Work

Copy-Move Forgery Detection and Localization via Partial Audio Matching

Year: 2019

Type: conference-paper

Abstract: 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 fingerprinting 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 significantly extending the state-of-the art.

Source: Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)

Authors: Milica Maksimović, Luca Cuccovillo, Patrick Aichroth

Language: English

Topic: Music and Audio Processing

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3010328686

FWCI: 0.435

Cites:

Cited by: 3

Related to: 10