A local derivative pattern based image forensic framework for seam carving detection

Jingyu Ye, Yun Qing Shi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Seam carving is one of the most popular image scaling algorithms which can effectively manipulate the image size while preserving the important image content. In this paper, we present a local derivative pattern (LDP) based forensic framework to detect if a digital image has been processed by seam carving or not. Each image is firstly encoded by applying four LDP encoders. Afterward, 96-D features are extracted from the encoded LDP images, and the support vector machine (SVM) classifier with linear kernel is utilized. The experimental results thus obtained have demonstrated that the proposed framework outperforms the state of the art. Specifically, the proposed scheme has achieved 73%, 88% and 97% average detection accuracies in detecting the low carving rate cases, i.e., 5%, 10% and 20%, respectively; while the prior state-of-the-arts has achieved 66%, 75% and 87% average detection accuracy on these cases.

Original languageEnglish (US)
Title of host publicationDigital Forensics and Watermarking - 15th International Workshop, IWDW 2016, Revised Selected Papers
EditorsHyoung Joong Kim, Feng Liu, Fernando Perez-Gonzalez, Yun Qing Shi
PublisherSpringer Verlag
Pages172-184
Number of pages13
ISBN (Print)9783319534640
DOIs
StatePublished - Jan 1 2017
Event15th International Workshop on Digital-Forensics and Watermarking, IWDW 2016 - Beijing, China
Duration: Sep 17 2016Sep 19 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10082 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Workshop on Digital-Forensics and Watermarking, IWDW 2016
Country/TerritoryChina
City Beijing
Period9/17/169/19/16

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Keywords

  • Image forensics
  • Local derivative pattern
  • Seam carving detection
  • Support vector machine

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