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You searched for subject:(Complex Event Detection). Showing records 1 – 6 of 6 total matches.

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University of Georgia

1. Chen, Jianxia. Towards advanced event monitoring services on decentralized and delay tolerant networks.

Degree: PhD, Computer Science, 2011, University of Georgia

Event monitoring services are rapidly gaining importance in many application domains ranging from real time monitoring systems in production, logistics and networking to complex event(more)

Subjects/Keywords: Event Monitoring; Event Aggregation; Redundancy Elimination; Complex Event Detection; Delay Tolerant Network; Heuristic Algorithm

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APA (6th Edition):

Chen, J. (2011). Towards advanced event monitoring services on decentralized and delay tolerant networks. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/chen_jianxia_201108_phd

Chicago Manual of Style (16th Edition):

Chen, Jianxia. “Towards advanced event monitoring services on decentralized and delay tolerant networks.” 2011. Doctoral Dissertation, University of Georgia. Accessed November 19, 2019. http://purl.galileo.usg.edu/uga_etd/chen_jianxia_201108_phd.

MLA Handbook (7th Edition):

Chen, Jianxia. “Towards advanced event monitoring services on decentralized and delay tolerant networks.” 2011. Web. 19 Nov 2019.

Vancouver:

Chen J. Towards advanced event monitoring services on decentralized and delay tolerant networks. [Internet] [Doctoral dissertation]. University of Georgia; 2011. [cited 2019 Nov 19]. Available from: http://purl.galileo.usg.edu/uga_etd/chen_jianxia_201108_phd.

Council of Science Editors:

Chen J. Towards advanced event monitoring services on decentralized and delay tolerant networks. [Doctoral Dissertation]. University of Georgia; 2011. Available from: http://purl.galileo.usg.edu/uga_etd/chen_jianxia_201108_phd


University of Technology, Sydney

2. Chang, Xiaojun. Exploring semantic concepts for complex event analysis in unconstrained video clips.

Degree: 2016, University of Technology, Sydney

 Modern consumer electronics (e.g. smart phones) have made video acquisition convenient for the general public. Consequently, the number of videos freely available on the Internet… (more)

Subjects/Keywords: Smart phones.; Video hosting websites (e.g. Youtube).; Unconstrained video clips.; Complex event detection.; High-level semantic representation.; Zero-shot learning.; Multimedia Event Detection (MED).; Multimedia Event Recounting (MER).; New isotonic regularizer.; Proximal gradient algorithm.; ADMM algorithm.

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APA (6th Edition):

Chang, X. (2016). Exploring semantic concepts for complex event analysis in unconstrained video clips. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/52919

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chang, Xiaojun. “Exploring semantic concepts for complex event analysis in unconstrained video clips.” 2016. Thesis, University of Technology, Sydney. Accessed November 19, 2019. http://hdl.handle.net/10453/52919.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chang, Xiaojun. “Exploring semantic concepts for complex event analysis in unconstrained video clips.” 2016. Web. 19 Nov 2019.

Vancouver:

Chang X. Exploring semantic concepts for complex event analysis in unconstrained video clips. [Internet] [Thesis]. University of Technology, Sydney; 2016. [cited 2019 Nov 19]. Available from: http://hdl.handle.net/10453/52919.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chang X. Exploring semantic concepts for complex event analysis in unconstrained video clips. [Thesis]. University of Technology, Sydney; 2016. Available from: http://hdl.handle.net/10453/52919

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Central Florida

3. Yang, Yang. Learning Hierarchical Representations For Video Analysis Using Deep Learning.

Degree: 2013, University of Central Florida

 With the exponential growth of the digital data, video content analysis (e.g., action, event recognition) has been drawing increasing attention from computer vision researchers. Effective… (more)

Subjects/Keywords: Video analysis; deep learning; complex event; object detection; action verification; Electrical and Computer Engineering; Electrical and Electronics; Engineering; Dissertations, Academic  – Engineering and Computer Science, Engineering and Computer Science  – Dissertations, Academic

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APA (6th Edition):

Yang, Y. (2013). Learning Hierarchical Representations For Video Analysis Using Deep Learning. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/2705

Chicago Manual of Style (16th Edition):

Yang, Yang. “Learning Hierarchical Representations For Video Analysis Using Deep Learning.” 2013. Doctoral Dissertation, University of Central Florida. Accessed November 19, 2019. https://stars.library.ucf.edu/etd/2705.

MLA Handbook (7th Edition):

Yang, Yang. “Learning Hierarchical Representations For Video Analysis Using Deep Learning.” 2013. Web. 19 Nov 2019.

Vancouver:

Yang Y. Learning Hierarchical Representations For Video Analysis Using Deep Learning. [Internet] [Doctoral dissertation]. University of Central Florida; 2013. [cited 2019 Nov 19]. Available from: https://stars.library.ucf.edu/etd/2705.

Council of Science Editors:

Yang Y. Learning Hierarchical Representations For Video Analysis Using Deep Learning. [Doctoral Dissertation]. University of Central Florida; 2013. Available from: https://stars.library.ucf.edu/etd/2705


University of Central Florida

4. Bhattacharya, Subhabrata. Recognition Of Complex Events In Open-source Web-scale Videos: Features, Intermediate Representations And Their Temporal Interactions.

Degree: 2013, University of Central Florida

 Recognition of complex events in consumer uploaded Internet videos, captured under realworld settings, has emerged as a challenging area of research across both computer vision… (more)

Subjects/Keywords: Complex event recognition; multimedia event detection; covariance matrices; lie algebra; riemannian manifolds; cinematographic techniques; shot classification; video descriptors; maximum likelihood estimates; linear dynamical systems; block hankel matrices; Computer Engineering; Engineering; Dissertations, Academic  – Engineering and Computer Science, Engineering and Computer Science  – Dissertations, Academic

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bhattacharya, S. (2013). Recognition Of Complex Events In Open-source Web-scale Videos: Features, Intermediate Representations And Their Temporal Interactions. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/2604

Chicago Manual of Style (16th Edition):

Bhattacharya, Subhabrata. “Recognition Of Complex Events In Open-source Web-scale Videos: Features, Intermediate Representations And Their Temporal Interactions.” 2013. Doctoral Dissertation, University of Central Florida. Accessed November 19, 2019. https://stars.library.ucf.edu/etd/2604.

MLA Handbook (7th Edition):

Bhattacharya, Subhabrata. “Recognition Of Complex Events In Open-source Web-scale Videos: Features, Intermediate Representations And Their Temporal Interactions.” 2013. Web. 19 Nov 2019.

Vancouver:

Bhattacharya S. Recognition Of Complex Events In Open-source Web-scale Videos: Features, Intermediate Representations And Their Temporal Interactions. [Internet] [Doctoral dissertation]. University of Central Florida; 2013. [cited 2019 Nov 19]. Available from: https://stars.library.ucf.edu/etd/2604.

Council of Science Editors:

Bhattacharya S. Recognition Of Complex Events In Open-source Web-scale Videos: Features, Intermediate Representations And Their Temporal Interactions. [Doctoral Dissertation]. University of Central Florida; 2013. Available from: https://stars.library.ucf.edu/etd/2604


Pontifical Catholic University of Rio de Janeiro

5. IGOR OLIVEIRA VASCONCELOS. [en] A MOBILE AND ONLINE OUTLIER DETECTION OVER MULTIPLE DATA STREAMS: A COMPLEX EVENT PROCESSING APPROACH FOR DRIVING BEHAVIOR DETECTION.

Degree: 2017, Pontifical Catholic University of Rio de Janeiro

[pt] Dirigir é uma tarefa diária que permite uma locomoção mais rápida e mais confortável, no entanto, mais da metade dos acidentes fatais estão relacionados… (more)

Subjects/Keywords: [pt] DISPOSITIVOS MOVEIS; [en] MOBILE DEVICES; [pt] PROCESSAMENTO DE EVENTOS COMPLEXOS; [en] COMPLEX EVENT PROCESSING; [pt] DETECCAO ONLINE DE ANOMALIA; [en] ONLINE ANOMALY DETECTION; [pt] SENSORIAMENTO A BORDO DO VEICULO; [en] IN-VEHICLE SENSING; [pt] DETECCAO ONLINE DO COMPORTAMENTO DE CONDUCAO; [en] ONLINE DRIVING BEHAVIOR DETECTION

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APA (6th Edition):

VASCONCELOS, I. O. (2017). [en] A MOBILE AND ONLINE OUTLIER DETECTION OVER MULTIPLE DATA STREAMS: A COMPLEX EVENT PROCESSING APPROACH FOR DRIVING BEHAVIOR DETECTION. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=30648

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

VASCONCELOS, IGOR OLIVEIRA. “[en] A MOBILE AND ONLINE OUTLIER DETECTION OVER MULTIPLE DATA STREAMS: A COMPLEX EVENT PROCESSING APPROACH FOR DRIVING BEHAVIOR DETECTION.” 2017. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed November 19, 2019. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=30648.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

VASCONCELOS, IGOR OLIVEIRA. “[en] A MOBILE AND ONLINE OUTLIER DETECTION OVER MULTIPLE DATA STREAMS: A COMPLEX EVENT PROCESSING APPROACH FOR DRIVING BEHAVIOR DETECTION.” 2017. Web. 19 Nov 2019.

Vancouver:

VASCONCELOS IO. [en] A MOBILE AND ONLINE OUTLIER DETECTION OVER MULTIPLE DATA STREAMS: A COMPLEX EVENT PROCESSING APPROACH FOR DRIVING BEHAVIOR DETECTION. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2017. [cited 2019 Nov 19]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=30648.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

VASCONCELOS IO. [en] A MOBILE AND ONLINE OUTLIER DETECTION OVER MULTIPLE DATA STREAMS: A COMPLEX EVENT PROCESSING APPROACH FOR DRIVING BEHAVIOR DETECTION. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2017. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=30648

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Central Florida

6. Oreifej, Omar. Robust Subspace Estimation Using Low-rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition.

Degree: 2013, University of Central Florida

 In this dissertation, we discuss the problem of robust linear subspace estimation using low-rank optimization and propose three formulations of it. We demonstrate how these… (more)

Subjects/Keywords: low rank representation; low rank; sparse representation; sparse; activity recognition; turbulence mitigation; video denoising; complex event recognition; nuclear norm; augmented lagrange multiplier; camera motion estimation; trecvid; hoha; water waves; rank; trajectories; particle advection; registration; decomposition; moving object detection; background subtraction; atmospheric turbulence; Computer Engineering; Engineering; Dissertations, Academic  – Engineering and Computer Science, Engineering and Computer Science  – Dissertations, Academic

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Oreifej, O. (2013). Robust Subspace Estimation Using Low-rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/2569

Chicago Manual of Style (16th Edition):

Oreifej, Omar. “Robust Subspace Estimation Using Low-rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition.” 2013. Doctoral Dissertation, University of Central Florida. Accessed November 19, 2019. https://stars.library.ucf.edu/etd/2569.

MLA Handbook (7th Edition):

Oreifej, Omar. “Robust Subspace Estimation Using Low-rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition.” 2013. Web. 19 Nov 2019.

Vancouver:

Oreifej O. Robust Subspace Estimation Using Low-rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition. [Internet] [Doctoral dissertation]. University of Central Florida; 2013. [cited 2019 Nov 19]. Available from: https://stars.library.ucf.edu/etd/2569.

Council of Science Editors:

Oreifej O. Robust Subspace Estimation Using Low-rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition. [Doctoral Dissertation]. University of Central Florida; 2013. Available from: https://stars.library.ucf.edu/etd/2569

.