Search results for "Multimedia Forensics"

showing 2 items of 2 documents

Experiencing with electronic image stabilization and PRNU through scene content image registration

2021

Abstract This paper explores content-based image registration as a means of dealing with and understanding better Electronic Image Stabilization (EIS) in the context of Photo Response Non-Uniformity (PRNU) alignment. A novel and robust solution to extrapolate the transformation relating the different image output formats for a given device model is proposed. This general approach can be adapted to specifically extract the scale factor (and, when appropriate, the translation) so as to align native resolution images to video frames, with or without EIS on, and proceed to compare PRNU patterns. Comparative evaluations show that the proposed approach outperforms those based on brute-force and p…

Computer scienceElectronic image stabilizationImage registrationContext (language use)Camera and video source identification02 engineering and technology01 natural sciencesMultimedia forensicsArtificial Intelligence0103 physical sciences0202 electrical engineering electronic engineering information engineeringComputer vision010306 general physicsImage registrationSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniNative resolutionImage registration Electronic Image Stabilization PRNU Camera and video source identification Multimedia forensicsSettore INF/01 - Informaticabusiness.industryPRNUTracking systemScale factorImage stabilizationIdentification (information)Transformation (function)Signal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftware
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A vision-based fully automated approach to robust image cropping detection

2020

Abstract The definition of valid and robust methodologies for assessing the authenticity of digital information is nowadays critical to contrast social manipulation through the media. A key research topic in multimedia forensics is the development of methods for detecting tampered content in large image collections without any human intervention. This paper introduces AMARCORD (Automatic Manhattan-scene AsymmetRically CrOpped imageRy Detector), a fully automated detector for exposing evidences of asymmetrical image cropping on Manhattan-World scenes. The proposed solution estimates and exploits the camera principal point, i.e., a physical feature extracted directly from the image content th…

Robust computer visionExploitComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRobust statisticsImage processing02 engineering and technologyCropping detectionMultimedia forensicRobustness (computer science)0202 electrical engineering electronic engineering information engineeringMultimedia Forensics Robust Computer Vision Cropping Detection Image Content AnalysisComputer visionElectrical and Electronic EngineeringSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - InformaticaVision basedbusiness.industryDetectorImage content analysi020206 networking & telecommunicationsFully automatedSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessCroppingSoftwareSignal Processing: Image Communication
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