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You searched for subject:(Video segmentation). Showing records 1 – 30 of 128 total matches.

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University of Edinburgh

1. Papazoglou, Anestis. Video object segmentation and applications in temporal alignment and aspect learning.

Degree: PhD, 2016, University of Edinburgh

 Modern computer vision has seen recently significant progress in learning visual concepts from examples. This progress has been fuelled by recent models of visual appearance… (more)

Subjects/Keywords: 006.3; video; video segmentation; temporal alignment; aspect

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APA (6th Edition):

Papazoglou, A. (2016). Video object segmentation and applications in temporal alignment and aspect learning. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/25528

Chicago Manual of Style (16th Edition):

Papazoglou, Anestis. “Video object segmentation and applications in temporal alignment and aspect learning.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed August 13, 2020. http://hdl.handle.net/1842/25528.

MLA Handbook (7th Edition):

Papazoglou, Anestis. “Video object segmentation and applications in temporal alignment and aspect learning.” 2016. Web. 13 Aug 2020.

Vancouver:

Papazoglou A. Video object segmentation and applications in temporal alignment and aspect learning. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1842/25528.

Council of Science Editors:

Papazoglou A. Video object segmentation and applications in temporal alignment and aspect learning. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/25528

2. Jain, Suyog Dutt. Human machine collaboration for foreground segmentation in images and videos.

Degree: PhD, Computer Science, 2018, University of Texas – Austin

 Foreground segmentation is defined as the problem of generating pixel level foreground masks for all the objects in a given image or video. Accurate foreground… (more)

Subjects/Keywords: Computer vision; Crowdsourcing; Human machine collaboration; Image and video segmentation; Image segmentation; Video segmentation; Foreground segmentation; Object segmentation

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APA (6th Edition):

Jain, S. D. (2018). Human machine collaboration for foreground segmentation in images and videos. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63453

Chicago Manual of Style (16th Edition):

Jain, Suyog Dutt. “Human machine collaboration for foreground segmentation in images and videos.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed August 13, 2020. http://hdl.handle.net/2152/63453.

MLA Handbook (7th Edition):

Jain, Suyog Dutt. “Human machine collaboration for foreground segmentation in images and videos.” 2018. Web. 13 Aug 2020.

Vancouver:

Jain SD. Human machine collaboration for foreground segmentation in images and videos. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2152/63453.

Council of Science Editors:

Jain SD. Human machine collaboration for foreground segmentation in images and videos. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/63453


UCLA

3. Taylor, Brian. Leveraging Occlusion Cues for Causal Video Object Segmentation.

Degree: Computer Science, 2016, UCLA

 This thesis describes a framework leveraging occlusions as a cue for detecting objects and accurately localizing their boundaries throughout the course of a video. Triggered… (more)

Subjects/Keywords: Computer science; depth layer segmentation; object tracking; occlusions; video object segmentation; video segmentation

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APA (6th Edition):

Taylor, B. (2016). Leveraging Occlusion Cues for Causal Video Object Segmentation. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/3xz0z5k9

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):

Taylor, Brian. “Leveraging Occlusion Cues for Causal Video Object Segmentation.” 2016. Thesis, UCLA. Accessed August 13, 2020. http://www.escholarship.org/uc/item/3xz0z5k9.

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

MLA Handbook (7th Edition):

Taylor, Brian. “Leveraging Occlusion Cues for Causal Video Object Segmentation.” 2016. Web. 13 Aug 2020.

Vancouver:

Taylor B. Leveraging Occlusion Cues for Causal Video Object Segmentation. [Internet] [Thesis]. UCLA; 2016. [cited 2020 Aug 13]. Available from: http://www.escholarship.org/uc/item/3xz0z5k9.

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

Council of Science Editors:

Taylor B. Leveraging Occlusion Cues for Causal Video Object Segmentation. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/3xz0z5k9

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


Northeastern University

4. Dicle, Caglayan. Leveraging dynamics in computer vision problems: user friendly and theoretically sound tools.

Degree: PhD, Department of Electrical and Computer Engineering, 2016, Northeastern University

 Many Computer Vision tasks deal with data, such as video or image sequences, that are highly temporally coherent in content. Some hallmark examples may include… (more)

Subjects/Keywords: dynamics; computer vision; crowd segmentation; video decryption

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APA (6th Edition):

Dicle, C. (2016). Leveraging dynamics in computer vision problems: user friendly and theoretically sound tools. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20251058

Chicago Manual of Style (16th Edition):

Dicle, Caglayan. “Leveraging dynamics in computer vision problems: user friendly and theoretically sound tools.” 2016. Doctoral Dissertation, Northeastern University. Accessed August 13, 2020. http://hdl.handle.net/2047/D20251058.

MLA Handbook (7th Edition):

Dicle, Caglayan. “Leveraging dynamics in computer vision problems: user friendly and theoretically sound tools.” 2016. Web. 13 Aug 2020.

Vancouver:

Dicle C. Leveraging dynamics in computer vision problems: user friendly and theoretically sound tools. [Internet] [Doctoral dissertation]. Northeastern University; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2047/D20251058.

Council of Science Editors:

Dicle C. Leveraging dynamics in computer vision problems: user friendly and theoretically sound tools. [Doctoral Dissertation]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20251058


University of Southern California

5. Zhang, Jiangyang. Advanced visual processing techniques for latent fingerprint detection and video retargeting.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 An important step in an automated fingerprint identification systems (AFIS) is the process of fingerprint segmentation. While a tremendous amount of efforts has been made… (more)

Subjects/Keywords: latent fingerprint segmentation; image retargeting; video retargeting

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APA (6th Edition):

Zhang, J. (2014). Advanced visual processing techniques for latent fingerprint detection and video retargeting. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/382016/rec/552

Chicago Manual of Style (16th Edition):

Zhang, Jiangyang. “Advanced visual processing techniques for latent fingerprint detection and video retargeting.” 2014. Doctoral Dissertation, University of Southern California. Accessed August 13, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/382016/rec/552.

MLA Handbook (7th Edition):

Zhang, Jiangyang. “Advanced visual processing techniques for latent fingerprint detection and video retargeting.” 2014. Web. 13 Aug 2020.

Vancouver:

Zhang J. Advanced visual processing techniques for latent fingerprint detection and video retargeting. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Aug 13]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/382016/rec/552.

Council of Science Editors:

Zhang J. Advanced visual processing techniques for latent fingerprint detection and video retargeting. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/382016/rec/552


Colorado State University

6. Dutta, Rahul. Video alignment to a common reference.

Degree: MS(M.S.), Computer Science, 2015, Colorado State University

 Handheld videos often include unintentional motion (jitter) and intentional motion (pan and/or zoom). Human viewers prefer to see jitter removed, creating a smoothly moving camera.… (more)

Subjects/Keywords: foreground segmentation; video stabilization; tracking; computer vision

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APA (6th Edition):

Dutta, R. (2015). Video alignment to a common reference. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/166958

Chicago Manual of Style (16th Edition):

Dutta, Rahul. “Video alignment to a common reference.” 2015. Masters Thesis, Colorado State University. Accessed August 13, 2020. http://hdl.handle.net/10217/166958.

MLA Handbook (7th Edition):

Dutta, Rahul. “Video alignment to a common reference.” 2015. Web. 13 Aug 2020.

Vancouver:

Dutta R. Video alignment to a common reference. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10217/166958.

Council of Science Editors:

Dutta R. Video alignment to a common reference. [Masters Thesis]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/166958


University of Texas – Austin

7. Xiong, Bo. Learning to compose photos and videos from passive cameras.

Degree: PhD, Computer Science, 2019, University of Texas – Austin

 Photo and video overload is well-known to most computer users. With cameras on mobile devices, it is all too easy to snap images and videos… (more)

Subjects/Keywords: Passive cameras; Video highlight detection; Snap point detection; Image segmentation; Video segmentation; Viewing panoramas

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APA (6th Edition):

Xiong, B. (2019). Learning to compose photos and videos from passive cameras. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/5847

Chicago Manual of Style (16th Edition):

Xiong, Bo. “Learning to compose photos and videos from passive cameras.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed August 13, 2020. http://dx.doi.org/10.26153/tsw/5847.

MLA Handbook (7th Edition):

Xiong, Bo. “Learning to compose photos and videos from passive cameras.” 2019. Web. 13 Aug 2020.

Vancouver:

Xiong B. Learning to compose photos and videos from passive cameras. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2020 Aug 13]. Available from: http://dx.doi.org/10.26153/tsw/5847.

Council of Science Editors:

Xiong B. Learning to compose photos and videos from passive cameras. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/5847


Brigham Young University

8. Price, Brian L. Interactive Object Selection and Matting for Video and Images.

Degree: PhD, 2010, Brigham Young University

Video segmentation, the process of selecting an object out of a video sequence, is a fundamentally important process for video editing and special effects. However,… (more)

Subjects/Keywords: video segmentation; image segmentation; image matting; color modeling; Computer Sciences

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APA (6th Edition):

Price, B. L. (2010). Interactive Object Selection and Matting for Video and Images. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3593&context=etd

Chicago Manual of Style (16th Edition):

Price, Brian L. “Interactive Object Selection and Matting for Video and Images.” 2010. Doctoral Dissertation, Brigham Young University. Accessed August 13, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3593&context=etd.

MLA Handbook (7th Edition):

Price, Brian L. “Interactive Object Selection and Matting for Video and Images.” 2010. Web. 13 Aug 2020.

Vancouver:

Price BL. Interactive Object Selection and Matting for Video and Images. [Internet] [Doctoral dissertation]. Brigham Young University; 2010. [cited 2020 Aug 13]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3593&context=etd.

Council of Science Editors:

Price BL. Interactive Object Selection and Matting for Video and Images. [Doctoral Dissertation]. Brigham Young University; 2010. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3593&context=etd


University of Illinois – Urbana-Champaign

9. Xu, Ning. Image and video object selection.

Degree: PhD, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 Image and video object selection present fundamental research problems in the computer vision field and have many practical applications. They are important technologies in image… (more)

Subjects/Keywords: Object selection; Computer vision; Deep learning; Image segmentation; Video segmentation

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APA (6th Edition):

Xu, N. (2017). Image and video object selection. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99515

Chicago Manual of Style (16th Edition):

Xu, Ning. “Image and video object selection.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 13, 2020. http://hdl.handle.net/2142/99515.

MLA Handbook (7th Edition):

Xu, Ning. “Image and video object selection.” 2017. Web. 13 Aug 2020.

Vancouver:

Xu N. Image and video object selection. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2142/99515.

Council of Science Editors:

Xu N. Image and video object selection. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99515


Anna University

10. Kanagavalli R. Shot Segmentation And Video Retrieval Based On Multiple Features;.

Degree: communication engineering, 2012, Anna University

Rapid growth in the field of data capturing and storage along with newlinethe increase in the availability of multimedia content in the web has resulted… (more)

Subjects/Keywords: data capturing; digital video; ELEB; Multiple Features; Shot Segmentation; Video Retrieval

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APA (6th Edition):

R, K. (2012). Shot Segmentation And Video Retrieval Based On Multiple Features;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/22919

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):

R, Kanagavalli. “Shot Segmentation And Video Retrieval Based On Multiple Features;.” 2012. Thesis, Anna University. Accessed August 13, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/22919.

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

MLA Handbook (7th Edition):

R, Kanagavalli. “Shot Segmentation And Video Retrieval Based On Multiple Features;.” 2012. Web. 13 Aug 2020.

Vancouver:

R K. Shot Segmentation And Video Retrieval Based On Multiple Features;. [Internet] [Thesis]. Anna University; 2012. [cited 2020 Aug 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/22919.

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

Council of Science Editors:

R K. Shot Segmentation And Video Retrieval Based On Multiple Features;. [Thesis]. Anna University; 2012. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/22919

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

11. Wehbe, Hassan. Synchronisation automatique d'un contenu audiovisuel avec un texte qui le décrit : Automaatic synchronization between an audiovisual content and the text that describes its content.

Degree: Docteur es, Image, Information, Hypermedia, 2016, Université Toulouse III – Paul Sabatier

Nous abordons le problème de la synchronisation automatique d'un contenu audiovisuel avec une procédure textuelle qui le décrit. La stratégie consiste à extraire des informations… (more)

Subjects/Keywords: Analyse de vidéo; Documents audiovisuels; Synchronisation; Répétition; Segmentation; Video analysis; Audiovisual documents; Synchronization; Repetition; Segmentation

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APA (6th Edition):

Wehbe, H. (2016). Synchronisation automatique d'un contenu audiovisuel avec un texte qui le décrit : Automaatic synchronization between an audiovisual content and the text that describes its content. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2016TOU30104

Chicago Manual of Style (16th Edition):

Wehbe, Hassan. “Synchronisation automatique d'un contenu audiovisuel avec un texte qui le décrit : Automaatic synchronization between an audiovisual content and the text that describes its content.” 2016. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed August 13, 2020. http://www.theses.fr/2016TOU30104.

MLA Handbook (7th Edition):

Wehbe, Hassan. “Synchronisation automatique d'un contenu audiovisuel avec un texte qui le décrit : Automaatic synchronization between an audiovisual content and the text that describes its content.” 2016. Web. 13 Aug 2020.

Vancouver:

Wehbe H. Synchronisation automatique d'un contenu audiovisuel avec un texte qui le décrit : Automaatic synchronization between an audiovisual content and the text that describes its content. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2016. [cited 2020 Aug 13]. Available from: http://www.theses.fr/2016TOU30104.

Council of Science Editors:

Wehbe H. Synchronisation automatique d'un contenu audiovisuel avec un texte qui le décrit : Automaatic synchronization between an audiovisual content and the text that describes its content. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2016. Available from: http://www.theses.fr/2016TOU30104

12. Cojean, Salome. Étayage des activités de recherche d’information et d’apprentissage en environnement vidéo : apports de la segmentation et de la structuration : Scaffolding information seeking and learning in video-based environments : contributions of segmentation and structuration.

Degree: Docteur es, Psychologie, 2018, Rennes 2

Les vidéos sont de plus en plus utilisées dans un contexte pédagogique, mais les formats de présentation sur les plateformes spécialisées (e.g., MOOC) sont variés… (more)

Subjects/Keywords: Apprentissage; Recherche d’information; Vidéo; Segmentation; Structuration; Learning; Information seeking; Video; Segmentation; Structuration; 370.15

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APA (6th Edition):

Cojean, S. (2018). Étayage des activités de recherche d’information et d’apprentissage en environnement vidéo : apports de la segmentation et de la structuration : Scaffolding information seeking and learning in video-based environments : contributions of segmentation and structuration. (Doctoral Dissertation). Rennes 2. Retrieved from http://www.theses.fr/2018REN20038

Chicago Manual of Style (16th Edition):

Cojean, Salome. “Étayage des activités de recherche d’information et d’apprentissage en environnement vidéo : apports de la segmentation et de la structuration : Scaffolding information seeking and learning in video-based environments : contributions of segmentation and structuration.” 2018. Doctoral Dissertation, Rennes 2. Accessed August 13, 2020. http://www.theses.fr/2018REN20038.

MLA Handbook (7th Edition):

Cojean, Salome. “Étayage des activités de recherche d’information et d’apprentissage en environnement vidéo : apports de la segmentation et de la structuration : Scaffolding information seeking and learning in video-based environments : contributions of segmentation and structuration.” 2018. Web. 13 Aug 2020.

Vancouver:

Cojean S. Étayage des activités de recherche d’information et d’apprentissage en environnement vidéo : apports de la segmentation et de la structuration : Scaffolding information seeking and learning in video-based environments : contributions of segmentation and structuration. [Internet] [Doctoral dissertation]. Rennes 2; 2018. [cited 2020 Aug 13]. Available from: http://www.theses.fr/2018REN20038.

Council of Science Editors:

Cojean S. Étayage des activités de recherche d’information et d’apprentissage en environnement vidéo : apports de la segmentation et de la structuration : Scaffolding information seeking and learning in video-based environments : contributions of segmentation and structuration. [Doctoral Dissertation]. Rennes 2; 2018. Available from: http://www.theses.fr/2018REN20038


University of Windsor

13. Mukherjee, Dibyendu. Enhancing the Potential of the Conventional Gaussian Mixture Model for Segmentation: from Images to Videos.

Degree: PhD, Electrical and Computer Engineering, 2014, University of Windsor

Segmentation in images and videos has continuously played an important role in image processing, pattern recognition and machine vision. Despite having been studied for… (more)

Subjects/Keywords: Adaptive Support Weights; Background Suppression; Bilateral Filter; Gaussian Mixture Model; Image Segmentation; Video Segmentation

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APA (6th Edition):

Mukherjee, D. (2014). Enhancing the Potential of the Conventional Gaussian Mixture Model for Segmentation: from Images to Videos. (Doctoral Dissertation). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5260

Chicago Manual of Style (16th Edition):

Mukherjee, Dibyendu. “Enhancing the Potential of the Conventional Gaussian Mixture Model for Segmentation: from Images to Videos.” 2014. Doctoral Dissertation, University of Windsor. Accessed August 13, 2020. https://scholar.uwindsor.ca/etd/5260.

MLA Handbook (7th Edition):

Mukherjee, Dibyendu. “Enhancing the Potential of the Conventional Gaussian Mixture Model for Segmentation: from Images to Videos.” 2014. Web. 13 Aug 2020.

Vancouver:

Mukherjee D. Enhancing the Potential of the Conventional Gaussian Mixture Model for Segmentation: from Images to Videos. [Internet] [Doctoral dissertation]. University of Windsor; 2014. [cited 2020 Aug 13]. Available from: https://scholar.uwindsor.ca/etd/5260.

Council of Science Editors:

Mukherjee D. Enhancing the Potential of the Conventional Gaussian Mixture Model for Segmentation: from Images to Videos. [Doctoral Dissertation]. University of Windsor; 2014. Available from: https://scholar.uwindsor.ca/etd/5260


Universidade do Rio Grande do Sul

14. Silva, Luciano Silva da. Segmentação de movimento coerente aplicada à codificação de vídeos baseada em objetos.

Degree: 2011, Universidade do Rio Grande do Sul

A variedade de dispositivos eletrônicos capazes de gravar e reproduzir vídeos digitais vem crescendo rapidamente, aumentando com isso a disponibilidade deste tipo de informação nas… (more)

Subjects/Keywords: Computação gráfica; Video segmentation; Motion segmentation; Visao computacional; Processamento : Imagem; Video coding; Object-based coding; Progressive coding

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APA (6th Edition):

Silva, L. S. d. (2011). Segmentação de movimento coerente aplicada à codificação de vídeos baseada em objetos. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/39108

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):

Silva, Luciano Silva da. “Segmentação de movimento coerente aplicada à codificação de vídeos baseada em objetos.” 2011. Thesis, Universidade do Rio Grande do Sul. Accessed August 13, 2020. http://hdl.handle.net/10183/39108.

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

MLA Handbook (7th Edition):

Silva, Luciano Silva da. “Segmentação de movimento coerente aplicada à codificação de vídeos baseada em objetos.” 2011. Web. 13 Aug 2020.

Vancouver:

Silva LSd. Segmentação de movimento coerente aplicada à codificação de vídeos baseada em objetos. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2011. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10183/39108.

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

Council of Science Editors:

Silva LSd. Segmentação de movimento coerente aplicada à codificação de vídeos baseada em objetos. [Thesis]. Universidade do Rio Grande do Sul; 2011. Available from: http://hdl.handle.net/10183/39108

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


University of Arizona

15. Lin, Ming. Automated Lecture Video Segmentation: Facilitate Content Browsing and Retrieval .

Degree: 2006, University of Arizona

 People often have difficulties finding specific information in video because of its linear and unstructured nature. Segmenting long videos into small clips by topics and… (more)

Subjects/Keywords: Video segmentation; lecture video; dynamic segmentation; e-learning

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APA (6th Edition):

Lin, M. (2006). Automated Lecture Video Segmentation: Facilitate Content Browsing and Retrieval . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/193843

Chicago Manual of Style (16th Edition):

Lin, Ming. “Automated Lecture Video Segmentation: Facilitate Content Browsing and Retrieval .” 2006. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/193843.

MLA Handbook (7th Edition):

Lin, Ming. “Automated Lecture Video Segmentation: Facilitate Content Browsing and Retrieval .” 2006. Web. 13 Aug 2020.

Vancouver:

Lin M. Automated Lecture Video Segmentation: Facilitate Content Browsing and Retrieval . [Internet] [Doctoral dissertation]. University of Arizona; 2006. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/193843.

Council of Science Editors:

Lin M. Automated Lecture Video Segmentation: Facilitate Content Browsing and Retrieval . [Doctoral Dissertation]. University of Arizona; 2006. Available from: http://hdl.handle.net/10150/193843

16. Coimbra, Danilo Barbosa. Segmentação de cenas em telejornais: uma abordagem multimodal.

Degree: Mestrado, Ciências de Computação e Matemática Computacional, 2011, University of São Paulo

Este trabalho tem como objetivo desenvolver um método de segmentação de cenas em vídeos digitais que trate segmentos semânticamente complexos. Como prova de conceito, é… (more)

Subjects/Keywords: Multimodal scene segmentation; Multimodal video segmentation; Segmentação de cena multimodal; Segmentação de vídeo multimodal; Segmentaçãop semântica; Semantic segmentation

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

APA (6th Edition):

Coimbra, D. B. (2011). Segmentação de cenas em telejornais: uma abordagem multimodal. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28062011-103714/ ;

Chicago Manual of Style (16th Edition):

Coimbra, Danilo Barbosa. “Segmentação de cenas em telejornais: uma abordagem multimodal.” 2011. Masters Thesis, University of São Paulo. Accessed August 13, 2020. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28062011-103714/ ;.

MLA Handbook (7th Edition):

Coimbra, Danilo Barbosa. “Segmentação de cenas em telejornais: uma abordagem multimodal.” 2011. Web. 13 Aug 2020.

Vancouver:

Coimbra DB. Segmentação de cenas em telejornais: uma abordagem multimodal. [Internet] [Masters thesis]. University of São Paulo; 2011. [cited 2020 Aug 13]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28062011-103714/ ;.

Council of Science Editors:

Coimbra DB. Segmentação de cenas em telejornais: uma abordagem multimodal. [Masters Thesis]. University of São Paulo; 2011. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28062011-103714/ ;


Universidade do Rio Grande do Sul

17. Monma, Yumi. Algoritmo rápido para segmentação de vídeos utilizando agrupamento de clusters.

Degree: 2014, Universidade do Rio Grande do Sul

Este trabalho propõe um algoritmo rápido para segmentação de partes móveis em vídeo, tendo como base a detecção de volumes fechados no espaço tridimensional. O… (more)

Subjects/Keywords: Digital signal processing; Processamento digital de sinais; Video segmentation; Algoritmos; Processamento de imagens; Movement-based segmentation; Object-based segmentation; Ensemble clustering

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

APA (6th Edition):

Monma, Y. (2014). Algoritmo rápido para segmentação de vídeos utilizando agrupamento de clusters. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/116648

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):

Monma, Yumi. “Algoritmo rápido para segmentação de vídeos utilizando agrupamento de clusters.” 2014. Thesis, Universidade do Rio Grande do Sul. Accessed August 13, 2020. http://hdl.handle.net/10183/116648.

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

MLA Handbook (7th Edition):

Monma, Yumi. “Algoritmo rápido para segmentação de vídeos utilizando agrupamento de clusters.” 2014. Web. 13 Aug 2020.

Vancouver:

Monma Y. Algoritmo rápido para segmentação de vídeos utilizando agrupamento de clusters. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2014. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10183/116648.

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

Council of Science Editors:

Monma Y. Algoritmo rápido para segmentação de vídeos utilizando agrupamento de clusters. [Thesis]. Universidade do Rio Grande do Sul; 2014. Available from: http://hdl.handle.net/10183/116648

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


Universidade do Rio Grande do Norte

18. Oliveira, Lucas de Melo. Segmentação fuzzy de imagens e vídeos .

Degree: 2007, Universidade do Rio Grande do Norte

 Image segmentation is the process of subdiving an image into constituent regions or objects that have similar features. In video segmentation, more than subdividing the… (more)

Subjects/Keywords: Segmentação Fuzzy; Fluxo óptico; Processamento de imagens; Processamento de vídeos; Fuzzy segmentation; Optic flow; Image processing,; Video segmentation; Image segmentation

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

APA (6th Edition):

Oliveira, L. d. M. (2007). Segmentação fuzzy de imagens e vídeos . (Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/18117

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):

Oliveira, Lucas de Melo. “Segmentação fuzzy de imagens e vídeos .” 2007. Thesis, Universidade do Rio Grande do Norte. Accessed August 13, 2020. http://repositorio.ufrn.br/handle/123456789/18117.

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

MLA Handbook (7th Edition):

Oliveira, Lucas de Melo. “Segmentação fuzzy de imagens e vídeos .” 2007. Web. 13 Aug 2020.

Vancouver:

Oliveira LdM. Segmentação fuzzy de imagens e vídeos . [Internet] [Thesis]. Universidade do Rio Grande do Norte; 2007. [cited 2020 Aug 13]. Available from: http://repositorio.ufrn.br/handle/123456789/18117.

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

Council of Science Editors:

Oliveira LdM. Segmentação fuzzy de imagens e vídeos . [Thesis]. Universidade do Rio Grande do Norte; 2007. Available from: http://repositorio.ufrn.br/handle/123456789/18117

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


Addis Ababa University

19. Eneyachew, Tamir. AUTOMATIC SEMANTIC VIDEO OBJECT SEGMENTATION .

Degree: 2008, Addis Ababa University

 Content-based video processing is one of the methods considered to meet the demands of newly emerging multimedia applications. For content-based processing, video has to be… (more)

Subjects/Keywords: content-based video processing; automatic segmentation; semantic video objects; change detection; motion estimation; post-processing

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

APA (6th Edition):

Eneyachew, T. (2008). AUTOMATIC SEMANTIC VIDEO OBJECT SEGMENTATION . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/4435

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):

Eneyachew, Tamir. “AUTOMATIC SEMANTIC VIDEO OBJECT SEGMENTATION .” 2008. Thesis, Addis Ababa University. Accessed August 13, 2020. http://etd.aau.edu.et/dspace/handle/123456789/4435.

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

MLA Handbook (7th Edition):

Eneyachew, Tamir. “AUTOMATIC SEMANTIC VIDEO OBJECT SEGMENTATION .” 2008. Web. 13 Aug 2020.

Vancouver:

Eneyachew T. AUTOMATIC SEMANTIC VIDEO OBJECT SEGMENTATION . [Internet] [Thesis]. Addis Ababa University; 2008. [cited 2020 Aug 13]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/4435.

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

Council of Science Editors:

Eneyachew T. AUTOMATIC SEMANTIC VIDEO OBJECT SEGMENTATION . [Thesis]. Addis Ababa University; 2008. Available from: http://etd.aau.edu.et/dspace/handle/123456789/4435

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


Queensland University of Technology

20. Sasongko, Johannes. Automatic generation of effective video summaries.

Degree: 2011, Queensland University of Technology

 As the popularity of video as an information medium rises, the amount of video content that we produce and archive keeps growing. This creates a… (more)

Subjects/Keywords: key frame; multimedia information retrieval; scene segmentation; shotboundary detection; video summarisation; video tagging

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

APA (6th Edition):

Sasongko, J. (2011). Automatic generation of effective video summaries. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/45473/

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):

Sasongko, Johannes. “Automatic generation of effective video summaries.” 2011. Thesis, Queensland University of Technology. Accessed August 13, 2020. https://eprints.qut.edu.au/45473/.

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

MLA Handbook (7th Edition):

Sasongko, Johannes. “Automatic generation of effective video summaries.” 2011. Web. 13 Aug 2020.

Vancouver:

Sasongko J. Automatic generation of effective video summaries. [Internet] [Thesis]. Queensland University of Technology; 2011. [cited 2020 Aug 13]. Available from: https://eprints.qut.edu.au/45473/.

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

Council of Science Editors:

Sasongko J. Automatic generation of effective video summaries. [Thesis]. Queensland University of Technology; 2011. Available from: https://eprints.qut.edu.au/45473/

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


University of Michigan

21. Xu, Chenliang. Scale-Adaptive Video Understanding.

Degree: PhD, Computer Science and Engineering, 2016, University of Michigan

 The recent rise of large-scale, diverse video data has urged a new era of high-level video understanding. It is increasingly critical for intelligent systems to… (more)

Subjects/Keywords: Computer Vision; Video Understanding; Supervoxel Hierarchies; Scale Generation; Scale Selection; Video Segmentation; Computer Science; Engineering

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

APA (6th Edition):

Xu, C. (2016). Scale-Adaptive Video Understanding. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133202

Chicago Manual of Style (16th Edition):

Xu, Chenliang. “Scale-Adaptive Video Understanding.” 2016. Doctoral Dissertation, University of Michigan. Accessed August 13, 2020. http://hdl.handle.net/2027.42/133202.

MLA Handbook (7th Edition):

Xu, Chenliang. “Scale-Adaptive Video Understanding.” 2016. Web. 13 Aug 2020.

Vancouver:

Xu C. Scale-Adaptive Video Understanding. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2027.42/133202.

Council of Science Editors:

Xu C. Scale-Adaptive Video Understanding. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133202


Brno University of Technology

22. Vomela, Miroslav. Klasifikace dopravní scény: Traffic image sequence classification.

Degree: 2019, Brno University of Technology

 The article introduces a general survey of concepts used in traffic monitoring applications. It describes different approaches for solving particular steps of vehicle detection process.… (more)

Subjects/Keywords: Detekce vozidel; monitorování provozu; video analýza; segmentace; Vehicle detection; traffic monitoring; video analysis; segmentation

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

APA (6th Edition):

Vomela, M. (2019). Klasifikace dopravní scény: Traffic image sequence classification. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/15595

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):

Vomela, Miroslav. “Klasifikace dopravní scény: Traffic image sequence classification.” 2019. Thesis, Brno University of Technology. Accessed August 13, 2020. http://hdl.handle.net/11012/15595.

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

MLA Handbook (7th Edition):

Vomela, Miroslav. “Klasifikace dopravní scény: Traffic image sequence classification.” 2019. Web. 13 Aug 2020.

Vancouver:

Vomela M. Klasifikace dopravní scény: Traffic image sequence classification. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/11012/15595.

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

Council of Science Editors:

Vomela M. Klasifikace dopravní scény: Traffic image sequence classification. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/15595

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

23. GAIKWAD, BHARATRATNA P. VIDEO SCENE SEGMENTATION TO SEPARATE SCRIPT;.

Degree: 2015, Dr. Babasaheb Ambedkar Marathwada University

newline

Advisors/Committee Members: MANZA, RAMESH R..

Subjects/Keywords: VIDEO SCENE; SEGMENTATION; SCRIPT

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

APA (6th Edition):

GAIKWAD, B. P. (2015). VIDEO SCENE SEGMENTATION TO SEPARATE SCRIPT;. (Thesis). Dr. Babasaheb Ambedkar Marathwada University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/54408

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):

GAIKWAD, BHARATRATNA P. “VIDEO SCENE SEGMENTATION TO SEPARATE SCRIPT;.” 2015. Thesis, Dr. Babasaheb Ambedkar Marathwada University. Accessed August 13, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/54408.

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

MLA Handbook (7th Edition):

GAIKWAD, BHARATRATNA P. “VIDEO SCENE SEGMENTATION TO SEPARATE SCRIPT;.” 2015. Web. 13 Aug 2020.

Vancouver:

GAIKWAD BP. VIDEO SCENE SEGMENTATION TO SEPARATE SCRIPT;. [Internet] [Thesis]. Dr. Babasaheb Ambedkar Marathwada University; 2015. [cited 2020 Aug 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/54408.

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

Council of Science Editors:

GAIKWAD BP. VIDEO SCENE SEGMENTATION TO SEPARATE SCRIPT;. [Thesis]. Dr. Babasaheb Ambedkar Marathwada University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/54408

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


University of Pennsylvania

24. Fragkiadaki, Aikaterini. Multigranularity Representations for Human Inter-Actions: Pose, Motion and Intention.

Degree: 2013, University of Pennsylvania

 Tracking people and their body pose in videos is a central problem in computer vision. Standard tracking representations reason about temporal coherence of detected people… (more)

Subjects/Keywords: perceptual organization; pose estimation; tracking; video segmentation; Computer Sciences; Robotics

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

APA (6th Edition):

Fragkiadaki, A. (2013). Multigranularity Representations for Human Inter-Actions: Pose, Motion and Intention. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/859

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):

Fragkiadaki, Aikaterini. “Multigranularity Representations for Human Inter-Actions: Pose, Motion and Intention.” 2013. Thesis, University of Pennsylvania. Accessed August 13, 2020. https://repository.upenn.edu/edissertations/859.

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

MLA Handbook (7th Edition):

Fragkiadaki, Aikaterini. “Multigranularity Representations for Human Inter-Actions: Pose, Motion and Intention.” 2013. Web. 13 Aug 2020.

Vancouver:

Fragkiadaki A. Multigranularity Representations for Human Inter-Actions: Pose, Motion and Intention. [Internet] [Thesis]. University of Pennsylvania; 2013. [cited 2020 Aug 13]. Available from: https://repository.upenn.edu/edissertations/859.

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

Council of Science Editors:

Fragkiadaki A. Multigranularity Representations for Human Inter-Actions: Pose, Motion and Intention. [Thesis]. University of Pennsylvania; 2013. Available from: https://repository.upenn.edu/edissertations/859

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


NSYSU

25. Chen, Shang-Yi. Automatic Derivation of Motion Platform Control Parameters from Video.

Degree: Master, Computer Science and Engineering, 2015, NSYSU

 Virtual reality, coupled with motion platform, provides immersive experience to the users. The video played has to be synchronized seamlessly with the movement of the… (more)

Subjects/Keywords: motion platform; video segmentation; virtual reality; motion platform control parameters

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

APA (6th Edition):

Chen, S. (2015). Automatic Derivation of Motion Platform Control Parameters from Video. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1124114-165835

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):

Chen, Shang-Yi. “Automatic Derivation of Motion Platform Control Parameters from Video.” 2015. Thesis, NSYSU. Accessed August 13, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1124114-165835.

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

MLA Handbook (7th Edition):

Chen, Shang-Yi. “Automatic Derivation of Motion Platform Control Parameters from Video.” 2015. Web. 13 Aug 2020.

Vancouver:

Chen S. Automatic Derivation of Motion Platform Control Parameters from Video. [Internet] [Thesis]. NSYSU; 2015. [cited 2020 Aug 13]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1124114-165835.

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

Council of Science Editors:

Chen S. Automatic Derivation of Motion Platform Control Parameters from Video. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1124114-165835

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


Universiteit Utrecht

26. Deiman, J. Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality.

Degree: 2016, Universiteit Utrecht

 The Netherlands Aerospace Centre (NLR) has a virtual reality setup which allows users to experience an airplane fly-over with realistically simulated sound. They want to… (more)

Subjects/Keywords: object detection; object tracking; object segmentation; inpainting; virtual reality; panoramic video

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

APA (6th Edition):

Deiman, J. (2016). Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/334268

Chicago Manual of Style (16th Edition):

Deiman, J. “Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality.” 2016. Masters Thesis, Universiteit Utrecht. Accessed August 13, 2020. http://dspace.library.uu.nl:8080/handle/1874/334268.

MLA Handbook (7th Edition):

Deiman, J. “Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality.” 2016. Web. 13 Aug 2020.

Vancouver:

Deiman J. Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality. [Internet] [Masters thesis]. Universiteit Utrecht; 2016. [cited 2020 Aug 13]. Available from: http://dspace.library.uu.nl:8080/handle/1874/334268.

Council of Science Editors:

Deiman J. Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality. [Masters Thesis]. Universiteit Utrecht; 2016. Available from: http://dspace.library.uu.nl:8080/handle/1874/334268


University of Houston

27. Tuna, Tayfun 1981-. Automated Lecture Video Indexing With Text Analysis and Machine Learning.

Degree: PhD, Computer Science, 2015, University of Houston

 Videos recorded during in-class teaching and made accessible online are a versatile resource on par with a textbook and the classroom itself. Nonetheless, the adoption… (more)

Subjects/Keywords: Lecture videos; Topic-based Segmentation; Video Indexing; Machine learning

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

APA (6th Edition):

Tuna, T. 1. (2015). Automated Lecture Video Indexing With Text Analysis and Machine Learning. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/1772

Chicago Manual of Style (16th Edition):

Tuna, Tayfun 1981-. “Automated Lecture Video Indexing With Text Analysis and Machine Learning.” 2015. Doctoral Dissertation, University of Houston. Accessed August 13, 2020. http://hdl.handle.net/10657/1772.

MLA Handbook (7th Edition):

Tuna, Tayfun 1981-. “Automated Lecture Video Indexing With Text Analysis and Machine Learning.” 2015. Web. 13 Aug 2020.

Vancouver:

Tuna T1. Automated Lecture Video Indexing With Text Analysis and Machine Learning. [Internet] [Doctoral dissertation]. University of Houston; 2015. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10657/1772.

Council of Science Editors:

Tuna T1. Automated Lecture Video Indexing With Text Analysis and Machine Learning. [Doctoral Dissertation]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/1772


George Mason University

28. Sun, Hao. Motion Comparison and Tactic Analysis in Sports Training .

Degree: 2014, George Mason University

There are two important subjects in competitive sports training, namely the athlete (student athlete)'s individual mechanics training and the team's tactics training. Advisors/Committee Members: Chen, Jim X (advisor).

Subjects/Keywords: Computer science; Motion comparison; Sports training; Sports video segmentation; Tactic analysis

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

APA (6th Edition):

Sun, H. (2014). Motion Comparison and Tactic Analysis in Sports Training . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/9199

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):

Sun, Hao. “Motion Comparison and Tactic Analysis in Sports Training .” 2014. Thesis, George Mason University. Accessed August 13, 2020. http://hdl.handle.net/1920/9199.

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

MLA Handbook (7th Edition):

Sun, Hao. “Motion Comparison and Tactic Analysis in Sports Training .” 2014. Web. 13 Aug 2020.

Vancouver:

Sun H. Motion Comparison and Tactic Analysis in Sports Training . [Internet] [Thesis]. George Mason University; 2014. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1920/9199.

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

Council of Science Editors:

Sun H. Motion Comparison and Tactic Analysis in Sports Training . [Thesis]. George Mason University; 2014. Available from: http://hdl.handle.net/1920/9199

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


University of Iowa

29. Stobaugh, John David. Novel use of video and image analysis in a video compression system.

Degree: MS, Electrical and Computer Engineering, 2015, University of Iowa

  As consumer demand for higher quality video at lower bit-rate increases, so does the need for more sophisticated methods of compressing videos into manageable… (more)

Subjects/Keywords: publicabstract; encoding; hevc; segmentation; transcoding; video; Electrical and Computer Engineering

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

APA (6th Edition):

Stobaugh, J. D. (2015). Novel use of video and image analysis in a video compression system. (Masters Thesis). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/1766

Chicago Manual of Style (16th Edition):

Stobaugh, John David. “Novel use of video and image analysis in a video compression system.” 2015. Masters Thesis, University of Iowa. Accessed August 13, 2020. https://ir.uiowa.edu/etd/1766.

MLA Handbook (7th Edition):

Stobaugh, John David. “Novel use of video and image analysis in a video compression system.” 2015. Web. 13 Aug 2020.

Vancouver:

Stobaugh JD. Novel use of video and image analysis in a video compression system. [Internet] [Masters thesis]. University of Iowa; 2015. [cited 2020 Aug 13]. Available from: https://ir.uiowa.edu/etd/1766.

Council of Science Editors:

Stobaugh JD. Novel use of video and image analysis in a video compression system. [Masters Thesis]. University of Iowa; 2015. Available from: https://ir.uiowa.edu/etd/1766


KTH

30. Kohlberg, Marcus. Advertising product improvement opportunities using segmentation in Video-on-Demand services : A case study of MTG’s opportunities in the shift from television to streaming video.

Degree: Industrial marketing, 2014, KTH

  More and more people choose to watch television online through online video-on- demand services. For media corporations, such as the Modern Times Group (MTG),… (more)

Subjects/Keywords: Video-on-demand; ad avoidance; segmentation; self-segmentation; contextual segmentation; advertising products; signal strength; ad engagement; video-on-demand; play tjänster; segmentering; självsegmentering; kontextuell segmentering; signalstyrka

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APA (6th Edition):

Kohlberg, M. (2014). Advertising product improvement opportunities using segmentation in Video-on-Demand services : A case study of MTG’s opportunities in the shift from television to streaming video. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146893

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):

Kohlberg, Marcus. “Advertising product improvement opportunities using segmentation in Video-on-Demand services : A case study of MTG’s opportunities in the shift from television to streaming video.” 2014. Thesis, KTH. Accessed August 13, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146893.

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

MLA Handbook (7th Edition):

Kohlberg, Marcus. “Advertising product improvement opportunities using segmentation in Video-on-Demand services : A case study of MTG’s opportunities in the shift from television to streaming video.” 2014. Web. 13 Aug 2020.

Vancouver:

Kohlberg M. Advertising product improvement opportunities using segmentation in Video-on-Demand services : A case study of MTG’s opportunities in the shift from television to streaming video. [Internet] [Thesis]. KTH; 2014. [cited 2020 Aug 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146893.

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

Council of Science Editors:

Kohlberg M. Advertising product improvement opportunities using segmentation in Video-on-Demand services : A case study of MTG’s opportunities in the shift from television to streaming video. [Thesis]. KTH; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146893

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

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