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A Principled Design of Image Representation: Towards Forensic Tasks
Shuren Qi; Yushu Zhang; Chao Wang; Jiantao Zhou; Xiaochun Cao
2022-09
Source PublicationIEEE Transactions on Pattern Analysis and Machine Intelligence
ISSN0162-8828
Abstract

Image forensics is a rising topic as the trustworthy multimedia content is critical for modern society. Like other vision-related applications, forensic analysis relies heavily on the proper image representation. Despite the importance, current theoretical understanding for such representation remains limited, with varying degrees of neglect for its key role. For this gap, we attempt to investigate the forensic-oriented image representation as a distinct problem, from the perspectives of theory, implementation, and application. Our work starts from the abstraction of basic principles that the representation for forensics should satisfy, especially revealing the criticality of robustness, interpretability, and coverage. At the theoretical level, we propose a new representation framework for forensics, called dense invariant representation (DIR), which is characterized by stable description with mathematical guarantees. At the implementation level, the discrete calculation problems of DIR are discussed, and the corresponding accurate and fast solutions are designed with generic nature and constant complexity. We demonstrate the above arguments on the dense-domain pattern detection and matching experiments, providing comparison results with state-of-the-art descriptors. Also, at the application level, the proposed DIR is initially explored in passive and active forensics, namely copy-move forgery detection and perceptual hashing, exhibiting the benefits in fulfilling the requirements of such forensic tasks.

DOI10.1109/TPAMI.2022.3204971
Language英語English
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Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorYushu Zhang
Recommended Citation
GB/T 7714
Shuren Qi,Yushu Zhang,Chao Wang,et al. A Principled Design of Image Representation: Towards Forensic Tasks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2022.
APA Shuren Qi,Yushu Zhang,Chao Wang,Jiantao Zhou,&Xiaochun Cao.(2022).A Principled Design of Image Representation: Towards Forensic Tasks.IEEE Transactions on Pattern Analysis and Machine Intelligence.
MLA Shuren Qi,et al."A Principled Design of Image Representation: Towards Forensic Tasks".IEEE Transactions on Pattern Analysis and Machine Intelligence (2022).
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