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Federated Dynamic GNN with Secure Aggregation [article]

Meng Jiang and Taeho Jung and Ryan Karl and Tong Zhao
2020 arXiv   pre-print
Given video data from multiple personal devices or street cameras, can we exploit the structural and dynamic information to learn dynamic representation of objects for applications such as distributed  ...  We design an appropriate aggregation mechanism of secure aggregation primitives that can protect the security and privacy in federated learning with scalability.  ...  Figure 4 : 4 Data Publishing Game Definition B.2.  ... 
arXiv:2009.07351v1 fatcat:7j6bklorfbegdddgqj42lsknwe

A survey of privacy-preserving mechanisms for heterogeneous data types

Mariana Cunha, Ricardo Mendes, João P. Vilela
2021 Computer Science Review  
Building from the achieved knowledge, we propose a privacy taxonomy that establishes a relation between different types of data and suitable PPMs for the characteristics of those data types.  ...  Due to the pervasiveness of always connected devices, large amounts of heterogeneous data are continuously being collected.  ...  Regarding the publication of video data, Wang et al. proposed a novel privacy notion ϵ-Object Indistinguishability for sensitive objects in video data, and a video sanitization technique, named VERRO  ... 
doi:10.1016/j.cosrev.2021.100403 fatcat:g77hxznnjfdxjjj52sxsjenlzy


E.X. Xamidov, J.M. Xodjimatov
2022 Zenodo  
This article discusses the models of object detection systems in video streams on a mobile device and the principles of their operation.  ...  Important aspects of cameras for detecting objects on mobile devices are mentioned. In order to increase accuracy, it is recommended to work on errors and take measures to eliminate them.  ...  Such errors occur if, under the environmental conditions in which the recognized object is located, its image becomes indistinguishable from the image of another class object.  ... 
doi:10.5281/zenodo.6413612 fatcat:3kzlvulrajbktehn73hftw7ffi

The MSR-Video to Text Dataset with Clean Annotations [article]

Haoran Chen, Jianmin Li, Simone Frintrop, Xiaolin Hu
2022 arXiv   pre-print
Experimental results showed that data cleaning boosted the performances of the models measured by popular quantitative metrics.  ...  Video captioning automatically generates short descriptions of the video content, usually in form of a single sentence. Many methods have been proposed for solving this task.  ...  MSR-VTT v1 was published in 2016 (Xu et al., 2016b) . It contains 10,000 video clips and 200,000 captions. Each video clip pairs with 20 captions.  ... 
arXiv:2102.06448v3 fatcat:jhjncjvsc5bw7mj6rgtvaz6g2y

Hacking VMAF and VMAF NEG: vulnerability to different preprocessing methods [article]

Maksim Siniukov, Anastasia Antsiferova, Dmitriy Kulikov, Dmitriy Vatolin
2021 arXiv   pre-print
Video-quality measurement plays a critical role in the development of video-processing applications.  ...  In this paper, we show how video preprocessing can artificially increase the popular quality metric VMAF and its tuning-resistant version, VMAF NEG.  ...  The authors of [4] analyzed the effect of video preprocessing on visual quality and compared it with objective metrics.  ... 
arXiv:2107.04510v2 fatcat:nipyf7ejjfdanpiwty7767q3si

High-speed switchable lens enables the development of a volumetric stereoscopic display

Gordon D. Love, David M. Hoffman, Philip J.W. Hands, James Gao, Andrew K. Kirby, Martin S. Banks
2009 Optics Express  
of two objects like the ones depicted in a with the camera focused on the far object.  ...  The video shows images captured through the system with the lens assembly in each of its four focal states.  ... 
doi:10.1364/oe.17.015716 pmid:19724571 pmcid:PMC3056506 fatcat:ybyzjgfvujf4vglx3xesrt7vey

Predicting visual stimuli on the basis of activity in auditory cortices

Kaspar Meyer, Jonas T Kaplan, Ryan Essex, Cecelia Webber, Hanna Damasio, Antonio Damasio
2010 Nature Neuroscience  
Using multivariate pattern analysis of functional magnetic resonance imaging data, we found that the subjective experience of sound, in the absence of auditory stimulation, was associated with content-specific  ...  While lying in the scanner, our subjects (n = 8) watched muted 5-s video clips depicting events that implied sound (Supplementary Videos 1-3).  ...  Our data indicate that hearing sounds in the mind's ear is associated with content-specific activity in very early auditory cortices.  ... 
doi:10.1038/nn.2533 pmid:20436482 fatcat:mgouchda2nhzrfckdcvkszro4i

Wireless Video Quality Assessment: A Study of Subjective Scores and Objective Algorithms

Anush Krishna Moorthy, Kalpana Seshadrinathan, Rajiv Soundararajan, Alan Conrad Bovik
2010 IEEE transactions on circuits and systems for video technology (Print)  
In an endeavor to emulate human perception of quality, various objective video quality assessment (VQA) algorithms have been developed.  ...  Various leading full reference VQA algorithms were tested for their correlation with human perception.  ...  The video database from the VQEG is dated-the report was published in 2000, and was made specifically for TV and hence contains interlaced videos.  ... 
doi:10.1109/tcsvt.2010.2041829 fatcat:nlswhg6zkbhydftlfdwmsayyw4

NREM Arousal Parasomnias and Their Distinction from Nocturnal Frontal Lobe Epilepsy: A Video EEG Analysis

Christopher P. Derry, A. Simon Harvey, Matthew C. Walker, John S. Duncan, Samuel F. Berkovic
2009 Sleep  
the assessment of video-EEG monitoring data or home video recordings.  ...  Video data for each event were reviewed in detail.  ...  Video 9-Nocturnal frontal lobe seizure,with clear dystonic posturing, but commencing with several seconds of arousal behaviour; this arousal is indistinguishable from the onset of many parasomnias.  ... 
doi:10.1093/sleep/32.12.1637 pmid:20041600 pmcid:PMC2786048 fatcat:bb5bqxz6ezhijnejzjy2v6lv7u

The Power of Deep Learning Models: Applications

2019 International journal of recent technology and engineering  
This paper tries to establish a ground for new researchers with different real-time applications of Deep Learning.  ...  complete study of all applications of Deep Learning, rather it focuses on some of the highly researched themes and popular applications in domains such Image Processing, Sound/Speech Processing, and Video  ...  Generative model improves over time based on the Discriminative model's loss output, to the point where generated fake data is indistinguishable from original data of training dataset.  ... 
doi:10.35940/ijrte.b1468.0982s1119 fatcat:2lnteioh35ap5g7622hnuju3iy

What has been missed for predicting human attention in viewing driving clips?

Jiawei Xu, Shigang Yue, Federica Menchinelli, Kun Guo
2017 PeerJ  
In this free-viewing eye-tracking study we manipulated the spatio-temporal regularity of traffic videos by presenting them in normal video sequence, reversed video sequence, normal frame sequence, and  ...  The inferior predictability of the models was evident from indistinguishable gaze prediction irrespective of stimuli presentation sequence, and weak central fixation bias.  ...  The location of gaze point within each video frame was extracted from the raw data.  ... 
doi:10.7717/peerj.2946 pmid:28168112 pmcid:PMC5291110 fatcat:w6np5c6pivcmbcwrqgz32re5xy

Simple Dynamic Key Management in SQL Randomization

Serguei A. Mokhov, Jian Li, Lingyu Wang
2009 2009 3rd International Conference on New Technologies, Mobility and Security  
The JDSF project explores secure data storage related issues from the point of view of data security in the two projects.  ...  aspects related to data security (confidentiality, origin authentication, integrity, and SQL randomization).  ...  The seller of the digital data knows one of his videos has been edited and published without payment of royalties.  ... 
doi:10.1109/ntms.2009.5384673 dblp:conf/ntms/MokhovLW09 fatcat:g4uik2iwp5a7bckaxx2uy2n2vq

Attention-based video reframing: Validation using eye-tracking

Christel Chamaret, Olivier Le Meur
2008 Pattern Recognition (ICPR), Proceedings of the International Conference on  
The direct transfer of contents that are not specifically shot for the mobile device will provide indistinguishable objects.  ...  As most of video contents are not produced with small-screen viewing in mind, the direct transfer of video contents would provide a video on which the main objects of interest may become indistinguishable  ...  Concerning the video domain, few works have been published. Potential rival techniques belong to the broadcasting world.  ... 
doi:10.1109/icpr.2008.4761569 dblp:conf/icpr/ChamaretM08 fatcat:occzmmscrfc5rbzbdhh24ootdi

Reverse-engineering a watermark detector based on a more precise model

Jun Yu, Scott Craver, Reiner Creutzburg, David Akopian
2010 Multimedia on Mobile Devices 2010  
Publications: This effort resulted in several new discoveries in data hiding, notably embedding in pseudo-random state (coin flip) channels, a refinement of noise caliper techniques, and the development  ...  This produces data that is indistinguishable from random coin flips, and can also be immune to noise in the channel.  ...  A major problem with this type of channel is that the embedded data must not exhibit any structure identifying it as a message; it must look like random noise, and any embedded cryptography must be indistinguishable  ... 
doi:10.1117/12.839161 fatcat:dugzsszdfvgxjjehn55r44xm7i

A cutting edge approach to assessing physical activities occurring on sidewalks/streets (Preprint)

Richard Robert Suminski Jr, Gregory Dominick, Philip Saponaro
2018 JMIR Research Protocols  
The specific aims are to improve the BWM by incorporating a WVD (eyeglasses with a high-definition video camera in the frame) into the methodology and advance this WVD-enhanced BWM by applying machine  ...  The video data will then be analyzed automatically using multiple deep convolutional neural networks (CNNs) to determine the number of humans in the observation fields and the type of PAs performed.  ...  We expect this concern to be eliminated with the use of the video glasses which are indistinguishable from regular glasses.  ... 
doi:10.2196/12976 pmid:31364605 pmcid:PMC6692107 fatcat:fakqj2jyb5f3fo2pyqjlpm34la
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