Abstract
Owing to the rapid growth of multimedia technology, multimedia information is easily accessed by any user and the same information construction and distribution are also very easy. Due to technology development, the multimedia information increases due to variety of factors: it can be uploaded by unprofessional users nowadays. Due to the low quality and the large number of duplicated video files available, this leads video extraction more and more complex. The general method of representing each video segment is shot that consists of series of frames. Among this series, the input frame based shot method is specifically assisted for searching the video content as clients provided image query/search where an image will be matched with the indexed key frames with assist of resemblance distance. As a result, the key frames selection is most significant, and several methods are used to automate the process. This paper proposes a new technique for key frame selection. The proposed method shows significantly good and the experiments prove the above statement.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
D. Saravanan.: Effective Multimedia Content Retrieval. International Journal of Applied Environmental Sciences, Volume 10, Number 5, pp. 1771–17783, (2015).
Jamie Shotton, Alex Kipman, Andrew Fitzgibbon, Mark Finocchio,: Time Human Pose Recognition in Parts from Single Depth Images, Communications of the ACM, Volume 56 Issue 1, Pages 116–124, (January 2013).
H. Sundaram et. al., “Video mining with frequent item set configuaration”, CIVR 2006, LNCS4071, Pages 360–369, 2006.
D. Saravanan, A. Ramesh Kumar, 2013 “Content Based Image Retrieval using Color Histogram”, International journal of computer science and information technology (IJCSIT), Volume 4(2), 2013, Pages 242–245.
Ghorpade Krishna Bhimraj, Swapnalini Pattanaik, “An enhanced Technique Based on Content Based Image Retrieval and video Indexing” Proceedings of 19th IRF International Conference, 1st February 2015, Pune, India, ISBN: 978-93-84209-85-8, Pages 45–50.
D. Saravanan, V. Somasundaram 2014. Matrix Based Sequential Indexing Technique for Video Data Mining, Journal of Theoretical and Applied Information Technology 30th September 2014. Vol. 67 No. 3.
D. Saravanan, Performance Anlaysis of video data image using Clustering Technique, Indian journal of science and technology,Vol 9(10), DOI:10.17485/ijst/2016/v9i10/79731, March 2016, ISSN (Print): 0974-6846. Pp 01-06
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media Singapore
About this paper
Cite this paper
Saravanan, D. (2017). Effective Video Data Retrieval Using Image Key Frame Selection. In: Satapathy, S., Prasad, V., Rani, B., Udgata, S., Raju, K. (eds) Proceedings of the First International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 507. Springer, Singapore. https://doi.org/10.1007/978-981-10-2471-9_15
Download citation
DOI: https://doi.org/10.1007/978-981-10-2471-9_15
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-2470-2
Online ISBN: 978-981-10-2471-9
eBook Packages: EngineeringEngineering (R0)