Reference Hub12
Article / 5
Article PDF Full-Issue Download View Details Source Title| Cite Article Cite Article

MLA

Huang, Xinchao, et al. "Fast and Effective Copy-Move Detection of Digital Audio Based on Auto Segment." IJDCF vol.11, no.2 2019: pp.47-62. http://doi.org/10.4018/IJDCF.2019040104

APA

Huang, X., Liu, Z., Lu, W., Liu, H., & Xiang, S. (2019). Fast and Effective Copy-Move Detection of Digital Audio Based on Auto Segment. International Journal of Digital Crime and Forensics (IJDCF), 11(2), 47-62. http://doi.org/10.4018/IJDCF.2019040104

Chicago

Huang, Xinchao, et al. "Fast and Effective Copy-Move Detection of Digital Audio Based on Auto Segment," International Journal of Digital Crime and Forensics (IJDCF) 11, no.2: 47-62. http://doi.org/10.4018/IJDCF.2019040104

Export Reference

Mendeley
Fast and Effective Copy-Move Detection of Digital Audio Based on Auto Segment

International Journal of Digital Crime and Forensics (IJDCF)

The International Journal of Digital Crime and Forensics (IJDCF) provides state-of-the-art coverage in the development of legal evidence found in computers and electronic storage mediums including the use of electronic devices and software for crime prevention, investigation, and the application of a broad spectrum of science solutions for the legal system. Featured in prestigious indices including Web of Science® – Emerging Sources Citation Index®, Scopus®, Compendex®, INSPEC®, and more, this scholarly journal is led by two leading IGI Global editors and contains research from a growing list of more than 650 industry-leading contributors from five continents. This journal is a three-time winner of IGI Global’s Excellence in Research Journal Award and contains high-quality theoretical and empirical research articles, research reviews, case studies, book reviews, tutorials, and editorials in this field.


View source title
Article / 5