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Crowd Activity Change Point Detection in Videos via Graph Stream Mining
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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In this work, we address this task by proposing a novel activity change point detection method to identify crowd movement anomalies for video surveillance. ...
Finally, we use graph edit distance as well as a cumulative sum test to detect change points in the graph sequence. ...
Conclusions In this paper, we proposed a framework based on crowd density monitoring and graph mining for activity change point detection. ...
doi:10.1109/cvprw.2018.00059
dblp:conf/cvpr/YangRRLRP18
fatcat:jv66hpatgjcu5i4umcadb7vqae
VCIP 2020 Index
2020
2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)
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Zhang, Runtong
Mining Larger Class Activation Map with
Common Attribute Labels
Zhang, Weigang
Video Anomaly Detection Using Open Data Fil
and Domain Adaptation
Zhang, Xiang
Point Cloud Geometry ...
Point Cloud
Attribute Compression
Li, Ge
A point cloud compression framework via
spherical projection
Li, Ge
Point Cloud Attribute Compression via
Successive Subspace Graph Transform
Li, Guodong ...
doi:10.1109/vcip49819.2020.9301896
fatcat:bdh7cuvstzgrbaztnahjdp5s5y
Abnormal Event Detection via Feature Expectation Subgraph Calibrating Classification in Video Surveillance Scenes
2020
IEEE Access
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In order to address the above issues, we propose an abnormal event detection hybrid modulation method via feature expectation subgraph calibrating classification in video surveillance scenes in this paper ...
Finally, the experiments on a common dataset named UCSDped1 and a coal mining video dataset in comparison with some existing works demonstrate that the performance of the proposed method is better than ...
The work in [51] uses a two-stream recurrent variational autoencoder to detect abnormal events in video streams. ...
doi:10.1109/access.2020.2997357
fatcat:yrytr47smnapdla7cwo7sbyqma
Open Source Intelligence in Disaster Management
2012
2012 European Intelligence and Security Informatics Conference
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In particular we present the use of the Sail Labs Media Mining System in the context of disaster relief operations and use samples to point out advantages and strengths of the MM-System. ...
In this paper we discuss the role of Open Source Intelligence (OSINT) in Disaster Management. ...
Locations detected in documents can be plotted onto maps via geo-coordinates. Relationships between detected entities can be visualized and explored via a relationship-graph. ...
doi:10.1109/eisic.2012.42
dblp:conf/eisic/BackfriedSPQGR12
fatcat:4o7jaszj6fd65kkkdx4r53c6ny
2020 Index IEEE Transactions on Image Processing Vol. 29
2020
IEEE Transactions on Image Processing
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., +, TIP 2020 6829-6840
Point Cloud Denoising via Feature Graph Laplacian Regularization. ...
., +, TIP 2020 3311-3320
Visual Saliency Detection via Kernelized Subspace Ranking With Active
Learning. ...
doi:10.1109/tip.2020.3046056
fatcat:24m6k2elprf2nfmucbjzhvzk3m
Deep Anomaly Net: Detecting Moving Object Abnormal Activity Using Tensor Flow
2022
Journal of Internet Services and Information Security
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In-depth, experiments show the progressive performance of our technique in the task of detecting abnormal events. ...
neural network for anomaly detection called AnomalyNet by deep feature learning, sparse representation, and dictionary learning in 3 collaborative neural processing units. ...
An overview and systematic comparison of the state of the art on crowd video analysis is presented in this paper. ...
doi:10.58346/jisis.2022.i4.008
fatcat:plfauqvui5e2jksawapqv2bzee
A comprehensive study of visual event computing
2010
Multimedia tools and applications
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We start by presenting events and their classifications, and continue with discussing the problem of capturing events in terms of photographs, videos, etc, as well as the methodologies for event storing ...
Finally, we suggest future research trends in event computing and hope to introduce a comprehensive profile of visual event computing to readers. ...
This work was partially supported by QUB research project: Unusual event detection in audio-visual surveillance for public transport (NO.D6223EEC). ...
doi:10.1007/s11042-010-0560-9
fatcat:ak6u3eefefgjhmbpr7asru3n7u
A study on video data mining
2012
International Journal of Multimedia Information Retrieval
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Compared to the mining of other types of data, video data mining is still in its infancy. There are many challenging research problems existing with video mining. ...
Data mining is a process of extracting previously unknown knowledge and detecting the interesting patterns from a massive set of data. ...
Xie and Chang [106] investigated the pattern mining strategies in video streams. ...
doi:10.1007/s13735-012-0016-2
fatcat:xuuf3w3b2rfcxlyevzndz6v62e
2021 Index IEEE Transactions on Multimedia Vol. 23
2021
IEEE transactions on multimedia
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-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
Note that the item title is found only under the primary entry in the Author Index. ...
., +, TMM 2021 1442-1453 Spatial-Temporal Cascade Autoencoder for Video Anomaly Detection in Crowded Scenes. ...
doi:10.1109/tmm.2022.3141947
fatcat:lil2nf3vd5ehbfgtslulu7y3lq
Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues
2020
IEEE Access
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We propose a service-oriented layered reference architecture for intelligent video big data analytics in the cloud. ...
Then, a comprehensive and keen review has been conducted to examine cutting-edge research trends in video big data analytics. ...
, and graph mining. ...
doi:10.1109/access.2020.3017135
fatcat:qc62bhzlrfcwblnvurb5okfjxe
The City Brain: Practice of Large-Scale Artificial Intelligence in the Real World
2019
IET Smart Cities
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City Brain is an end-to-end system whose goal is to glean irreplaceable values from big city data, specifically from videos, with the assistance of rapidly evolving artificial intelligence technologies ...
Lastly, they present a few deployment cases of City Brain in various cities in China. ...
Utilising the computer vision technology mentioned above, intelligent analysis such as detection, tracking, crowd counting, and anomaly detection on objects are performed in surveillance videos. ...
doi:10.1049/iet-smc.2019.0034
fatcat:45qm7t5qgve7hgyvfzjl7huocq
Detecting Group Activities With Multi-Camera Context
2013
IEEE transactions on circuits and systems for video technology (Print)
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Human group activities detection in multi-camera CCTV surveillance videos is a pressing demand on smart surveillance. ...
a 468-h video collection, which, to the best of our knowledge, is the largest video collection ever used in human activity detection. ...
Here, τ is the window size when detecting a given activity on a video stream. ...
doi:10.1109/tcsvt.2012.2226526
fatcat:24kqbmbhivhd5lostlsnffizly
Towards Cross-Domain Learning for Social Video Popularity Prediction
2013
IEEE transactions on multimedia
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We develop a transfer learning algorithm that can learn topics from social streams allowing us to model the social prominence of video content and improve popularity predictions in the video domain. ...
In this paper, we propose a novel transfer learning framework that utilizes knowledge from social streams (e.g., Twitter) to grasp sudden popularity bursts in online content. ...
The information in social streams like Twitter is a good indicator of crowd sourcing activity of a social community and can be used to learn about real life events quickly. ...
doi:10.1109/tmm.2013.2265079
fatcat:jycldmgh7rcv7a52ii5ay7oz4i
[Invited Paper] A Review of Web Image Mining
2015
ITE Transactions on Media Technology and Applications
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In this paper, we review works related to big visual data on the Web in the literature of computer vision and multimedia research regarding the following points: (1) Web image acquisition for construction ...
of visual concept database for image/video recognition, (2) Web image application for visual concept analysis and data-driven computer graphics, and (3) real-world sensing through Web images to detect ...
As another work on activity events, anomaly detection from video/image streams has been studied before 153) . ...
doi:10.3169/mta.3.156
fatcat:gduk25dp7nedvm65xurbwzdu3y
2021 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43
2022
IEEE Transactions on Pattern Analysis and Machine Intelligence
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-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
Note that the item title is found only under the primary entry in the Author Index. ...
Locate, Size, and Count: Accurately Resolving People in Dense Crowds via Detection. ...
doi:10.1109/tpami.2021.3126216
fatcat:h6bdbf2tdngefjgj76cudpoyia
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