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Initial Service Provider DevOps concept, capabilities and proposed tools [article]

Wolfgang John, Catalin Meirosu, Pontus Sköldström, Felician Nemeth, Andras Gulyas, Mario Kind, Sachin Sharma, Ioanna Papafili, George Agapiou, Guido Marchetto, Riccardo Sisto, Rebecca Steinert (+3 others)
2015 arXiv   pre-print
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]

Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann
2020 arXiv   pre-print
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

Xiangyang Liu, Mingyu Nie, Shuming Jiang, Zhiqiang Wei, Fengjiao Li
2017 DEStech Transactions on Engineering and Technology Research  
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

Tao Li, Chris Ding, Fei Wang
2011 Data mining and knowledge discovery  
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

Peng Wang, Zhi-Qiang Liu, Shi-Qiang Yang
2005 Proceedings of the 13th annual ACM international conference on Multimedia - MULTIMEDIA '05  
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

Osvaldo Simeone
2018 Foundations and Trends® in Signal Processing  
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]

Mohamed Elfeki, Liqiang Wang, Ali Borji
2021 arXiv   pre-print
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

Eleanor Batty, Matthew Whiteway, Shreya Saxena, Dan Biderman, Taiga Abe, Simon Musall, Winthrop Gillis, Jeffrey Markowitz, Anne Churchland, John P. Cunningham, Sandeep R. Datta, Scott W. Linderman (+1 others)
2019 Neural Information Processing Systems  
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

Madhu Chandra G., Sreerama Reddy G. M.
2018 International Journal of Electrical and Computer Engineering (IJECE)  
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

Lazaros Zafeiriou, Epameinondas Antonakos, Stefanos Zafeiriou, Maja Pantic
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
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

Manju D., Radha V.
2018 International Journal of Advanced Technology and Engineering Exploration  
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

R. Rajitha Jasmine, Dr. K. K. Thyagharajan
2015 International Journal of Engineering Research and  
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

Brendan Tran Morris, Mohan Manubhai Trivedi
2013 Journal of Electronic Imaging (JEI)  
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

Colleen E. Crangle, Marcos Perreau-Guimaraes, Patrick Suppes, Kevin Paterson
2013 PLoS ONE  
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

Ferda Ofli, Engin Erzin, Yucel Yemez, A. Murat Tekalp
2007 2007 IEEE International Conference on Image Processing  
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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