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Exploiting Spatial Structure for Localizing Manipulated Image Regions

Jawadul H. Bappy, Amit K. Roy-Chowdhury, Jason Bunk, Lakshmanan Nataraj, B.S. Manjunath
2017 2017 IEEE International Conference on Computer Vision (ICCV)  
., the spatial structure, between manipulated and non-manipulated regions with the combination of LSTM and convolution layers.  ...  Unlike semantic object segmentation where all meaningful regions (objects) are segmented, the localization of image manipulation focuses only the possible tampered region which makes the problem even more  ...  The paper is approved for public release, distribution unlimited.  ... 
doi:10.1109/iccv.2017.532 dblp:conf/iccv/BappyRBNM17 fatcat:baslmteninhdxe7k7rheyxohpa

Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing [article]

Hyunsu Kim, Yunjey Choi, Junho Kim, Sungjoo Yoo, Youngjung Uh
2021 arXiv   pre-print
Experimental results demonstrate that our method significantly outperforms state-of-the-art models in various image manipulation tasks such as local editing and image interpolation.  ...  Although manipulating the latent vectors controls the synthesized outputs, editing real images with GANs suffers from i) time-consuming optimization for projecting real images to the latent vectors, ii  ...  Swap Autoencoder [43] shows region editing that the structure code also can be manipulated locally.  ... 
arXiv:2104.14754v2 fatcat:uqqjnaazbvg7vmunoy7gbj7kmm

Constrained R-CNN: A general image manipulation detection model [article]

Chao Yang, Huizhou Li, Fangting Lin, Bin Jiang, Hao Zhao
2020 arXiv   pre-print
Second, the attention region proposal network effectively discriminates manipulated regions for the next manipulation classification and coarse localization.  ...  Recently, deep learning-based models have exhibited remarkable performance for image manipulation detection.  ...  In the coarse stage, the expert roughly observes the image for approximate manipulation localization.  ... 
arXiv:1911.08217v3 fatcat:qvlorztjtbfonj7melfypz665q

TransForensics: Image Forgery Localization with Dense Self-Attention [article]

Jing Hao and Zhixin Zhang and Shicai Yang and Di Xie and Shiliang Pu
2021 arXiv   pre-print
The former is to model global context and all pairwise interactions between local patches at different scales, while the latter is used for improving the transparency of the hidden layers and correcting  ...  To tackle this challenging problem, we introduce TransForensics, a novel image forgery localization method inspired by Transformers.  ...  If we directly use semantic segmentation network for image forensics, the network would localize both original and manipulated regions, while the original ones are the wrong predictions for image forensics  ... 
arXiv:2108.03871v1 fatcat:r2bzn53ptbhsbg4d4bo5w2zobq

Exposing Deepfake Face Forgeries with Guided Residuals [article]

Zhiqing Guo, Gaobo Yang, Jiyou Chen, Xingming Sun
2022 arXiv   pre-print
Most existing works exploit either spatial-domain features or residual-domain features, while neglecting that two types of features are mutually correlated.  ...  Residual-domain feature is very useful for Deepfake detection because it suppresses irrelevant content features and preserves key manipulation traces.  ...  [33] proposed a two-stream Faster R-CNN for tampering region detection, in which the Spatial Rich Model (SRM) for image steganalysis is exploited to learn residual-domain features.  ... 
arXiv:2205.00753v1 fatcat:dnnofvmxwnbpxjiodcavy3atwi

Image partitioning into convex polygons

Liuyun Duan, Florent Lafarge
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
The over-segmentation of images into atomic regions has become a standard and powerful tool in Vision.  ...  The overall strategy consists in building a Voronoi diagram that conforms to preliminarily detected line-segments, before homogenizing the partition by spatial point process distributed over the image  ...  The authors thank Lionel Laurore, Justin Hyland, Véronique Poujade and Frédéric Trastour for technical discussions and satellite datasets.  ... 
doi:10.1109/cvpr.2015.7298931 dblp:conf/cvpr/DuanL15 fatcat:lwh5oo6btba5pifcqopkqvrbxm

A Novel Graph Embedding Framework for Object Recognition [chapter]

Mario Manzo, Simone Pellino, Alfredo Petrosino, Alessandro Rozza
2015 Lecture Notes in Computer Science  
In this field many well-known methods exploit Bag of Words (BoW) features describing image contents as appearance frequency histogram of visual words.  ...  A digital image is described as a feature vector computed by means of a new graph embedding paradigm on the Attributed Relational SIFT Regions Graph.  ...  The spatial descriptors proposed are easy to build, store and manipulate, and can be employed to explicitly represent many possible spatial configurations between pairs of image regions, considering several  ... 
doi:10.1007/978-3-319-16220-1_24 fatcat:vdxl3icugfdr5lej3uuj7bplqq

Image Tampering Detection Based on Combined Feature Extraction Methods

2020 International Journal of Advanced Trends in Computer Science and Engineering  
Image manipulated identification is varied from longstanding old semantic location since it demonstrates more arrangement to intruding relics than to picture material, which recommend that favored highlights  ...  Finally, joining of SIFT based alter area location result and HOG-CNN based alter locale recognition result.  ...  RELATED WORK In order to exploit spatial structure for localizing manipulated image regions.  ... 
doi:10.30534/ijatcse/2020/176952020 fatcat:7oqrgvewirf55dysmmiadmlfhm

Adaptation to implied tilt: extensive spatial extrapolation of orientation gradients

Neil W. Roach, Ben S. Webb
2013 Frontiers in Psychology  
For more information, please contact eprints@nottingham.ac.uk ORIGINAL RESEARCH ARTICLE To extract the global structure of an image, the visual system must integrate local orientation estimates across  ...  Here, by manipulating the spatial distribution of local elements in noisy circular textures, we demonstrate that remote TAEs are driven by the extrapolation of orientation structure over remarkably large  ...  To investigate the spatial extent over which this effect holds, we could have manipulated the size of this occluded region.  ... 
doi:10.3389/fpsyg.2013.00438 pmid:23882243 pmcid:PMC3715722 fatcat:536yw74ap5blpmis4xlf3vchrm

Polaritonics in complex structures: Confinement, bandgap materials, and coherent control [chapter]

David W. Ward, Eric R. Statz, Jaime D. Beers, T. Feurer, John D. Joannopoulos, Ryan M. Roth, Richard M. Osgood, Kevin J. Webb, Keith A. Nelson
2005 Springer Series in Chemical Physics  
We demonstrate their functionality and exploit polariton confinement for amplification and coherent control using temporal pulse shaping.  ...  The resonant modes within the structures are illustrated and exploited for coherent control and amplification through temporal pulse shaping.  ...  The characteristic polariton responses in these structures have been characterized, and resonance has been exploited for coherent control by properly timed pulse sequences.  ... 
doi:10.1007/3-540-27213-5_91 fatcat:hecjlu4tm5dkdj4l77ows3y64a

A Hybrid Copy-Move Forgery Detection Technique Using Regional Similarity Indices

Rani Susan Oommen, ayamohan M
2015 International Journal of Computer Science & Information Technology (IJCSIT)  
Structural similarity index measure is applied to each block pair in each region to localize the forged portion.  ...  KEYWORDS Copy-move forgery detection, image forensics, local fractal dimension & structural similarity index.  ...  In this work a hybrid approaches issued to localize the manipulated areas. Measurement of local fractal dimension issued to classify image into different texture regions.  ... 
doi:10.5121/ijcsit.2015.7411 fatcat:6doz7w5cpzghvdb6lpr2pm2awi

INTEGRATION OF 2D IMAGES AND RANGE DATA FOR OBJECT SEGMENTATION AND RECOGNITION

Neslihan Bayramoğlu, Oytun Akman, A. Aydm Alatan, Pieter Jonker
2009 Mobile Robotics  
Exploiting the resulting 3D structure of the scene via a time-of-flight camera, background regions are eliminated with the assumption that the objects are placed on planar surfaces.  ...  Next, object recognition is performed using scale invariant features in the captured high resolution images via standard camera.  ...  Moreover, objects targeted for manipulations are usually placed on planar surfaces.  ... 
doi:10.1142/9789814291279_0113 fatcat:25esbvfupnerrhabfqywahwqby

2D/3D Super-Resolution Microscopy by Means of Individual Molecule Localization (IML) and Selective Plane Illumination Microscopy

Francesca Cella Zanacchi, Zeno Lavagnino, Mario Faretta, Laura Furia, Alessio Del Bue, Michela Perrone Donnorso, Emiliano Ronzitti, Alberto Diaspro
2012 Biophysical Journal  
In the last few years localization based techniques, which exploit photoactivation, photoconversion or ground state depletion of fluorescent molecules, became a popular tool for super-resolution imaging  ...  In addition, we obtained similarly high spatial and temporal resolutions imaging other important cellular structures.  ...  In the last few years localization based techniques, which exploit photoactivation, photoconversion or ground state depletion of fluorescent molecules, became a popular tool for super-resolution imaging  ... 
doi:10.1016/j.bpj.2011.11.1230 fatcat:ufr2izy2brcpnlyv7j5lk7bq4i

Live-Cell Super-Resolution Fluorescence Imaging at High Spatiotemporal Resolutions

Sang-Hee Shim, Sara A. Jones, Jiang He, Xiaowei Zhuang
2012 Biophysical Journal  
In the last few years localization based techniques, which exploit photoactivation, photoconversion or ground state depletion of fluorescent molecules, became a popular tool for super-resolution imaging  ...  In addition, we obtained similarly high spatial and temporal resolutions imaging other important cellular structures.  ...  In the last few years localization based techniques, which exploit photoactivation, photoconversion or ground state depletion of fluorescent molecules, became a popular tool for super-resolution imaging  ... 
doi:10.1016/j.bpj.2011.11.1229 fatcat:eutouzmrxrgmjer42o6iivx2pm

Superresolution and Single Molecule Imaging of Transcription by Reflected Light Sheet Microscopy

J. Christof M. Gebhardt, Rahul Roy, David Suter, Ziqing Zhao, Alec Chapman, X. Sunney Xie
2012 Biophysical Journal  
In the last few years localization based techniques, which exploit photoactivation, photoconversion or ground state depletion of fluorescent molecules, became a popular tool for super-resolution imaging  ...  In addition, we obtained similarly high spatial and temporal resolutions imaging other important cellular structures.  ...  In the last few years localization based techniques, which exploit photoactivation, photoconversion or ground state depletion of fluorescent molecules, became a popular tool for super-resolution imaging  ... 
doi:10.1016/j.bpj.2011.11.1228 fatcat:jzgvwfc3jvejfm4nahdm5b3qam
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