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LabelMovie: Semi-supervised machine annotation tool with quality assurance and crowd-sourcing options for videos
2014
2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI)
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For multiple reasons, the automatic annotation of video recordings is challenging. ...
The amount of database video instances to be annotated is huge, tedious manual labeling sessions are required, the multi-modal annotation needs exact information of space, time, and context, and the different ...
time series of different lengths. ...
doi:10.1109/cbmi.2014.6849850
dblp:conf/cbmi/PalotaiLSTSTL14
fatcat:dsmgytu3rza43fl7gco4m2zy44
Familiarization tours for first-time users of highly automated cars: Comparing the effects of virtual environments with different levels of interaction fidelity
[article]
2020
arXiv
pre-print
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In the present study, a driving simulator experiment compared the effectiveness of four familiarization groups, control, video, low fidelity virtual reality (VR), and high fidelity VR on automation trust ...
The results revealed the positive impact of familiarization tours on trust, takeover, and handback performance at the first time of measurement. ...
Acknowledgment The authors would like to thank all people that have been involved in the designing VR programs and implementation of the study. ...
arXiv:2002.07968v1
fatcat:krhcx6sijfhizkdmlzeyvarsf4
Page 239 of SMPTE Motion Imaging Journal Vol. 106, Issue 7
[page]
1997
SMPTE Motion Imaging Journal
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Our HD telecine transfer has produced some of the best quality NTSC and PAL masters for home video and laser disc releases. ...
Console/ automation systems include the SL 8000 G Series Console, a mixing console; SL 4000 G Series Console, featuring a wide range of per- sonalized user options and designs; SL 5000 M Series Console ...
Automated podcasting system for universities
2012
2012 15th International Conference on Interactive Collaborative Learning (ICL)
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of a text-based search for the final product by method of indexing video podcasts. ...
This paper presents the results achieved at Graz University of Technology (TU Graz) in the field of automating the process of recording and publishing university lectures in a very new way. ...
We are equally indebted to the Department of Life-LongLearning for supporting our ideas and helping us to work on the future of education. ...
doi:10.1109/icl.2012.6402060
fatcat:uroluhad2zgb5n77x2t22cmcpm
Automated Podcasting System for Universities
2013
International Journal of Emerging Technologies in Learning (iJET)
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of a text-based search for the final product by method of indexing video podcasts. ...
This paper presents the results achieved at Graz University of Technology (TU Graz) in the field of automating the process of recording and publishing university lectures in a very new way. ...
We are equally indebted to the Department of Life-LongLearning for supporting our ideas and helping us to work on the future of education. ...
doi:10.3991/ijet.v8i1.2363
fatcat:wzymatj24zckfo4aiewyuvjwou
Page 165 of Journal of Research and Practice in Information Technology Vol. 24, Issue 4
[page]
1992
Journal of Research and Practice in Information Technology
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The aim of the project is to develop automation systems for robotics and manufacturing, with an emphasis on planning and control software that will be linked to computer aided design systems for integration ...
the quality management principles and requirements of AS 3563 and the related AS 3900 series of standards. ...
QoS-oriented Service Management in clouds for large scale industrial activity recognition
2011
2011 International Conference of Soft Computing and Pattern Recognition (SoCPaR)
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However, the deployment of multiple cameras to exploit redundancies, the large training set requirements of our time series classification models, as well as general resource limitations together with ...
Motivated by the need of industrial enterprises for supervision services for quality, security and safety guarantee, we have developed an Activity Recognition Framework based on computer vision and machine ...
The HMMs should be trained with long time series (i.e. video sequences of long duration), the model parameters should be stored and re-used in the testing phase for the remaining video frames. ...
doi:10.1109/socpar.2011.6089156
dblp:conf/socpar/VoulodimosKGDKV11
fatcat:6xc7s65xz5cstftdoedkvaddka
Scenario-Based Training: Director's Cut
[chapter]
2011
Lecture Notes in Computer Science
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Six instructors rated video fragments of directed and non-directed scenarios in terms of learning value. ...
Results show that the instructors consider directed scenarios to be considerably more effective for learning than non-directed scenarios. Implications for the design of a director agent are discussed. ...
The authors would like to thank Stichting BHV Nederland for their cooperation in this experiment. ...
doi:10.1007/978-3-642-21869-9_35
fatcat:gq2hipbb2bd3hgbp52udz4ppvq
University of Michigan lecture archiving and related activities of the U-M ATLAS Collaboratory Project
2008
Journal of Physics, Conference Series
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The advances the MScribe project has made in automation of these processes, including a robotic camera operator and automated video processing, are now being used to record ATLAS Collaboration events, ...
Our software and hardware architecture has been used to record events for CERN, ATLAS, many units inside the University of Michigan, Fermilab, the American Physical Society and the International Conference ...
Faculty will be able to deliver high quality presentations from CERN for one or two sessions and greatly extend their time at CERN without significantly impacting student learning experiences. ...
doi:10.1088/1742-6596/119/8/082005
fatcat:6t36zzcg55ee5mr6xq2tl4cygm
Security and Surveillance
[chapter]
2011
Visual Analysis of Humans
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This endeavour is intensified further by the need for understanding a massive quantity of video data, with the aim to comprehend multiple entities not only within a single image but also over time across ...
A significant application of video analysis and understanding is intelligent surveillance, which aims to interpret automatically human activity and detect unusual events that could pose a threat to public ...
Honeywell video analytics 6 . 3. Loitering detection aims to detect persons who stay in a controlled area for an extended period of time. ...
doi:10.1007/978-0-85729-997-0_23
fatcat:lodvka4hu5debd7wiovexhca3u
Standards News
2019
IEEE Communications Standards Magazine
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, transfer-learning to help utilizing knowledge acquired for one task to solve the related ones, coordination among closed-control loops, etc. ...
All this requires a new horizontal and vertical end-to-end architecture framework designed for closed-loop automation and optimized for data-driven machine learning and artificial intelligence algorithms ...
, transfer-learning to help utilizing knowledge acquired for one task to solve the related ones, coordination among closed-control loops, etc. ...
doi:10.1109/mcomstd.2019.9031541
fatcat:gef35z3nkrbdpemol2bd6tv5ya
SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity
[article]
2020
arXiv
pre-print
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Instead of proposing yet another heuristic, we take a different approach: we run a separate crowdsourcing experiment for each video to derive users' quality sensitivity at different parts of the video. ...
For instance, rebuffering during key moments of a sports video (e.g., before a goal is scored) is more annoying than rebuffering during normal gameplay. ...
The figure plots (Q max −Q min )/Q min for each video series, where Q max and Q min are the maximum and minimum QoE of the videos in a series. ...
arXiv:2008.04687v1
fatcat:cxaxa26girgypfpyuik3zv3bru
Data Sources
[chapter]
2018
Fundamentals of Clinical Data Science
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Nevertheless, there are many barriers that limit EMR adoption, varying from time, cost, security concerns and vendor trust to absence of computer skills for the physician [1]. ...
To what extent EMRs effectively succeed in improving quality of care and patient safety, remains a matter of debate [12, 16] . ...
Process mining refers to the automated analysis of processes and involves time series analysis. ...
doi:10.1007/978-3-319-99713-1_1
fatcat:rgddqkro4rhprmx26yhategzsy
The Use of Video Captioning for Fostering Physical Activity
[article]
2021
arXiv
pre-print
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It is crucial to consider the sequence of actions in a video in order to generate a meaningful description of the overall action event. ...
Video Captioning involves the combination of different deep learning models to perform object detection, action detection, and localization by processing a sequence of image frames. ...
The prosperity of object detection models has made them suitable for other deep learning tasks, including image and video captioning, automation of making a title for videos [6] , [8] and more. ...
arXiv:2104.03207v1
fatcat:zp22a46ljfdbzogfpp4iuhcipy
Tools for semi-automatic monitoring of industrial workflows
2010
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams - ARTEMIS '10
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Another important feature of the tool chain is the capability to inform the employees about potentially risky conditions using the tool for automatic detection of unusual scenes. ...
Furthermore, the tools help technical administrators in adjusting algorithms by letting the user correct detections (for relevance feedback) and ground truth for evaluation. ...
ACKNOWLEDGMENTS The research leading to these results has received funding from the European Community's Seventh Framework Programme ...
doi:10.1145/1877868.1877889
dblp:conf/mm/MorzingerSRGVBT10
fatcat:qazqrcajhbgeflmsm5h3dz3v2m
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