2019 IEEE Winter Conference on Applications of Computer Vision (WACV) 2019
DOI: 10.1109/wacv.2019.00185
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Beyond Pixels: Image Provenance Analysis Leveraging Metadata

Abstract: Creative works, whether paintings or memes, follow unique journeys that result in their final form. Understanding these journeys, a process known as "provenance analysis," provides rich insights into the use, motivation, and authenticity underlying any given work. The application of this type of study to the expanse of unregulated content on the Internet is what we consider in this paper. Provenance analysis provides a snapshot of the chronology and validity of content as it is uploaded, re-uploaded, and modif… Show more

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Cited by 25 publications
(18 citation statements)
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References 48 publications
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“…The robustness of the resulting models and their ability to generalize to further domains is thus very limited. Datasets like the ISOT Fake News Dataset 15 , FNID 16 and LIAR 17 are based on PolitiFact. FakeNewsNet 18 also uses PolitiFact 19 in combination with GossipCop 20 .…”
Section: B Datasetsmentioning
confidence: 99%
See 1 more Smart Citation
“…The robustness of the resulting models and their ability to generalize to further domains is thus very limited. Datasets like the ISOT Fake News Dataset 15 , FNID 16 and LIAR 17 are based on PolitiFact. FakeNewsNet 18 also uses PolitiFact 19 in combination with GossipCop 20 .…”
Section: B Datasetsmentioning
confidence: 99%
“…The paper also proposes a dataset mined from Reddit. [17] address the scalability issue by inferring possible provenance relations from metadata and thus significantly reduce the number of content matches that need to be performed. For video, this problem (also known as nearduplicate video retrieval) is even more computationally demanding [18].…”
Section: Technologies For Audiovisual Contentmentioning
confidence: 99%
“…Pinto et al [10] present a provenance filtering method to improve retrieval of candidate images by incorporating the context of top results. More recently, Bharati et al [11] design an IPA approach that utilizes commonly present file metadata tags, e.g., date, location, camera, editing, and thumbnail related metadata. Zhang et al [8] demonstrate an approach to learn a pairwise ancestor-offspring classifier for detecting related images, as well as a graph building algorithm that combines local feature matching and pixel similarity scores.…”
Section: Related Workmentioning
confidence: 99%
“…Recently, researchers began to actively study IPA, and a few approaches are introduced in [5,[8][9][10][11]. But the IPA systems still have much room to improve their performance.…”
Section: Introductionmentioning
confidence: 99%
“…The Spatial data mining techniques used so far in different fields are incapable in representing the complete metadata descriptions of the geospatial dataset [8]. Earlier different data mining techniques, statistical techniques, geographical and cartographic techniques are used for retrieval of spatial data but access to spatial data quality information were problematic [9], so for better understanding and efficient use of spatial metadata we will use visual data exploration techniques to explore the geographical metadata, where a visualization will enhance communication between the user and the computer. The visualization techniques are classified into dense pixel display, iconic display, standard 2D/3D display, and interaction and distortion techniques [10].…”
Section: Approach For Visual Metadata Analysismentioning
confidence: 99%