Abstract
The accelerated development of IT technologies on the Internet for fast provision of commercial multimedia services has stimulated an urgent demand for reliable and secure copyright protection for digital multimedia. Also, information retrieval is required to search valuable information from wide range of image data for various applications such as biometrics, crime prevention, health informatics, and image search. We proposes the shape representation method using angles, orientations, and locations which is called as Oriented Angular Keypoints (OAK) to make help for shape-based watermarking scheme. First, the contour is extracted from input image and is divided into contour blocks. Then, angles and directions from the divided contour blocks are computed to make unique feature. To evaluate the proposed image retrieval algorithm, commonly employed datasets of Gorelick and MPEG-7 are also used in this paper. The performance of the similarity measure that proposed image retrieval algorithm achieves improvement of about 10 % compared with Shape Context in terms of Bull’s eye score.
Similar content being viewed by others
References
Atawneh S, Almomani A, Bazar HA, Sumari P, Gupta B (2016) Secure and Imperceptible Digital Image Steganographic Algorithm based on Diamond Encoding in DWT Domain, Multimedia tools and applications. doi:10.1007/s11042-016-3930-0
Barghout L, Sheynin J Real-world scene perception and perceptual organization: Lessons from Computer Vision, J Vis, 2013, pp 709–709
Batenburg KJ, Sijbers J Adaptive thresholding of tomograms by projection distance minimization, Pattern Recogn, 2009, pp 2297–2305
Bay H, Tuytelaars T, Gool LV SURF : Speeded Up robust features, European Conference on Computer Vision, 2006, pp 404–417
Belongie S, Malik J, Puzicha J Shape matching and object recognition using shape contexts, Pattern Analysis and Machine Intelligence, 2002, pp 509–522
Canny J A computational approach to edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, pp 679–698
Dalal N, Triggs B Histogram of oriented gradients for human detection, Computer Vision and Pattern Recognition, 2005, pp 886–893
Fei-Fei L, Fergus R, Perona P Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories, Computer Vision and Pattern Recognition Workshop, 2014, pp 178–181
Forghani M, Forouzanfar M Parameter optimization of improved fuzzy c-means clustering algorithm for brain MR image segmentation, Eng Appl Artif Intell, 2010, pp 160–168
Gaj S, Patel AS, Sur A (2016) Object based watermarking for h. 264/AVC video resistant to rst attacks. Multimed Tool Appl 75.6:3053–3080
Gorelick L, Galun M, Sharon E, Basri R, Brandt A Shape representation and classfication using the poisson equation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, pp 1991– 2005
Gupta BB, Agrawal DP, Yamaguchi S (2016) Handbook of Research on Modern Cryptographic Solutions for Computer and Cyber Security. IGI Global Publisher, USA
Ho Y-K, Mei-Yi W (2004) Robust object-based watermarking scheme via shape self-similarity segmentation. Pattern Recogn Lett 25:1673–1680
Jeon Y, Kim Y, Kim J Implementation of a video streaming security system for smart device, IEEE International Conference on Consumer Electronics (ICCE), 2014 pp 97–100
Kass M, Witkin A, Terzopoulos D Snakes: Active contour models, Int J Comput Vis, 1988, pp 321–331
Kato T (1992) Database architecture for content-based image retrieval, Proc. SPIE1662 Image Storage and Retrieval Systems
Kim W-Y, Kim Y-S A region-based shape descriptor using Zernike moments, Signal Process, 2000, pp 95–102
Kosch H (2004) Distributed Multimedia Database Technologies Supported by MPEG-7 and MPEG-21, CRC Press. ISBN 0-8493-1854-8
Leutenegger S, Chil M, Siegwart RY BRISK : Binary Robust invariant scalable keypoints, International Conference on Computer Vision, 2011, pp 2548–2555
Ling H, Jacobs D Deformation invariant image matching, International Conference on Computer Vision, 2005, pp 1466–1473
Lowe GG Distinctive image feature from Scale-Invariant keypoints, Int J Comput Vis, 2004, 91–110
Manjunath B, Salembier P, Sikora T (2002) Introduction to MPEG-7: Multimedia Content Description Interface, Wiley. ISBN 0-471-48678-7
Marcelja S Mathematical description of the responses of simple cortical cells, J Opt Soc Am, 1980, pp 1297–1300
Mikolajczyk K, Tuytelaars T, Schmid C, Zisserman A, Matas J, Schaffalitzky F, Kadir T, Gool LV A comparison of affine region detectors, Int J Comput Vis, 2005, pp 43–72
Rahul YK Pca-sift: a more distinctive representation for local image descriptors, Computer Vision and Pattern Recognition, 2004, pp 511–517
Rosten E, Drummond T Machine learning for high-speed corner detection, European Conference on Computer Vision, 2006, pp 430–443
Rublee E, Rabaud V, Konolige K, Bradski G ORB : An efficient alternative to SIFT or SURF, International Conference on Computer Vision, 2011, pp 2264–2571
Rui Y, Huang TS, Mehrotra S Relevance feedback techniques in interactive content-based image retrieval, Storage and Retrieval for Image and Video Databases (SPIE), 1998, pp 25–36
Rusinol M Josepllados Efficient logo retrieval through hashing shape context descriptors, International Workshop on Document Analysis Systems, 2010, pp 215–222
Salembier P, Sikora T, Manjunath B (2002) Introduction to MPEG-7: Multimedia Content Description Interface. Wiley, New Jersey
Sebastian TB, Klein PN, Kimia BB Shock-based indexing into large shape databases, European Conferenceon Computer Vision, 2002, pp 731–746
Shelke NA, Chatur PN Optimized and hybrid based watermarking system for digital video security, International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2016, pp 1068–1074
Suthaharan S (2004) Fragile image watermarking using a gradient image for improved localization and security. Pattern Recogn Lett 25:1893–1903
Zhang T Video security with human identification and tracking, IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2014, pp 1–6
Zhang D, Lu G Evaluation of mpeg-7 shape descriptors against other shape descriptors, Multimedia System, 2003, pp 15–30
Zhang Z, Sun R, Zhao C, Wang J, Chang CK, Gupta BB (2016) CyVOD: A Novel Trinity Multimedia Social Network Scheme, Multimedia tools and applications. doi:10.1007/s11042-016-4162-z
Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education (NRF-2016R1D1A1B04934750).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kim, BG., Hong, GS. & Psannis, K.E. Design of efficient shape feature for object-based watermarking technology. Multimed Tools Appl 76, 22741–22759 (2017). https://doi.org/10.1007/s11042-017-4344-3
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-017-4344-3