Abstract
In the development of technology, the digital media content increased rapidly due to various factors. Among available data, multimedia is one that consists of complex data sets. Today, technology brings image data that is a rich medium compared to any other information source. Today, digital video is an important information source which is used in education, medicine, engineering, and entrainment. For this huge collection of data, it is really a challenging job for the user to extract the needed information. We need urgent techniques for organizing, analyzing, representing, and indexing the available data. Content-based information analysis and extraction is an important field of study today. The proposed technique brings an effective video retrieval works for all types of video files, and also it eliminates the problems faced in video data mining. The experimental results have also verified this.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Panda et al (2016) Hybrid data mining approach for image segmentation based classification. Int J Rough Sets Data Anal 3.2(2016):65–81
Algur et.al (2016) Web video object mining: a novel approach for knowledge discovery. Int J Intell Syst Appl 8(4):67–75
Saravanan D Information retrieval using: hierarchical clustering algorithm. Int J Pharm Technol 8(4):22793–22803
Saravanan D Effective video data retrieval using image key frame selection. Advanc Intell Syst Comput 145–155
Saravanan D (2016) Video content retrieval using image feature selection. J Biotechnol 13(3), 215–219
Bhilasha Y et al (2016) An efficient video data security mechanism based on RP_AES. Int J Advanc Technol Eng Explorat 3(16):36–42
Yang Y, Nie F, Xu D, Luo J, Zhuang Y, Pan Y (2012) A multimedia retrieval framework based on semi-supervised ranking and relevance feedback. IEEE Trans Patt Anal Mach Intell 34(5) 723–742
Saravanan D (2016) Design and implementation of feature matching procedure for video frame retrieval. Int J Control Theor Appl 9(7):3283–3293
Zhang T, Ramakrishnan R, Livny M (1996) Brich an efficient data clustering method for very large databases. In: Proceedings of the ACM SIGMOD conference on management of data. Montreal, Canada, pp 103–114,
Ester M, Kriegel H-P, Sander J, Xu X (1996) A density-based algorithm for discovering clusters in Large spatial database with noise. In: I&‘1 conference on knowledge discovery in databases and data mining (KDD-96), Portland, Oregon, August 1996
Saravanan D (2016) Segment based indexing technique for data file. Proc Comput Sci 87(2016):12–17
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Saravanan, D., Joseph, D. (2019). Image Data Extraction Using Image Similarities. In: Panda, G., Satapathy, S., Biswal, B., Bansal, R. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 521. Springer, Singapore. https://doi.org/10.1007/978-981-13-1906-8_43
Download citation
DOI: https://doi.org/10.1007/978-981-13-1906-8_43
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1905-1
Online ISBN: 978-981-13-1906-8
eBook Packages: EngineeringEngineering (R0)