AES E-Library

← Back to search

Copy-Move Forgery Detection and Localization via Partial Audio Matching

In this paper, we present a new approach for detecting and localizing copy-move forgeries within digital audio recordings. The approach is based on an audio ?ngerprinting and matching algorithm that was originally designed for partial audio matching without a query for large datasets, which was now successfully adapted to the speci?c requirements of copy-move forgery detection, i.e. short segment duration and high reliability. Thanks to the characteristics of the original algorithm, our proposed approach does not require pre-segmentation, and shows high accuracy for detection and localization of copy move forgery, including mismatching background noise, thereby signi?cantly extending the state-of-the art.

 

Author (s):
Affiliation: (See document for exact affiliation information.)
Publication Date:
Permalink: https://aes2.org/publications/elibrary-page/?id=20474


(1289KB)


Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.

Type:
E-Libary location:
16938
Choose your country of residence from this list:










Skip to content