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Beyond Pixels: Image Provenance Analysis Leveraging Metadata [article]

Aparna Bharati, Daniel Moreira, Joel Brogan, Patricia Hale, Kevin W. Bowyer, Patrick J. Flynn, Anderson Rocha, Walter J. Scheirer
2019 arXiv   pre-print
This paper tests the scope and applicability of metadata-based inferences for provenance graph construction in two different scenarios: digital image forensics and cultural analytics.  ...  Most current works seek to build provenance graphs based on the shared content between images or videos.  ...  The pixel-level data within these image sets can exhibit ambiguous provenance directionality. Information beyond pixel-level data may be required to detect differences between such images.  ... 
arXiv:1807.03376v3 fatcat:pvk6eqd24zfwzjnh55ri4gfdvu

Android Malware Detection: Looking beyond Dalvik Bytecode

Tiezhu Sun, Nadia Daoudi, Kevin Allix, Tegawende F. Bissyande
2021 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)  
Recently, a new research direction that builds on the momentum of Deep Learning for computer vision has produced promising results with image representations of Android bytecode.  ...  In this work, we postulate that other artifacts such as the binary (native) code and metadata/configuration files could be looked at to build more exhaustive representations of Android apps.  ...  Thus, we have set each pixel to zero in the corresponding gray-scale image (i.e., blank image) when the .so files are missing in a given APK.  ... 
doi:10.1109/asew52652.2021.00019 fatcat:akkajryngncklpcf3xrwy52id4

Beyond the Drawing Board: Toward More Effective Use of Whiteboard Content [article]

Gene Golovchinsky, Scott Carter, Jacob Biehl
2009 arXiv   pre-print
Our system automatically captures changes to whiteboard images, detects significant changes, and identifies potential collaborative activities.  ...  Users then browse and search the collection of images captured from their camera or shared from other users' cameras based on aspects such as location, time, collaboration, etc.  ...  ACKNOWLEDGMENTS We thank John Adcock for the image de-skewing code, FXPAL management for supporting this research, and our colleagues for their helpful comments.  ... 
arXiv:0911.0039v2 fatcat:urczxdizrnhmrpx4s5hplxe4sm

Towards holistic scene understanding: Semantic segmentation and beyond [article]

Panagiotis Meletis
2022 arXiv   pre-print
per-pixel supervision.  ...  Chapter 3 focuses on enriching semantic segmentation with weak supervision and proposes a weakly-supervised algorithm for training with bounding box-level and image-level supervision instead of only with  ...  Human-level perception of images has been proven very difficult, and in the next two decades (1980s -2000s), computer vision was based on more rigorous mathematical analysis.  ... 
arXiv:2201.07734v1 fatcat:qdqnjqn75rff7kyja2iwer75my

Beyond PRNU: Learning Robust Device-Specific Fingerprint for Source Camera Identification [article]

Manisha, Chang-Tsun Li, Xufeng Lin, Karunakar A. Kotegar
2021 arXiv   pre-print
Various techniques have been developed based on the analysis of the subtle traces left in the images during the acquisition.  ...  The Photo Response Non Uniformity (PRNU) noise pattern caused by sensor imperfections has been proven to be an effective way to identify the source camera.  ...  As a result, blind approaches have been developed by investigating the self-contained image data to identify the source camera, rather than relying on the auxiliary metadata.  ... 
arXiv:2111.02144v1 fatcat:qiiprg4zunbcrkgx2ketmhdzsa

Real-time solar image classification: Assessing spectral, pixel-based approaches

J. Marcus Hughes, Vicki W. Hsu, Daniel B. Seaton, Hazel M. Bain, Jonathan M. Darnel, Larisza Krista
2019 Journal of Space Weather and Space Climate  
Our work indicates that the next generation of solar image classification algorithms would benefit significantly from using spatial structure recognition, compared to only using spectral, pixel-by-pixel  ...  Since solar imagers produce observations every few minutes, it is not feasible to label all images by hand.  ...  However, this requires a large labeled image database, which has proven difficult to obtain.  ... 
doi:10.1051/swsc/2019036 fatcat:xsse2b4s5vdqpm6riwfr5hxjem

MWA tied-array processing IV: A multi-pixel beamformer for pulsar surveys and ionospheric corrected localisation

N. A. Swainston, N. D. R. Bhat, I. S. Morrison, S. J. McSweeney, S. M. Ord, S. E. Tremblay, M. Sokolowski
2022 Publications Astronomical Society of Australia  
single-pixel version.  ...  This analysis prompted the development of a multi-pixel beamforming functionality that can generate dozens of tied-array beams simultaneously, which runs a factor of ten times faster compared to the original  ...  This Phase I MWA was designed to be an imaging telescope to support a wide range of science, from continuum imaging of galactic and extragalactic radio sources to detecting the epoch of reionisation (  ... 
doi:10.1017/pasa.2022.14 fatcat:io2545xnpfhs5iqxg42tg2fwdy

Towards a provenance framework for sub-image processing for astronomical data

Johnson Mwebaze, John McFarland, Danny Booxhorn, Edwin Valentijn
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
We introduce the idea of sub-image processing (SIMP) in the context of processing a subset of pixels of an image and the use of provenance data to assemble pipelines and to select processing metadata for  ...  While there has been advances in observational equipment that generate huge high quality images, the processing of these images remains a major bottleneck.  ...  To the best of our knowledge, this is the first work that leverages provenance to support SIMP.  ... 
doi:10.1145/1871437.1871600 dblp:conf/cikm/MwebazeMBV10 fatcat:k4v4usmacfas3kjvb2bwqh37hy

Artificial Intellgence – Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021 [article]

Karl-Herbert Schäfer
2021 arXiv   pre-print
Its goal is to leverage scalability and detection capability of CNNs to the analysis of quantitative logs for detection of known attacks.  ...  Here pixels to pixels in the image have to be assigned to the 3D surface on the model 3D.  ...  In total, 4298 images of the category "cat" and 4562 images from the categorie "dog", with a total of 43200 image descriptions, are filtered from the dataset.  ... 
arXiv:2112.05657v1 fatcat:wdjgymicyrfybg5zth2dc2i3ni

AI and ML – Enablers for Beyond 5G Networks

Alexandros Kaloxylos, Anastasius Gavras, Daniel Camps Mur, Mir Ghoraishi, Halid Hrasnica
2020 Zenodo  
The white paper introduces the main relevant mechanisms in Artificial Intelligence and Machine Learning currently investigated and exploited for 5G and beyond 5G networks.  ...  Moreover, it becomes apparent that a similar problem exists in the image processing field, where images with small number of pixels are enhanced to high-resolution.  ...  In particular, two-dimensional CNNs (2D-CNNs) have been extensively utilized in image processing, where they can complete complex tasks on pixel matrices such as face recognition or image quality assessment  ... 
doi:10.5281/zenodo.4299895 fatcat:ngzbopfm6bb43lnrmep6nz5icm

Do we trust image measurements? Variability, accuracy and traceability of image features

Mylene Simon, Joe Chalfoun, Mary Brady, Peter Bajcsy
2016 2016 IEEE International Conference on Big Data (Big Data)  
reproducing the feature values based on provenance.  ...  The system becomes useful for evaluating quality of image measurements, leveraging distributed computational resources for feature computations over big image data, sharing resulting feature values, and  ...  Image Feature Variability Analysis (2) The index i = 1,…,n; j = 1, 2, 3, j is the software index, and n is the number of ROIs, The perimeter values range between 44.4 and 542.5 pixels in the set of randomly  ... 
doi:10.1109/bigdata.2016.7840755 dblp:conf/bigdataconf/SimonCBB16 fatcat:fype35dwkbbibafa27f77svzd4

System Transparency, or How I Learned to Worry about Meaning and Love Provenance! [chapter]

Stephan Zednik, Peter Fox, Deborah L. McGuinness
2010 Lecture Notes in Computer Science  
We will demonstrate knowledge provenance (processing lineage and related domain information) presentation capabilities applied to an existing web-based Earth science data analysis tool (e.g.  ...  Our conclusion is that user accessible visual presentations of knowledge provenance are key to building meaningful user understanding of analysis and processing decisions and should be a key component  ...  Leveraging an OWL ontology as our provenance interlingua was also a supporting factor because OWL supports our requirement of using an interlingua system that supports the integration of multiple domain  ... 
doi:10.1007/978-3-642-17819-1_19 fatcat:dbuaubuq6bcyldlyogpexqg5qq

A Semantic Earth Observation Data Cube for Monitoring Environmental Changes during the Syrian Conflict

Hannah Augustin, Martin Sudmanns, Dirk Tiede, Andrea Baraldi
2018 GI_FORUM - Journal for Geographic Information Science  
This type of data requires automated workflows for handling, processing and analysis, including methods to convert data into valid information.  ...  It proposes a transferable analytical environment with analysis-ready data to facilitate research on replicable extraction of EO-based indicators.  ...  A copy of the source Sentinel-2 dataset's metadata is included in the information layer metadata to document provenance.  ... 
doi:10.1553/giscience2018_01_s214 fatcat:opw7tzmgqfcszeyuy6jwtduuby

DeepLens: Towards a Visual Data Management System [article]

Sanjay Krishnan, Adam Dziedzic, Aaron J. Elmore
2018 arXiv   pre-print
Advances in deep learning have greatly widened the scope of automatic computer vision algorithms and enable users to ask questions directly about the content in images and video.  ...  What is different about this query is that it leverages both the metadata and the pixel data in the bounding boxes.  ...  INTRODUCTION Recent advances in deep learning have enabled new forms of analysis on images and videos [19] .  ... 
arXiv:1812.07607v1 fatcat:afm25oxc3fbtxkjb4wnrhx24ea

The Australian Geoscience Data Cube — Foundations and lessons learned

Adam Lewis, Simon Oliver, Leo Lymburner, Ben Evans, Lesley Wyborn, Norman Mueller, Gregory Raevksi, Jeremy Hooke, Rob Woodcock, Joshua Sixsmith, Wenjun Wu, Peter Tan (+17 others)
2017 Remote Sensing of Environment  
, and collection management systems which track the provenance of each Data Cube product and formalise re-processing decisions; (2) the software environment used to manage and interact with the data; and  ...  components of the AGDC are: (1) data preparation, including geometric and radiometric corrections to Earth observation data to produce standardised surface reflectance measurements that support time-series analysis  ...  Best available pixel composites and temporal statistics 'Best available pixel' composites are used to combine multiple moderate resolution images to generate a seamless coverage for further analysis (  ... 
doi:10.1016/j.rse.2017.03.015 fatcat:7uomnzt5hnhzzjfbtl2p7s5lli
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