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Initial Service Provider DevOps concept, capabilities and proposed tools
[article]
2015
arXiv
pre-print
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This report presents a first sketch of the Service Provider DevOps concept including four major management processes to support the roles of both service and VNF developers as well as the operator in a ...
Finally, the report identifies requirements for realizing SP-DevOps within an combined cloud and transport network environment as outlined by the UNIFY NFV architecture. ...
In cooperation with the service instantiation and deployment framework developed in WP3, we will work on specifying how to describe monitoring and verification capabilities such that they could be integrated ...
arXiv:1510.02220v2
fatcat:djlkhh2dtrbxbo7iinrnlu33kq
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference
[article]
2020
arXiv
pre-print
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Unsupervised multi-object scene decomposition is a fast-emerging problem in representation learning. ...
We propose a novel spatio-temporal iterative inference framework that is powerful enough to jointly model complex multi-object representations and explicit temporal dependencies between latent variables ...
Acknowledgments and Disclosure of Funding This work was funded, in part, by the Vector Institute for AI, Canada CIFAR AI Chair, NSERC CRC and an NSERC DG and Discovery Accelerator Grants. ...
arXiv:2006.14727v1
fatcat:pvk3z4jqe5fkzogaaf7o73pz6i
Automatic Traffic Abnormality Detection in Traffic Scenes: An Overview
2017
DEStech Transactions on Engineering and Technology Research
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has become a research focus in the intelligent transportation field. ...
improvement of the computer's ability of data processing, and the rapid development of image processing and pattern recognition technology, the traffic information automatic detection technology based on video ...
Morris and Trivedi [33] proposed a three-stage hierarchical framework for unsupervised visual scene description and live analysis. ...
doi:10.12783/dtetr/ismii2017/16639
fatcat:s5n256b77rfi3aqi3v7nonuigq
Guest editorial: special issue on data mining with matrices, graphs and tensors
2011
Data mining and knowledge discovery
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These matrix-formulated optimization-centric methodologies are rapidly becoming a significant part of data mining, and have evolved into a popular and rapidlyexpanding research area for solving challenging ...
With these, the data mining task becomes a process of minimizing or maximizing a desired objective function of matrix variables. ...
Geoff Webb for his great help and support in organizing the issue. ...
doi:10.1007/s10618-011-0214-1
fatcat:n4mf2ceoqzeitjdwq2opwtlm6e
A probabilistic template-based approach to discovering repetitive patterns in broadcast videos
2005
Proceedings of the 13th annual ACM international conference on Multimedia - MULTIMEDIA '05
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Unsupervised mining techniques provide generic solutions to discovering such temporal patterns in various video genres, which are currently the subject of great interests to researchers working on multimedia ...
In this paper, we propose a novel approach to automatically detecting repetitive patterns in a video stream. ...
To provide more generic and content-adaptive solutions to video analysis, many researchers have recently proposed unsupervised mining techniques [1] . ...
doi:10.1145/1101149.1101238
dblp:conf/mm/WangLY05
fatcat:lhri6pexzvh7jhjvbnbkcmth24
A Brief Introduction to Machine Learning for Engineers
2018
Foundations and Trends® in Signal Processing
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The treatment concentrates on probabilistic models for supervised and unsupervised learning problems. ...
I typically respond with a list of books -for a general, but slightly outdated introduction, read this book; for a detailed survey of methods based on probabilistic models, check this other reference; ...
doi:10.1561/2000000102
fatcat:ltux727n3zf3thyf7tihy7jugq
Multi-Stream Dynamic Video Summarization
[article]
2021
arXiv
pre-print
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With vast amounts of video content being uploaded to the Internet every minute, video summarization becomes critical for efficient browsing, searching, and indexing of visual content. ...
We present a robust framework that (a) identifies a diverse set of important events among moving cameras that often are not capturing the same scene, and (b) selects the most representative view(s) at ...
Approach
Determinantal Point Process (DPP) DPP is a probabilistic measure that provides a tractable and efficient means to capture negative correlation with respect to a similarity measure [28, 21] ...
arXiv:1812.00108v4
fatcat:4lizrpsj5bgr5nupdr7iyr2uye
BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos
2019
Neural Information Processing Systems
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Here we introduce a probabilistic framework for the analysis of behavioral video and neural activity. ...
This framework provides tools for compression, segmentation, generation, and decoding of behavioral videos. ...
Harris for generously making their data publicly available. ...
dblp:conf/nips/BattyWSBAMGMCCD19
fatcat:yi5z2lbrgbadpdbxrbefwhw7jy
Framework for Contextual Outlier Identification using Multivariate Analysis approach and Unsupervised Learning
2018
International Journal of Electrical and Computer Engineering (IJECE)
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Therefore, we presented a framework that uses unsupervised learning approach in order to perform precise identification of outliers for a given video frames with respect to the contextual information of ...
Majority of the existing commercial application for video surveillance system only captures the event frames where the accuracy level of captures is too poor. ...
Therefore, the proposed system offers a unique framework that utilizes unsupervised learning mechanism for developing an involuntary system for detecting abnormal events. ...
doi:10.11591/ijece.v8i2.pp1092-1101
fatcat:5fmjgqzdsbbcriatjwk6hknlxa
Joint Unsupervised Deformable Spatio-Temporal Alignment of Sequences
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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That is, in order to align two sequences, a methodology that (non)-rigidly aligns the images is first applied, followed by temporal alignment of the obtained aligned images. ...
Furthermore, we show that deformable spatio-temporal alignment of faces can be performed in an unsupervised manner (i.e., without employing face trackers or building person-specific deformable models). ...
Probabilistic Interpretation The proposed optimization problem also provides the maximum-likelihood solution of a shared space generative autoregressive model. ...
doi:10.1109/cvpr.2016.368
dblp:conf/cvpr/ZafeiriouAZP16
fatcat:6shb6chb35ehrbuygocv4rg2qe
A survey on human activity prediction techniques
2018
International Journal of Advanced Technology and Engineering Exploration
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So, there is a great demand for an intelligent system to detect abnormal events in videos. In the surveillance tasks, people are generally the main objects of interest. ...
This paper presents a survey on different human activity prediction techniques in video surveillance system. Initially, different techniques developed by previous researchers are studied in detail. ...
A probabilistic framework [13] was proposed for prediction of dynamical evolution of human activities from a single image. It inferred dynamic information related with a human pose. ...
doi:10.19101/ijatee.2018.547006
fatcat:5puhgznpw5hapfnxzzzfnvfkfa
Study on Recent Approaches for Human Action Recognition in Real Time
2015
International Journal of Engineering Research and
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But, still it is a challenging problem to recognize human action. The challenge is to recognize human actions with more accuracy and efficiency in recognition time. ...
The main aim of action recognition is an automatic analysis of various actions from video data. ...
This method [3] presents hierarchical representations of activity videos in an unsupervised manner. ...
doi:10.17577/ijertv4is080577
fatcat:hikmv56t6jc5la7ipcny5u4kha
Understanding vehicular traffic behavior from video: a survey of unsupervised approaches
2013
Journal of Electronic Imaging (JEI)
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Recent emerging trends for automatic behavior analysis and understanding from infrastructure video are reviewed. ...
In addition, the most popular public datasets for behavioral analysis are presented. Discussion and comment on future directions in the field are also provided. © The Authors. ...
Acknowledgments Support for this study was provided by the UC Discovery Grant program. ...
doi:10.1117/1.jei.22.4.041113
fatcat:ftd2elgj5vd4vaada3hxfsfiby
Structural Similarities between Brain and Linguistic Data Provide Evidence of Semantic Relations in the Brain
2013
PLoS ONE
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The theoretical framework for the analysis of the brain and semantic data derives from axiomatizations of theories such as the theory of differences in utility preference. ...
The main contribution of this paper is the new method it presents for the study of semantics and the brain and the focus it permits on networks of relations detected in brain data and represented by a ...
The same timing was used in the auditory presentation of the sentences, providing a start and end time for each word. ...
doi:10.1371/journal.pone.0065366
pmid:23799009
pmcid:PMC3682999
fatcat:7kv5d6opvfgh3iizwbnvj6et5y
Estimation and Analysis of Facial Animation Parameter Patterns
2007
2007 IEEE International Conference on Image Processing
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We propose a framework for estimation and analysis of temporal facial expression patterns of a speaker. ...
We perform Hidden Markov Model (HMM) based unsupervised temporal segmentation of upper and lower facial expression features separately to determine recurrent elementary facial expression patterns for a ...
The resulting HMM structure provides a probabilistic cluster model for unsupervised segmentation of facial expressions into recurring elementary patterns. ...
doi:10.1109/icip.2007.4380012
dblp:conf/icip/OfliEYT07
fatcat:r3flelicjnf5jlzfy23aa6tazy
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