Based Image Retrieval”. International Journal of Computer-Aided Technologies (IJCAx) Vol.1, No.1, 2014.
[8]. ManjushaS, Nelwin Raj N R, “Content Based Image Retrieval Using Wavelet Transform and Feedback Algorithm”. International Journal of Innovative Research in Science, Engineering and Technology Vol 3, 2014.
[9]. Jahnavi Shukla, Jignesh Vania, “A Survey on CBIR Features Extraction Techniques”.International Journal Of Engineering And Computer Science ISSN: 2319-7242 Vol 3, pp. 9555-9559, 2014.
[10]. Sreedevi S, Shinto Sebastian, “Content Based Image Retrieval Based on Database Revision”.IEEE, 2014.
[11]. DengshengZhang,Md.MonirulIslm, GuojunLu, “A review on automatic image annotation techniques”. Elsevier, Pattern Recognition 45, pp 346-362, 2012.
[12]. Xiaoli Yuan, Jing Yu, Zengchang Qin , Tao Wan, “A SIFT-LBP IMAGE RETRIEVAL MODEL BASED ON BAG-OF-FEATURES”. 18th IEEE International Conference on Image Processing, 2011.
[13]. H. B. Kekre, Sudeep D. Thepade, “Image Retrieval using Augmented Block Truncation Coding Techniques”. International Conference on Advances in Computing, Communication and Control (ICAC3), 2009.

Content based image retrieval, Wavelet Transform, Saliency model, BoF