Digital Video Copy Detection Using Steganography Frame Based Fusion Techniques-Reference-Cited by-同舟云学术

Digital Video Copy Detection Using Steganography Frame Based Fusion Techniques

Published:2019 Issue: Volume: Page:61-68
ISSN:2212-9391
Container-title:Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)
language:
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Author:

Karthika P.,Vidhyasaraswathi P.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-00665-5_7

Reference8 articles.

1. Liu H, Hong L, Xue X (2013) A segmentation and graph-based video sequence matching method for video copy detection. IEEE Trans Knowl Data Eng 25(8):1706–1718

2. Jiang M, Tian Y, Huang T (2012) Video copy detection using a soft cascade of multimodal features. In: Proceedings of the IEEE international conference on multimedia and expo (ICME’12), pp 374–379

3. Haitsma J, Kalke T (2012) A highly robust audio fingerprinting system. In: Proceedings of the international symposium on music information retrieval, pp 107–115

4. Tasdemir K, Cetin AE (2014) Content-based video copy detection based on motion vectors estimated using a lower frame rate. In: Proceedings of signal, image and video processing. Springer, Berlin, pp 1049–1057

5. Lei Y, Luo W, Wang Y, Huang J (2012) Video sequence matching based on the invariance of color correlation. IEEE Trans Circuits Syst Video Technol 22(9):1332–1343

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