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You searched for subject:(Image AND video segmentation). Showing records 1 – 30 of 532 total matches.

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1. 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 14, 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. 14 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 14]. 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


Brigham Young University

2. 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 14, 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. 14 Aug 2020.

Vancouver:

Price BL. Interactive Object Selection and Matting for Video and Images. [Internet] [Doctoral dissertation]. Brigham Young University; 2010. [cited 2020 Aug 14]. 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 Southern California

3. 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 14, 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. 14 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 14]. 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


University of Illinois – Urbana-Champaign

4. 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 14, 2020. http://hdl.handle.net/2142/99515.

MLA Handbook (7th Edition):

Xu, Ning. “Image and video object selection.” 2017. Web. 14 Aug 2020.

Vancouver:

Xu N. Image and video object selection. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Aug 14]. 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


University of Texas – Austin

5. 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 14, 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. 14 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 14]. 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


Universidade do Rio Grande do Norte

6. 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 (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 14, 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. 14 Aug 2020.

Vancouver:

Oliveira LdM. Segmentação fuzzy de imagens e vídeos . [Internet] [Thesis]. Universidade do Rio Grande do Norte; 2007. [cited 2020 Aug 14]. 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


University of Windsor

7. 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 14, 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. 14 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 14]. 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

8. Thonat, Théo. Complétion d'image, segmentation et mixture de vidéos dans un contexte multi-vue, pour un rendu basé image plus polyvalent : Multi-view inpainting, segmentation and video blending, for more versatile Image Based Rendering.

Degree: Docteur es, Informatique, 2019, Université Côte d'Azur (ComUE)

 La création d'images réalistes avec le processus classique de rendu demande un travail manuel considérable, de la génération de modèles 3D à la gestion de… (more)

Subjects/Keywords: Rendu Basé Image; Multi-vue; Inpainting; Segmentation; Vidéos; Image Based Rendering; Multi-view; Inpainting; Segmentation; Video

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APA (6th Edition):

Thonat, T. (2019). Complétion d'image, segmentation et mixture de vidéos dans un contexte multi-vue, pour un rendu basé image plus polyvalent : Multi-view inpainting, segmentation and video blending, for more versatile Image Based Rendering. (Doctoral Dissertation). Université Côte d'Azur (ComUE). Retrieved from http://www.theses.fr/2019AZUR4047

Chicago Manual of Style (16th Edition):

Thonat, Théo. “Complétion d'image, segmentation et mixture de vidéos dans un contexte multi-vue, pour un rendu basé image plus polyvalent : Multi-view inpainting, segmentation and video blending, for more versatile Image Based Rendering.” 2019. Doctoral Dissertation, Université Côte d'Azur (ComUE). Accessed August 14, 2020. http://www.theses.fr/2019AZUR4047.

MLA Handbook (7th Edition):

Thonat, Théo. “Complétion d'image, segmentation et mixture de vidéos dans un contexte multi-vue, pour un rendu basé image plus polyvalent : Multi-view inpainting, segmentation and video blending, for more versatile Image Based Rendering.” 2019. Web. 14 Aug 2020.

Vancouver:

Thonat T. Complétion d'image, segmentation et mixture de vidéos dans un contexte multi-vue, pour un rendu basé image plus polyvalent : Multi-view inpainting, segmentation and video blending, for more versatile Image Based Rendering. [Internet] [Doctoral dissertation]. Université Côte d'Azur (ComUE); 2019. [cited 2020 Aug 14]. Available from: http://www.theses.fr/2019AZUR4047.

Council of Science Editors:

Thonat T. Complétion d'image, segmentation et mixture de vidéos dans un contexte multi-vue, pour un rendu basé image plus polyvalent : Multi-view inpainting, segmentation and video blending, for more versatile Image Based Rendering. [Doctoral Dissertation]. Université Côte d'Azur (ComUE); 2019. Available from: http://www.theses.fr/2019AZUR4047


Purdue University

9. Gadgil, Neeraj Jayant. Error Resilient Video Coding Using Bitstream Syntax And Iterative Microscopy Image Segmentation.

Degree: PhD, Electrical Engineering, 2016, Purdue University

  There has been a dramatic increase in the amount of video traffic over the Internet in past several years. For applications like real-time video(more)

Subjects/Keywords: Applied sciences; Digital signal processing; Image processing; Image segmentation; Video compression; Video processing; Electrical and Computer Engineering

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APA (6th Edition):

Gadgil, N. J. (2016). Error Resilient Video Coding Using Bitstream Syntax And Iterative Microscopy Image Segmentation. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/757

Chicago Manual of Style (16th Edition):

Gadgil, Neeraj Jayant. “Error Resilient Video Coding Using Bitstream Syntax And Iterative Microscopy Image Segmentation.” 2016. Doctoral Dissertation, Purdue University. Accessed August 14, 2020. https://docs.lib.purdue.edu/open_access_dissertations/757.

MLA Handbook (7th Edition):

Gadgil, Neeraj Jayant. “Error Resilient Video Coding Using Bitstream Syntax And Iterative Microscopy Image Segmentation.” 2016. Web. 14 Aug 2020.

Vancouver:

Gadgil NJ. Error Resilient Video Coding Using Bitstream Syntax And Iterative Microscopy Image Segmentation. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2020 Aug 14]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/757.

Council of Science Editors:

Gadgil NJ. Error Resilient Video Coding Using Bitstream Syntax And Iterative Microscopy Image Segmentation. [Doctoral Dissertation]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_dissertations/757

10. Migniot, Cyrille. Segmentation de personnes dans les images et les vidéos : Human segmentation in images and videos.

Degree: Docteur es, Sciences et technologie industrielles, 2012, Université de Grenoble

La segmentation de personnes dans les images et les vidéos est une problématique actuellement au coeur de nombreux travaux. Nous nous intéressons à la segmentation(more)

Subjects/Keywords: Detection; Segmentation; Personne; Image; Video; Detection; Segmentation; Human; Image; Video

…2.2 D´ etection et segmentation simultann´ ee . . . . . . . . 2.2.1 Par analyse de r´ egions… …2.2.5 Validation de la d´ etection par la segmentation 2.3 Conclusions… …3 Pr´ e-segmentation par recherche de segments de contour 3.1 Objectifs… …partir de la pr´ e-segmentation 4.1 Utilisation des segments de contour pour la segmentation… …utilisant des ´ el´ ements du contour pour la segmentation . 4.2 Recherche de plus court chemin… 

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APA (6th Edition):

Migniot, C. (2012). Segmentation de personnes dans les images et les vidéos : Human segmentation in images and videos. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2012GRENT012

Chicago Manual of Style (16th Edition):

Migniot, Cyrille. “Segmentation de personnes dans les images et les vidéos : Human segmentation in images and videos.” 2012. Doctoral Dissertation, Université de Grenoble. Accessed August 14, 2020. http://www.theses.fr/2012GRENT012.

MLA Handbook (7th Edition):

Migniot, Cyrille. “Segmentation de personnes dans les images et les vidéos : Human segmentation in images and videos.” 2012. Web. 14 Aug 2020.

Vancouver:

Migniot C. Segmentation de personnes dans les images et les vidéos : Human segmentation in images and videos. [Internet] [Doctoral dissertation]. Université de Grenoble; 2012. [cited 2020 Aug 14]. Available from: http://www.theses.fr/2012GRENT012.

Council of Science Editors:

Migniot C. Segmentation de personnes dans les images et les vidéos : Human segmentation in images and videos. [Doctoral Dissertation]. Université de Grenoble; 2012. Available from: http://www.theses.fr/2012GRENT012

11. Lucas de Melo Oliveira. Segmentação fuzzy de imagens e vídeos.

Degree: 2007, Universidade Federal 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; CIENCIA DA COMPUTACAO; Fuzzy segmentation; Optic flow; Image processing,; Video segmentation; Image segmentation

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APA (6th Edition):

Oliveira, L. d. M. (2007). Segmentação fuzzy de imagens e vídeos. (Thesis). Universidade Federal do Rio Grande do Norte. Retrieved from http://bdtd.bczm.ufrn.br/tedesimplificado//tde_busca/arquivo.php?codArquivo=904

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 Federal do Rio Grande do Norte. Accessed August 14, 2020. http://bdtd.bczm.ufrn.br/tedesimplificado//tde_busca/arquivo.php?codArquivo=904.

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. 14 Aug 2020.

Vancouver:

Oliveira LdM. Segmentação fuzzy de imagens e vídeos. [Internet] [Thesis]. Universidade Federal do Rio Grande do Norte; 2007. [cited 2020 Aug 14]. Available from: http://bdtd.bczm.ufrn.br/tedesimplificado//tde_busca/arquivo.php?codArquivo=904.

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 Federal do Rio Grande do Norte; 2007. Available from: http://bdtd.bczm.ufrn.br/tedesimplificado//tde_busca/arquivo.php?codArquivo=904

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


University of California – Merced

12. Tsai, Yi-Hsuan. Semantic-guided Visual Analysis and Synthesis with Spatio-temporal Models.

Degree: Electrical Engineering and Computer Science, 2017, University of California – Merced

 Visual analysis is concerned with problems to identify object status or scene layout in images or videos. There are numerous concepts that are of great… (more)

Subjects/Keywords: Computer science; Image Editing; Spatial-temporal Model; Video Segmentation; VIsual Aanlysis; Visual Synthesis

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

APA (6th Edition):

Tsai, Y. (2017). Semantic-guided Visual Analysis and Synthesis with Spatio-temporal Models. (Thesis). University of California – Merced. Retrieved from http://www.escholarship.org/uc/item/8mt577z1

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):

Tsai, Yi-Hsuan. “Semantic-guided Visual Analysis and Synthesis with Spatio-temporal Models.” 2017. Thesis, University of California – Merced. Accessed August 14, 2020. http://www.escholarship.org/uc/item/8mt577z1.

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

MLA Handbook (7th Edition):

Tsai, Yi-Hsuan. “Semantic-guided Visual Analysis and Synthesis with Spatio-temporal Models.” 2017. Web. 14 Aug 2020.

Vancouver:

Tsai Y. Semantic-guided Visual Analysis and Synthesis with Spatio-temporal Models. [Internet] [Thesis]. University of California – Merced; 2017. [cited 2020 Aug 14]. Available from: http://www.escholarship.org/uc/item/8mt577z1.

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

Council of Science Editors:

Tsai Y. Semantic-guided Visual Analysis and Synthesis with Spatio-temporal Models. [Thesis]. University of California – Merced; 2017. Available from: http://www.escholarship.org/uc/item/8mt577z1

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


University of Melbourne

13. Zulkifley, Mohd Asyraf. Topics in robust video analytics.

Degree: 2011, University of Melbourne

 Robustness is one of the main challenges in building good algorithms for video analytics. The ability to maintain accuracy and precision of the algorithm to… (more)

Subjects/Keywords: image and video processing; single and multi-object tracking; foreground/background segmentation; mathematical modelling

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APA (6th Edition):

Zulkifley, M. A. (2011). Topics in robust video analytics. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/37350

Chicago Manual of Style (16th Edition):

Zulkifley, Mohd Asyraf. “Topics in robust video analytics.” 2011. Doctoral Dissertation, University of Melbourne. Accessed August 14, 2020. http://hdl.handle.net/11343/37350.

MLA Handbook (7th Edition):

Zulkifley, Mohd Asyraf. “Topics in robust video analytics.” 2011. Web. 14 Aug 2020.

Vancouver:

Zulkifley MA. Topics in robust video analytics. [Internet] [Doctoral dissertation]. University of Melbourne; 2011. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11343/37350.

Council of Science Editors:

Zulkifley MA. Topics in robust video analytics. [Doctoral Dissertation]. University of Melbourne; 2011. Available from: http://hdl.handle.net/11343/37350


Virginia Tech

14. Subramanian, Anbumani. Layer Extraction and Image Compositing using a Moving-aperture Lens.

Degree: PhD, Electrical and Computer Engineering, 2005, Virginia Tech

Image layers are two-dimensional planes, each comprised of objects extracted from a two-dimensional (2D) image of a scene. Multiple image layers together make up a… (more)

Subjects/Keywords: image segmentation; layer extraction; video matting; Image compositing

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APA (6th Edition):

Subramanian, A. (2005). Layer Extraction and Image Compositing using a Moving-aperture Lens. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28152

Chicago Manual of Style (16th Edition):

Subramanian, Anbumani. “Layer Extraction and Image Compositing using a Moving-aperture Lens.” 2005. Doctoral Dissertation, Virginia Tech. Accessed August 14, 2020. http://hdl.handle.net/10919/28152.

MLA Handbook (7th Edition):

Subramanian, Anbumani. “Layer Extraction and Image Compositing using a Moving-aperture Lens.” 2005. Web. 14 Aug 2020.

Vancouver:

Subramanian A. Layer Extraction and Image Compositing using a Moving-aperture Lens. [Internet] [Doctoral dissertation]. Virginia Tech; 2005. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10919/28152.

Council of Science Editors:

Subramanian A. Layer Extraction and Image Compositing using a Moving-aperture Lens. [Doctoral Dissertation]. Virginia Tech; 2005. Available from: http://hdl.handle.net/10919/28152


University of Illinois – Urbana-Champaign

15. Wen, Bihan. Transform learning based image and video processing.

Degree: MS, Electrical & Computer Engineering, 2015, University of Illinois – Urbana-Champaign

 In recent years, sparse signal modeling, especially using the synthesis dictionary model, has received much attention. Sparse coding in the synthesis model is, however, NP-hard.… (more)

Subjects/Keywords: Dictionary Learning; Transform Learning; Sparse Representation; Online Learning; Image Representation; Image Denoising; Video Denoising; Image Segmentation; Clustering; Machine Learning; Overcomplete Representation; Big Data; Inverse Problem

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APA (6th Edition):

Wen, B. (2015). Transform learning based image and video processing. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88970

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):

Wen, Bihan. “Transform learning based image and video processing.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed August 14, 2020. http://hdl.handle.net/2142/88970.

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

MLA Handbook (7th Edition):

Wen, Bihan. “Transform learning based image and video processing.” 2015. Web. 14 Aug 2020.

Vancouver:

Wen B. Transform learning based image and video processing. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/2142/88970.

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

Council of Science Editors:

Wen B. Transform learning based image and video processing. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88970

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


Brno University of Technology

16. Mlynarič, Tomáš. Hluboké neuronové sítě pro klasifikaci objektů v obraze: Deep Neural Networks for Classifying Objects in an Image.

Degree: 2019, Brno University of Technology

 This paper deals with classifying objects using deep neural networks. Whole scene segmentation was used as main algorithm for the classification purpose which works with… (more)

Subjects/Keywords: segmentace obrazu; monokulární kamera; hluboké neuronové sítě; video; optický tok; warping; Cityscapes; Keras; Tensorflow; image segmentation; monocular camera; deep neural networks; video; optical flow; warping; Cityscapes; Keras; Tensorflow

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

APA (6th Edition):

Mlynarič, T. (2019). Hluboké neuronové sítě pro klasifikaci objektů v obraze: Deep Neural Networks for Classifying Objects in an Image. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/84863

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):

Mlynarič, Tomáš. “Hluboké neuronové sítě pro klasifikaci objektů v obraze: Deep Neural Networks for Classifying Objects in an Image.” 2019. Thesis, Brno University of Technology. Accessed August 14, 2020. http://hdl.handle.net/11012/84863.

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

MLA Handbook (7th Edition):

Mlynarič, Tomáš. “Hluboké neuronové sítě pro klasifikaci objektů v obraze: Deep Neural Networks for Classifying Objects in an Image.” 2019. Web. 14 Aug 2020.

Vancouver:

Mlynarič T. Hluboké neuronové sítě pro klasifikaci objektů v obraze: Deep Neural Networks for Classifying Objects in an Image. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11012/84863.

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

Council of Science Editors:

Mlynarič T. Hluboké neuronové sítě pro klasifikaci objektů v obraze: Deep Neural Networks for Classifying Objects in an Image. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/84863

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

17. LIN KAIMO. VISUAL STITCHING UNDER CHALLENGING CONDITIONS.

Degree: 2017, National University of Singapore

Subjects/Keywords: image stitching; panorama stitching; video stitching; video stabilization; motion segmentation; background identification

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APA (6th Edition):

KAIMO, L. (2017). VISUAL STITCHING UNDER CHALLENGING CONDITIONS. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/137751

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):

KAIMO, LIN. “VISUAL STITCHING UNDER CHALLENGING CONDITIONS.” 2017. Thesis, National University of Singapore. Accessed August 14, 2020. http://scholarbank.nus.edu.sg/handle/10635/137751.

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

MLA Handbook (7th Edition):

KAIMO, LIN. “VISUAL STITCHING UNDER CHALLENGING CONDITIONS.” 2017. Web. 14 Aug 2020.

Vancouver:

KAIMO L. VISUAL STITCHING UNDER CHALLENGING CONDITIONS. [Internet] [Thesis]. National University of Singapore; 2017. [cited 2020 Aug 14]. Available from: http://scholarbank.nus.edu.sg/handle/10635/137751.

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

Council of Science Editors:

KAIMO L. VISUAL STITCHING UNDER CHALLENGING CONDITIONS. [Thesis]. National University of Singapore; 2017. Available from: http://scholarbank.nus.edu.sg/handle/10635/137751

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


Brno University of Technology

18. Libiš, Zdeněk. Sledování objektu ve videosekvencích: Object tracking in video sequences.

Degree: 2018, Brno University of Technology

 This thesis deals with object tracking in video sequence. It focuses on studying of one object´s motion in static background. Motion is defined by its… (more)

Subjects/Keywords: Video sekvence; pohyb objektu; segmentace obrazu; měření rychlosti; kumulovaný rozdílový snímek.; Video sequence; object´s motion; segmentation of picture; speed measuring; accumulative difference image.

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

APA (6th Edition):

Libiš, Z. (2018). Sledování objektu ve videosekvencích: Object tracking in video sequences. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/4199

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):

Libiš, Zdeněk. “Sledování objektu ve videosekvencích: Object tracking in video sequences.” 2018. Thesis, Brno University of Technology. Accessed August 14, 2020. http://hdl.handle.net/11012/4199.

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

MLA Handbook (7th Edition):

Libiš, Zdeněk. “Sledování objektu ve videosekvencích: Object tracking in video sequences.” 2018. Web. 14 Aug 2020.

Vancouver:

Libiš Z. Sledování objektu ve videosekvencích: Object tracking in video sequences. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11012/4199.

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

Council of Science Editors:

Libiš Z. Sledování objektu ve videosekvencích: Object tracking in video sequences. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/4199

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

19. Santos, Tiago Souza dos. Segmentação Fuzzy de Texturas e Vídeos .

Degree: 2012, Universidade do Rio Grande do Norte

 The segmentation of an image aims to subdivide it into constituent regions or objects that have some relevant semantic content. This subdivision can also be… (more)

Subjects/Keywords: Segmentação de imagens. Segmentação de texturas. Segmentação de vídeos. Segmentação fuzzy. Modelos de cores. Divergência skew. Divergência de Kullback-Leibler; Image segmentation. Texture segmentation. Video segmentation. Fuzzy segmentation. Color model. Skew Divergence. Kullback-Leibler Divergence

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APA (6th Edition):

Santos, T. S. d. (2012). Segmentação Fuzzy de Texturas e Vídeos . (Masters Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/18063

Chicago Manual of Style (16th Edition):

Santos, Tiago Souza dos. “Segmentação Fuzzy de Texturas e Vídeos .” 2012. Masters Thesis, Universidade do Rio Grande do Norte. Accessed August 14, 2020. http://repositorio.ufrn.br/handle/123456789/18063.

MLA Handbook (7th Edition):

Santos, Tiago Souza dos. “Segmentação Fuzzy de Texturas e Vídeos .” 2012. Web. 14 Aug 2020.

Vancouver:

Santos TSd. Segmentação Fuzzy de Texturas e Vídeos . [Internet] [Masters thesis]. Universidade do Rio Grande do Norte; 2012. [cited 2020 Aug 14]. Available from: http://repositorio.ufrn.br/handle/123456789/18063.

Council of Science Editors:

Santos TSd. Segmentação Fuzzy de Texturas e Vídeos . [Masters Thesis]. Universidade do Rio Grande do Norte; 2012. Available from: http://repositorio.ufrn.br/handle/123456789/18063


Universidade do Rio Grande do Norte

20. Santos, Tiago Souza dos. Segmentação Fuzzy de Texturas e Vídeos .

Degree: 2012, Universidade do Rio Grande do Norte

 The segmentation of an image aims to subdivide it into constituent regions or objects that have some relevant semantic content. This subdivision can also be… (more)

Subjects/Keywords: Segmentação de imagens. Segmentação de texturas. Segmentação de vídeos. Segmentação fuzzy. Modelos de cores. Divergência skew. Divergência de Kullback-Leibler; Image segmentation. Texture segmentation. Video segmentation. Fuzzy segmentation. Color model. Skew Divergence. Kullback-Leibler Divergence

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

APA (6th Edition):

Santos, T. S. d. (2012). Segmentação Fuzzy de Texturas e Vídeos . (Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/18063

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):

Santos, Tiago Souza dos. “Segmentação Fuzzy de Texturas e Vídeos .” 2012. Thesis, Universidade do Rio Grande do Norte. Accessed August 14, 2020. http://repositorio.ufrn.br/handle/123456789/18063.

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

MLA Handbook (7th Edition):

Santos, Tiago Souza dos. “Segmentação Fuzzy de Texturas e Vídeos .” 2012. Web. 14 Aug 2020.

Vancouver:

Santos TSd. Segmentação Fuzzy de Texturas e Vídeos . [Internet] [Thesis]. Universidade do Rio Grande do Norte; 2012. [cited 2020 Aug 14]. Available from: http://repositorio.ufrn.br/handle/123456789/18063.

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

Council of Science Editors:

Santos TSd. Segmentação Fuzzy de Texturas e Vídeos . [Thesis]. Universidade do Rio Grande do Norte; 2012. Available from: http://repositorio.ufrn.br/handle/123456789/18063

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

21. 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 . (Masters Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/18117

Chicago Manual of Style (16th Edition):

Oliveira, Lucas de Melo. “Segmentação fuzzy de imagens e vídeos .” 2007. Masters Thesis, Universidade do Rio Grande do Norte. Accessed August 14, 2020. http://repositorio.ufrn.br/handle/123456789/18117.

MLA Handbook (7th Edition):

Oliveira, Lucas de Melo. “Segmentação fuzzy de imagens e vídeos .” 2007. Web. 14 Aug 2020.

Vancouver:

Oliveira LdM. Segmentação fuzzy de imagens e vídeos . [Internet] [Masters thesis]. Universidade do Rio Grande do Norte; 2007. [cited 2020 Aug 14]. Available from: http://repositorio.ufrn.br/handle/123456789/18117.

Council of Science Editors:

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


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

22. Μεζάρης, Βασίλειος. Κατάτμηση εικόνων και εικονοσειρών για αναζήτηση βασισμένη στο περιεχόμενο.

Degree: 2005, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

 Objective of this work is the segmentation of images and image sequences for the application of content-based retrieval and the use of the results of… (more)

Subjects/Keywords: Κατάτμηση εικόνων; Χωρο-χρονική κατάτμηση εικονοσειρών; Κατάτμηση συμπιεσμένων εικονοσειρών; Αναζήτηση; Οντολογία αντικειμένου; Image segmentation; Spatio-temporal video segmentation; Compressed video segmentation; Retrieval; Object ontology

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APA (6th Edition):

Μεζάρης, . . (2005). Κατάτμηση εικόνων και εικονοσειρών για αναζήτηση βασισμένη στο περιεχόμενο. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/18973

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):

Μεζάρης, Βασίλειος. “Κατάτμηση εικόνων και εικονοσειρών για αναζήτηση βασισμένη στο περιεχόμενο.” 2005. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed August 14, 2020. http://hdl.handle.net/10442/hedi/18973.

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

MLA Handbook (7th Edition):

Μεζάρης, Βασίλειος. “Κατάτμηση εικόνων και εικονοσειρών για αναζήτηση βασισμένη στο περιεχόμενο.” 2005. Web. 14 Aug 2020.

Vancouver:

Μεζάρης . Κατάτμηση εικόνων και εικονοσειρών για αναζήτηση βασισμένη στο περιεχόμενο. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2005. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10442/hedi/18973.

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

Council of Science Editors:

Μεζάρης . Κατάτμηση εικόνων και εικονοσειρών για αναζήτηση βασισμένη στο περιεχόμενο. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2005. Available from: http://hdl.handle.net/10442/hedi/18973

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


Indian Institute of Science

23. Avinash Ramakanth, S. Approximate Nearest Neighbour Field Computation and Applications.

Degree: MSc Engg, Faculty of Engineering, 2018, Indian Institute of Science

 Approximate Nearest-Neighbour Field (ANNF maps between two related images are commonly used by computer vision and graphics community for image editing, completion, retargetting and denoising.… (more)

Subjects/Keywords: Digital Image Processing; Computer Vision; Optic Disc Detection; Video Object Segmentation; Approximate Nearest Neighbour Field (ANNF); Optical Flow; PatchMatch; Super Resolution Imaging; Feature Match; Computer Science

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APA (6th Edition):

Avinash Ramakanth, S. (2018). Approximate Nearest Neighbour Field Computation and Applications. (Masters Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/3503

Chicago Manual of Style (16th Edition):

Avinash Ramakanth, S. “Approximate Nearest Neighbour Field Computation and Applications.” 2018. Masters Thesis, Indian Institute of Science. Accessed August 14, 2020. http://etd.iisc.ac.in/handle/2005/3503.

MLA Handbook (7th Edition):

Avinash Ramakanth, S. “Approximate Nearest Neighbour Field Computation and Applications.” 2018. Web. 14 Aug 2020.

Vancouver:

Avinash Ramakanth S. Approximate Nearest Neighbour Field Computation and Applications. [Internet] [Masters thesis]. Indian Institute of Science; 2018. [cited 2020 Aug 14]. Available from: http://etd.iisc.ac.in/handle/2005/3503.

Council of Science Editors:

Avinash Ramakanth S. Approximate Nearest Neighbour Field Computation and Applications. [Masters Thesis]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/3503


University of Sydney

24. Guan, Genliang. Novel perspectives and approaches to video summarization .

Degree: 2014, University of Sydney

 The increasing volume of videos requires efficient and effective techniques to index and structure videos. Video summarization is such a technique that extracts the essential… (more)

Subjects/Keywords: video summarization; video retrieval; multimedia; image processing

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APA (6th Edition):

Guan, G. (2014). Novel perspectives and approaches to video summarization . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/13550

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):

Guan, Genliang. “Novel perspectives and approaches to video summarization .” 2014. Thesis, University of Sydney. Accessed August 14, 2020. http://hdl.handle.net/2123/13550.

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

MLA Handbook (7th Edition):

Guan, Genliang. “Novel perspectives and approaches to video summarization .” 2014. Web. 14 Aug 2020.

Vancouver:

Guan G. Novel perspectives and approaches to video summarization . [Internet] [Thesis]. University of Sydney; 2014. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/2123/13550.

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

Council of Science Editors:

Guan G. Novel perspectives and approaches to video summarization . [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/13550

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


Hong Kong University of Science and Technology

25. Shi, Yongfang. Fast mode decision algorithms for high efficiency video coding (HEVC) and image matting.

Degree: 2013, Hong Kong University of Science and Technology

 The High Efficiency Video Coding (HEVC) is the next generation video coding standard beyond H.264/AVC. As a newly established standard mainly targeted for the efficient… (more)

Subjects/Keywords: Video compression ; Digital video ; Image compression

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APA (6th Edition):

Shi, Y. (2013). Fast mode decision algorithms for high efficiency video coding (HEVC) and image matting. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-7974 ; https://doi.org/10.14711/thesis-b1240243 ; http://repository.ust.hk/ir/bitstream/1783.1-7974/1/th_redirect.html

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):

Shi, Yongfang. “Fast mode decision algorithms for high efficiency video coding (HEVC) and image matting.” 2013. Thesis, Hong Kong University of Science and Technology. Accessed August 14, 2020. http://repository.ust.hk/ir/Record/1783.1-7974 ; https://doi.org/10.14711/thesis-b1240243 ; http://repository.ust.hk/ir/bitstream/1783.1-7974/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Shi, Yongfang. “Fast mode decision algorithms for high efficiency video coding (HEVC) and image matting.” 2013. Web. 14 Aug 2020.

Vancouver:

Shi Y. Fast mode decision algorithms for high efficiency video coding (HEVC) and image matting. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2013. [cited 2020 Aug 14]. Available from: http://repository.ust.hk/ir/Record/1783.1-7974 ; https://doi.org/10.14711/thesis-b1240243 ; http://repository.ust.hk/ir/bitstream/1783.1-7974/1/th_redirect.html.

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

Council of Science Editors:

Shi Y. Fast mode decision algorithms for high efficiency video coding (HEVC) and image matting. [Thesis]. Hong Kong University of Science and Technology; 2013. Available from: http://repository.ust.hk/ir/Record/1783.1-7974 ; https://doi.org/10.14711/thesis-b1240243 ; http://repository.ust.hk/ir/bitstream/1783.1-7974/1/th_redirect.html

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


University of New South Wales

26. Li, Zhidong. Visual understanding by salient proto-objects.

Degree: Computer Science & Engineering, 2013, University of New South Wales

 In this thesis, we propose biologically inspired approaches for visual understanding tasks including object detection, image categorization, and visual tracking, based on the concept of… (more)

Subjects/Keywords: Video tracking; Saliency; Image categorization

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APA (6th Edition):

Li, Z. (2013). Visual understanding by salient proto-objects. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53221 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11916/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Li, Zhidong. “Visual understanding by salient proto-objects.” 2013. Doctoral Dissertation, University of New South Wales. Accessed August 14, 2020. http://handle.unsw.edu.au/1959.4/53221 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11916/SOURCE02?view=true.

MLA Handbook (7th Edition):

Li, Zhidong. “Visual understanding by salient proto-objects.” 2013. Web. 14 Aug 2020.

Vancouver:

Li Z. Visual understanding by salient proto-objects. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2020 Aug 14]. Available from: http://handle.unsw.edu.au/1959.4/53221 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11916/SOURCE02?view=true.

Council of Science Editors:

Li Z. Visual understanding by salient proto-objects. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/53221 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11916/SOURCE02?view=true


Brunel University

27. Amal, Mehanna. Novel entropy coding and its application of the compression of 3D image and video signals.

Degree: PhD, 2013, Brunel University

 The broadcast industry is moving future Digital Television towards Super high resolution TV (4k or 8k) and/or 3D TV. This ultimately will increase the demand… (more)

Subjects/Keywords: 621.36; Image processing; Video processing

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APA (6th Edition):

Amal, M. (2013). Novel entropy coding and its application of the compression of 3D image and video signals. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/11440 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667858

Chicago Manual of Style (16th Edition):

Amal, Mehanna. “Novel entropy coding and its application of the compression of 3D image and video signals.” 2013. Doctoral Dissertation, Brunel University. Accessed August 14, 2020. http://bura.brunel.ac.uk/handle/2438/11440 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667858.

MLA Handbook (7th Edition):

Amal, Mehanna. “Novel entropy coding and its application of the compression of 3D image and video signals.” 2013. Web. 14 Aug 2020.

Vancouver:

Amal M. Novel entropy coding and its application of the compression of 3D image and video signals. [Internet] [Doctoral dissertation]. Brunel University; 2013. [cited 2020 Aug 14]. Available from: http://bura.brunel.ac.uk/handle/2438/11440 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667858.

Council of Science Editors:

Amal M. Novel entropy coding and its application of the compression of 3D image and video signals. [Doctoral Dissertation]. Brunel University; 2013. Available from: http://bura.brunel.ac.uk/handle/2438/11440 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667858

28. Li, Zhenhao. Algorithmic Rectification of Visual Illegibility under Extreme Lighting.

Degree: PhD, 2018, McMaster University

Image and video enhancement, a classical problem of signal processing, has remained a very active research topic for past decades. This technical subject will not… (more)

Subjects/Keywords: Image and Video Processing; Pattern Recognition; Machine Learning; Image Enhancement; Image Segmentation

…x28;a) Original image; (b) ground truth of segmentation; (c) binary… …79 Backlit image restoration results without and with the proposed segmentation phase… …image; (b) ground truth of segmentation; (c) method by Lee et al. [43… …4.9 A failure case with incorrect segmentation. (a) Input image; (b)… …overwhelm most existing image/video processing approaches. A typical example is to restore images… 

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

APA (6th Edition):

Li, Z. (2018). Algorithmic Rectification of Visual Illegibility under Extreme Lighting. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/23652

Chicago Manual of Style (16th Edition):

Li, Zhenhao. “Algorithmic Rectification of Visual Illegibility under Extreme Lighting.” 2018. Doctoral Dissertation, McMaster University. Accessed August 14, 2020. http://hdl.handle.net/11375/23652.

MLA Handbook (7th Edition):

Li, Zhenhao. “Algorithmic Rectification of Visual Illegibility under Extreme Lighting.” 2018. Web. 14 Aug 2020.

Vancouver:

Li Z. Algorithmic Rectification of Visual Illegibility under Extreme Lighting. [Internet] [Doctoral dissertation]. McMaster University; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11375/23652.

Council of Science Editors:

Li Z. Algorithmic Rectification of Visual Illegibility under Extreme Lighting. [Doctoral Dissertation]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/23652

29. Robinault, Lionel. Mosaïque d’images multi résolution et applications : Multiresolution image mosaicing and applications.

Degree: Docteur es, Informatique, 2009, Université Lumière – Lyon II

Le travail de thèse que nous présentons s’articule autour de l’utilisation de caméras motorisées à trois degrés de liberté, également appelées caméras PTZ. Ces caméras… (more)

Subjects/Keywords: Analyse vidéo; Panorama; Mosaïque d’image; Recalage; Segmentation; Suivi; Video analysis; Panorama; Image mosaicing; Registration; Segmentation; Tracking

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

APA (6th Edition):

Robinault, L. (2009). Mosaïque d’images multi résolution et applications : Multiresolution image mosaicing and applications. (Doctoral Dissertation). Université Lumière – Lyon II. Retrieved from http://www.theses.fr/2009LYO20039

Chicago Manual of Style (16th Edition):

Robinault, Lionel. “Mosaïque d’images multi résolution et applications : Multiresolution image mosaicing and applications.” 2009. Doctoral Dissertation, Université Lumière – Lyon II. Accessed August 14, 2020. http://www.theses.fr/2009LYO20039.

MLA Handbook (7th Edition):

Robinault, Lionel. “Mosaïque d’images multi résolution et applications : Multiresolution image mosaicing and applications.” 2009. Web. 14 Aug 2020.

Vancouver:

Robinault L. Mosaïque d’images multi résolution et applications : Multiresolution image mosaicing and applications. [Internet] [Doctoral dissertation]. Université Lumière – Lyon II; 2009. [cited 2020 Aug 14]. Available from: http://www.theses.fr/2009LYO20039.

Council of Science Editors:

Robinault L. Mosaïque d’images multi résolution et applications : Multiresolution image mosaicing and applications. [Doctoral Dissertation]. Université Lumière – Lyon II; 2009. Available from: http://www.theses.fr/2009LYO20039


Loughborough University

30. Oldham, Kevin M. Table tennis event detection and classification.

Degree: PhD, 2015, Loughborough University

 It is well understood that multiple video cameras and computer vision (CV) technology can be used in sport for match officiating, statistics and player performance… (more)

Subjects/Keywords: 621.36; Ball tracking; Sport; CV; Segmentation; Table tennis; Ping pong; Feature extraction; Kalman Filter; Object detection; Circle Hough Transform; Image segmentation; Automated scoring; Automated coaching; Gaussian Mixture Model; Optical flow; Edge detection; Monocular; Video; Event classification.

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

APA (6th Edition):

Oldham, K. M. (2015). Table tennis event detection and classification. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/19626

Chicago Manual of Style (16th Edition):

Oldham, Kevin M. “Table tennis event detection and classification.” 2015. Doctoral Dissertation, Loughborough University. Accessed August 14, 2020. http://hdl.handle.net/2134/19626.

MLA Handbook (7th Edition):

Oldham, Kevin M. “Table tennis event detection and classification.” 2015. Web. 14 Aug 2020.

Vancouver:

Oldham KM. Table tennis event detection and classification. [Internet] [Doctoral dissertation]. Loughborough University; 2015. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/2134/19626.

Council of Science Editors:

Oldham KM. Table tennis event detection and classification. [Doctoral Dissertation]. Loughborough University; 2015. Available from: http://hdl.handle.net/2134/19626

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