Abstract
There are so many techniques for video indexing using face recognition, but all the methods are unable to reduce space and time complexity. This paper proposes a novel way to deal with separate data from video through the human face and ordering and recover it at whatever point vital. This work is centered around the accompanying advances: key frame extraction from the info video, face recognition from key frame, face distinguishing proof utilizing standardized identification, and video ordering through the barcode. First, we recognize a video as information in this work, and from it, each of the edges is obtained. Using the color histogram difference, the main frames are taken from all the frames present in the video. A color histogram is used to find the difference between two images and return the color histogram. Using the Viola–Jones algorithm, faces are identified from the extracted main frames. Using sliding window technique, the image gradient is created from face image and identifies the human face extracted from video using individual EAN-8 barcode for video indexing purposes. The main objective of this work is to identify human face from video and to represent them as EAN-8 linear video indexing barcode. This approach is useful for security purposes, video surveillance network, video description of communication channel, etc. It is useful for purposes of video indexing and retrieval. This reduces the bandwidth of the correspondence, storage space, and time complexity. The effect of this approach is to index the video as a linear EAN-8 barcode based on the human face present in the video after describing the individual human face of the video.
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
S. Eickeler, F. Wallhoff, U. Iurgel, G. Rigoll, Content-based indexing of images and video using face detection and recognition methods, in ICASSP 2001, IEEE Xplore
L. Baraldi, C. Grana, R. Cucchiara, Neural story: an interactive multimedia system for Video indexing and re-use, in Proceedings of CBIM, Florence, Italy, June 19–21 (2017)
C.G.M. Snoek, M. Worring, Multimodal video indexing: a review of state of the art. Multimedia Tools Appl. 25, 5–35 (2005)
Y. Wan, S. Ji, Y. Xie, X. Zhang, P. Xie, Video program clustering indexing based on faced recognition hybrid model of Hidden Markov model and support vector machine, in IWCIA 2004, LNCS 3322, pp. 739–749 (2004)
B.-C. Chen, Y.Y. Chen, Y.-H. Kuo, T.D. Ngo, D.-D. Le, S.I. Satoh, W.H. Hsu, Scalable face track retrieval in video archives using bag-of-faces sparse Representation. IEEE Trans. Circ. Syst. Video Technol. (2015)
Z. Dong, S. Jia, T. Wu, M. Pei, Face video retrieval via deep learning of binary hash representations, in Proceeding of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)
Y. Li, R. Wang, Z. Huang, S. Shan, X. Chen, Face video retrieval with image query via hashing across Euclidean space and Riemannian manifold, in CVPR (IEEE, 2015), pp. 4758–4767
Y.C. Chen, V.M. Patel, S. Shekhar, R. Chellappa, P.J. Phillips, Video-based face recognition via sparse joint representation, in FG (IEEE, 2013), pp. 1–8
U. Saeed, J.-L. Dugely, Temporally consistent keyframe selection from video for face recognition, in 18th European Signal Processing Conference, 23–27 Aug 2010, IEEE Xplore, 30 April 2015
C. Czirjek, N. O’Connor, S. Marlow, N. Murphy, Face detection and clustering for video indexing applications, in ACIVS 2003—Advanced Concepts for Intelligent Vision Systems, 2–5 Sept 2003
M. Ravinder, T. Venu Gopal, T. Venkat Narayana Rao, Video indexing and retrieval applications and challenges. Orient. J. Comput. Sci. Technol. 3(1), 125–137 (2010)
Y. Matveev, G. Kukharev, N. Shchegoleva, A simple method for generating facial barcodes, in WSCG2014 Conference on Computer Graphics, Visualization and Computer Vision in Co-operation with EUROGRAPHICS Association Exchange Anisotropy (Academic, Czech Republic, 2014), pp. 213–220.
S. Ghatak, Facial representation using linear barcode, in Advanced Computational and Communication Paradigms, vol. 2, pp.791–801 (2018)
R. Zheng, C. Yao, H. Jin, L. Zhu, Q. Zhang, W. Deng, Parallel key frame extraction for surveillance video service in a Smart City. PloS One 10(8), e0135694. https://doi.org/10.1371/Journal.pone.0135694
R. De Geest, E. Gavves, A. Ghodrati, Z. Li, C. Snoek, T. Tuytelaars, Online Action Detection. arXiv: 1604.06506v2[cs.CV] 30 Aug 2016
Barcode generation algorithm for EAN-8and EAN13. https://www.cherry-notes.spb.ru/barcode_ean8.htm. 15 March 2014
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ghatak, S., Bhattacharjee, D. (2021). Video Indexing Through Human Face. In: Sabut, S.K., Ray, A.K., Pati, B., Acharya, U.R. (eds) Proceedings of International Conference on Communication, Circuits, and Systems. Lecture Notes in Electrical Engineering, vol 728. Springer, Singapore. https://doi.org/10.1007/978-981-33-4866-0_13
Download citation
DOI: https://doi.org/10.1007/978-981-33-4866-0_13
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-33-4865-3
Online ISBN: 978-981-33-4866-0
eBook Packages: Computer ScienceComputer Science (R0)