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You searched for +publisher:"Oregon State University" +contributor:("Todorovic, Sinisa"). Showing records 1 – 21 of 21 total matches.

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Oregon State University

1. Nguyen, Khoi. Relational Networks for visual Relationship detection in Images.

Degree: MS, 2017, Oregon State University

 This thesis is about visual relationship detection. This is an important task in computer vision. The goal is to detect all visual relationships in a… (more)

Subjects/Keywords: Visual Relationship Detection

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APA (6th Edition):

Nguyen, K. (2017). Relational Networks for visual Relationship detection in Images. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/61918

Chicago Manual of Style (16th Edition):

Nguyen, Khoi. “Relational Networks for visual Relationship detection in Images.” 2017. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/61918.

MLA Handbook (7th Edition):

Nguyen, Khoi. “Relational Networks for visual Relationship detection in Images.” 2017. Web. 18 Aug 2019.

Vancouver:

Nguyen K. Relational Networks for visual Relationship detection in Images. [Internet] [Masters thesis]. Oregon State University; 2017. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/61918.

Council of Science Editors:

Nguyen K. Relational Networks for visual Relationship detection in Images. [Masters Thesis]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/61918


Oregon State University

2. Kagaya, Mizuki. Painterly rendering using space-time varying style parameters.

Degree: MS, Computer Science, 2009, Oregon State University

 Automatic painterly rendering systems have been proposed but they opted for selecting a single style to generate paintings from images, which lacks the ability of… (more)

Subjects/Keywords: Computer Graphics; Rendering (Computer graphics)

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APA (6th Edition):

Kagaya, M. (2009). Painterly rendering using space-time varying style parameters. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/11594

Chicago Manual of Style (16th Edition):

Kagaya, Mizuki. “Painterly rendering using space-time varying style parameters.” 2009. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/11594.

MLA Handbook (7th Edition):

Kagaya, Mizuki. “Painterly rendering using space-time varying style parameters.” 2009. Web. 18 Aug 2019.

Vancouver:

Kagaya M. Painterly rendering using space-time varying style parameters. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/11594.

Council of Science Editors:

Kagaya M. Painterly rendering using space-time varying style parameters. [Masters Thesis]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/11594


Oregon State University

3. Dhamodaran, Sharath Kumar. Pattern discovery in noisy images.

Degree: MS, Electrical and Computer Engineering, 2013, Oregon State University

 The Focused Ion Beam (FIB) tool is a versatile instrument for nano-machining in circuit editing. Circuit editing is one of the most important steps in… (more)

Subjects/Keywords: Focused ion beams

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APA (6th Edition):

Dhamodaran, S. K. (2013). Pattern discovery in noisy images. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/43343

Chicago Manual of Style (16th Edition):

Dhamodaran, Sharath Kumar. “Pattern discovery in noisy images.” 2013. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/43343.

MLA Handbook (7th Edition):

Dhamodaran, Sharath Kumar. “Pattern discovery in noisy images.” 2013. Web. 18 Aug 2019.

Vancouver:

Dhamodaran SK. Pattern discovery in noisy images. [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/43343.

Council of Science Editors:

Dhamodaran SK. Pattern discovery in noisy images. [Masters Thesis]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/43343


Oregon State University

4. Mahmoudabadi, Hamid. Implementing High Dynamic Range (HDR) Photography to Improve 3D Laser Scanning Point Cloud Visualization and Segmentation.

Degree: PhD, Civil Engineering, 2015, Oregon State University

 This research explores several novel approaches to improve visualization and segmentation of point clouds acquired with 3D laser scanning. 3D laser scanning is used in… (more)

Subjects/Keywords: High Dynamic Range imaging (HDR); High dynamic range imaging

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APA (6th Edition):

Mahmoudabadi, H. (2015). Implementing High Dynamic Range (HDR) Photography to Improve 3D Laser Scanning Point Cloud Visualization and Segmentation. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/57112

Chicago Manual of Style (16th Edition):

Mahmoudabadi, Hamid. “Implementing High Dynamic Range (HDR) Photography to Improve 3D Laser Scanning Point Cloud Visualization and Segmentation.” 2015. Doctoral Dissertation, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/57112.

MLA Handbook (7th Edition):

Mahmoudabadi, Hamid. “Implementing High Dynamic Range (HDR) Photography to Improve 3D Laser Scanning Point Cloud Visualization and Segmentation.” 2015. Web. 18 Aug 2019.

Vancouver:

Mahmoudabadi H. Implementing High Dynamic Range (HDR) Photography to Improve 3D Laser Scanning Point Cloud Visualization and Segmentation. [Internet] [Doctoral dissertation]. Oregon State University; 2015. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/57112.

Council of Science Editors:

Mahmoudabadi H. Implementing High Dynamic Range (HDR) Photography to Improve 3D Laser Scanning Point Cloud Visualization and Segmentation. [Doctoral Dissertation]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/57112


Oregon State University

5. Inouye, Jennifer A. Analysis of bio-based composites for image segmentation with the aid of games.

Degree: MS, Computer Science, 2012, Oregon State University

 A fundamental problem in computer vision is to partition an image into meaningful segments. While image segmentation is required by many applications, the thesis focuses… (more)

Subjects/Keywords: Computer; Computer vision

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APA (6th Edition):

Inouye, J. A. (2012). Analysis of bio-based composites for image segmentation with the aid of games. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/29507

Chicago Manual of Style (16th Edition):

Inouye, Jennifer A. “Analysis of bio-based composites for image segmentation with the aid of games.” 2012. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/29507.

MLA Handbook (7th Edition):

Inouye, Jennifer A. “Analysis of bio-based composites for image segmentation with the aid of games.” 2012. Web. 18 Aug 2019.

Vancouver:

Inouye JA. Analysis of bio-based composites for image segmentation with the aid of games. [Internet] [Masters thesis]. Oregon State University; 2012. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/29507.

Council of Science Editors:

Inouye JA. Analysis of bio-based composites for image segmentation with the aid of games. [Masters Thesis]. Oregon State University; 2012. Available from: http://hdl.handle.net/1957/29507


Oregon State University

6. Chen, Sheng. Object Tracking-by-Segmentation in Videos.

Degree: PhD, Computer Science, 2017, Oregon State University

 This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of… (more)

Subjects/Keywords: Tracking; Image segmentation

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APA (6th Edition):

Chen, S. (2017). Object Tracking-by-Segmentation in Videos. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/60452

Chicago Manual of Style (16th Edition):

Chen, Sheng. “Object Tracking-by-Segmentation in Videos.” 2017. Doctoral Dissertation, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/60452.

MLA Handbook (7th Edition):

Chen, Sheng. “Object Tracking-by-Segmentation in Videos.” 2017. Web. 18 Aug 2019.

Vancouver:

Chen S. Object Tracking-by-Segmentation in Videos. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/60452.

Council of Science Editors:

Chen S. Object Tracking-by-Segmentation in Videos. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/60452


Oregon State University

7. Potanapalli, Kranti Kumar. Coactive learning for multi-robot search and coverage.

Degree: MS, Computer Science, 2013, Oregon State University

 We investigate a search and coverage planning problem, where an area of interest has to be explored by a number of vehicles, given a fixed… (more)

Subjects/Keywords: Coactive Learning; Swarm intelligence  – Mathematical models

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APA (6th Edition):

Potanapalli, K. K. (2013). Coactive learning for multi-robot search and coverage. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/45107

Chicago Manual of Style (16th Edition):

Potanapalli, Kranti Kumar. “Coactive learning for multi-robot search and coverage.” 2013. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/45107.

MLA Handbook (7th Edition):

Potanapalli, Kranti Kumar. “Coactive learning for multi-robot search and coverage.” 2013. Web. 18 Aug 2019.

Vancouver:

Potanapalli KK. Coactive learning for multi-robot search and coverage. [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/45107.

Council of Science Editors:

Potanapalli KK. Coactive learning for multi-robot search and coverage. [Masters Thesis]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/45107


Oregon State University

8. Liu, Tian. Region based image matching for 3D object recognition.

Degree: MS, Computer Science, 2010, Oregon State University

 3D object recognition is a very difficult and important problem in computer vision, arising in a wide range of applications. Typically in 3D object recognition,… (more)

Subjects/Keywords: object recognition; Image registration

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APA (6th Edition):

Liu, T. (2010). Region based image matching for 3D object recognition. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/16869

Chicago Manual of Style (16th Edition):

Liu, Tian. “Region based image matching for 3D object recognition.” 2010. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/16869.

MLA Handbook (7th Edition):

Liu, Tian. “Region based image matching for 3D object recognition.” 2010. Web. 18 Aug 2019.

Vancouver:

Liu T. Region based image matching for 3D object recognition. [Internet] [Masters thesis]. Oregon State University; 2010. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/16869.

Council of Science Editors:

Liu T. Region based image matching for 3D object recognition. [Masters Thesis]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/16869


Oregon State University

9. Amer, Mohamed R. Recognizing human group activities in video through mining optimal features.

Degree: MS, Electrical and Computer Engineering, 2011, Oregon State University

 Given a video, we would like to recognize group activities, localize video parts where these activities occur, and detect actors involved in them. To this… (more)

Subjects/Keywords: Computer Vision

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APA (6th Edition):

Amer, M. R. (2011). Recognizing human group activities in video through mining optimal features. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/21793

Chicago Manual of Style (16th Edition):

Amer, Mohamed R. “Recognizing human group activities in video through mining optimal features.” 2011. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/21793.

MLA Handbook (7th Edition):

Amer, Mohamed R. “Recognizing human group activities in video through mining optimal features.” 2011. Web. 18 Aug 2019.

Vancouver:

Amer MR. Recognizing human group activities in video through mining optimal features. [Internet] [Masters thesis]. Oregon State University; 2011. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/21793.

Council of Science Editors:

Amer MR. Recognizing human group activities in video through mining optimal features. [Masters Thesis]. Oregon State University; 2011. Available from: http://hdl.handle.net/1957/21793


Oregon State University

10. Roy, Anirban. Semantic Image Segmentation Using Domain Constraints.

Degree: PhD, 2017, Oregon State University

 This dissertation addresses the problem of semantic labeling of image pixels. In the course of our work, we considered different types of semantic labels, including… (more)

Subjects/Keywords: Computer Vision; Semantic Image Segmentation; Deep Learning

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APA (6th Edition):

Roy, A. (2017). Semantic Image Segmentation Using Domain Constraints. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/61703

Chicago Manual of Style (16th Edition):

Roy, Anirban. “Semantic Image Segmentation Using Domain Constraints.” 2017. Doctoral Dissertation, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/61703.

MLA Handbook (7th Edition):

Roy, Anirban. “Semantic Image Segmentation Using Domain Constraints.” 2017. Web. 18 Aug 2019.

Vancouver:

Roy A. Semantic Image Segmentation Using Domain Constraints. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/61703.

Council of Science Editors:

Roy A. Semantic Image Segmentation Using Domain Constraints. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/61703

11. Amer, Mohamed R. Hierarchical graphical models for activity recognition in videos.

Degree: PhD, Electrical and Computer Engineering, 2014, Oregon State University

 This dissertation addresses the problem of recognizing human activities in videos. Our focus is on activities with stochastic structure, where the activities are characterized by… (more)

Subjects/Keywords: Activity Recognition; Computer vision

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APA (6th Edition):

Amer, M. R. (2014). Hierarchical graphical models for activity recognition in videos. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/49128

Chicago Manual of Style (16th Edition):

Amer, Mohamed R. “Hierarchical graphical models for activity recognition in videos.” 2014. Doctoral Dissertation, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/49128.

MLA Handbook (7th Edition):

Amer, Mohamed R. “Hierarchical graphical models for activity recognition in videos.” 2014. Web. 18 Aug 2019.

Vancouver:

Amer MR. Hierarchical graphical models for activity recognition in videos. [Internet] [Doctoral dissertation]. Oregon State University; 2014. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/49128.

Council of Science Editors:

Amer MR. Hierarchical graphical models for activity recognition in videos. [Doctoral Dissertation]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/49128

12. Feng, Yaofei. Fine-grained detection and localization of objects in images.

Degree: MS, Computer Science, 2013, Oregon State University

 Object recognition is a fundamental problem in computer vision. Recognition is required by many applications. This thesis presents a distance based approach to recognize objects.… (more)

Subjects/Keywords: Computer vision; Computer vision

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APA (6th Edition):

Feng, Y. (2013). Fine-grained detection and localization of objects in images. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/39627

Chicago Manual of Style (16th Edition):

Feng, Yaofei. “Fine-grained detection and localization of objects in images.” 2013. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/39627.

MLA Handbook (7th Edition):

Feng, Yaofei. “Fine-grained detection and localization of objects in images.” 2013. Web. 18 Aug 2019.

Vancouver:

Feng Y. Fine-grained detection and localization of objects in images. [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/39627.

Council of Science Editors:

Feng Y. Fine-grained detection and localization of objects in images. [Masters Thesis]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/39627

13. Roy, Anirban. Learning affinities of exemplar videos for multi-view action recognition.

Degree: MS, Computer Science, 2013, Oregon State University

 This thesis addresses a fundamental computer vision problem, that of action recognition. The goal of action recognition is to recognize a class of human actions… (more)

Subjects/Keywords: Multi-View; Computer vision

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APA (6th Edition):

Roy, A. (2013). Learning affinities of exemplar videos for multi-view action recognition. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/45882

Chicago Manual of Style (16th Edition):

Roy, Anirban. “Learning affinities of exemplar videos for multi-view action recognition.” 2013. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/45882.

MLA Handbook (7th Edition):

Roy, Anirban. “Learning affinities of exemplar videos for multi-view action recognition.” 2013. Web. 18 Aug 2019.

Vancouver:

Roy A. Learning affinities of exemplar videos for multi-view action recognition. [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/45882.

Council of Science Editors:

Roy A. Learning affinities of exemplar videos for multi-view action recognition. [Masters Thesis]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/45882

14. Payet, Nadia. From shape-based object recognition and discovery to 3D scene interpretation.

Degree: PhD, Computer Science, 2011, Oregon State University

 This dissertation addresses a number of inter-related and fundamental problems in computer vision. Specifically, we address object discovery, recognition, segmentation, and 3D pose estimation in… (more)

Subjects/Keywords: object recognition

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APA (6th Edition):

Payet, N. (2011). From shape-based object recognition and discovery to 3D scene interpretation. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/21316

Chicago Manual of Style (16th Edition):

Payet, Nadia. “From shape-based object recognition and discovery to 3D scene interpretation.” 2011. Doctoral Dissertation, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/21316.

MLA Handbook (7th Edition):

Payet, Nadia. “From shape-based object recognition and discovery to 3D scene interpretation.” 2011. Web. 18 Aug 2019.

Vancouver:

Payet N. From shape-based object recognition and discovery to 3D scene interpretation. [Internet] [Doctoral dissertation]. Oregon State University; 2011. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/21316.

Council of Science Editors:

Payet N. From shape-based object recognition and discovery to 3D scene interpretation. [Doctoral Dissertation]. Oregon State University; 2011. Available from: http://hdl.handle.net/1957/21316

15. Varakantham, Shravya. Computer vision for geometrical analysis of bridge gusset plates.

Degree: MS, Computer Science, 2014, Oregon State University

 Gusset plates are an important component of bridges. They are thick sheets of steel that join steel members together using fasteners and also strengthen their… (more)

Subjects/Keywords: Gusset plates; Computer vision

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APA (6th Edition):

Varakantham, S. (2014). Computer vision for geometrical analysis of bridge gusset plates. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/54160

Chicago Manual of Style (16th Edition):

Varakantham, Shravya. “Computer vision for geometrical analysis of bridge gusset plates.” 2014. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/54160.

MLA Handbook (7th Edition):

Varakantham, Shravya. “Computer vision for geometrical analysis of bridge gusset plates.” 2014. Web. 18 Aug 2019.

Vancouver:

Varakantham S. Computer vision for geometrical analysis of bridge gusset plates. [Internet] [Masters thesis]. Oregon State University; 2014. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/54160.

Council of Science Editors:

Varakantham S. Computer vision for geometrical analysis of bridge gusset plates. [Masters Thesis]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/54160

16. Lam, Michael (Michael Quang Thai). Object detection in biological images using a search-based framework.

Degree: MS, Computer Science, 2014, Oregon State University

 This thesis addresses a basic problem in computer vision, that of semantic labeling of images. Our work is aimed at object detection in biological images… (more)

Subjects/Keywords: Computer Vision; Computer vision

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APA (6th Edition):

Lam, M. (. Q. T. (2014). Object detection in biological images using a search-based framework. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/49275

Chicago Manual of Style (16th Edition):

Lam, Michael (Michael Quang Thai). “Object detection in biological images using a search-based framework.” 2014. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/49275.

MLA Handbook (7th Edition):

Lam, Michael (Michael Quang Thai). “Object detection in biological images using a search-based framework.” 2014. Web. 18 Aug 2019.

Vancouver:

Lam M(QT. Object detection in biological images using a search-based framework. [Internet] [Masters thesis]. Oregon State University; 2014. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/49275.

Council of Science Editors:

Lam M(QT. Object detection in biological images using a search-based framework. [Masters Thesis]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/49275

17. Brendel, William. From multitarget tracking to event recognition in videos.

Degree: PhD, Computer Science, 2011, Oregon State University

 This dissertation addresses two fundamental problems in computer vision—namely, multitarget tracking and event recognition in videos. These problems are challenging because uncertainty may arise from… (more)

Subjects/Keywords: multitarget tracking; Computer vision

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APA (6th Edition):

Brendel, W. (2011). From multitarget tracking to event recognition in videos. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/21315

Chicago Manual of Style (16th Edition):

Brendel, William. “From multitarget tracking to event recognition in videos.” 2011. Doctoral Dissertation, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/21315.

MLA Handbook (7th Edition):

Brendel, William. “From multitarget tracking to event recognition in videos.” 2011. Web. 18 Aug 2019.

Vancouver:

Brendel W. From multitarget tracking to event recognition in videos. [Internet] [Doctoral dissertation]. Oregon State University; 2011. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/21315.

Council of Science Editors:

Brendel W. From multitarget tracking to event recognition in videos. [Doctoral Dissertation]. Oregon State University; 2011. Available from: http://hdl.handle.net/1957/21315

18. Zhou, Zheng. Flex-Shape Convolution and an Interactive Image Segmentation System.

Degree: MS, 2017, Oregon State University

 Semantic image segmentation is a relatively difficult task in computer vision. With the advent of deep learning, semantic image segmentation is increasingly of interest for… (more)

Subjects/Keywords: Interactive image segmentation

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APA (6th Edition):

Zhou, Z. (2017). Flex-Shape Convolution and an Interactive Image Segmentation System. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/61374

Chicago Manual of Style (16th Edition):

Zhou, Zheng. “Flex-Shape Convolution and an Interactive Image Segmentation System.” 2017. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/61374.

MLA Handbook (7th Edition):

Zhou, Zheng. “Flex-Shape Convolution and an Interactive Image Segmentation System.” 2017. Web. 18 Aug 2019.

Vancouver:

Zhou Z. Flex-Shape Convolution and an Interactive Image Segmentation System. [Internet] [Masters thesis]. Oregon State University; 2017. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/61374.

Council of Science Editors:

Zhou Z. Flex-Shape Convolution and an Interactive Image Segmentation System. [Masters Thesis]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/61374

19. Lingutla Venkata, Nikhil Tej. Annotation of image segments with ontologies (AISO).

Degree: MS, Computer Science, 2013, Oregon State University

 This M.S thesis presents an interactive software tool that I have developed in the course of the past two years. This interactive tool is called… (more)

Subjects/Keywords: Image segmentation; Image processing  – Computer programs

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APA (6th Edition):

Lingutla Venkata, N. T. (2013). Annotation of image segments with ontologies (AISO). (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/42883

Chicago Manual of Style (16th Edition):

Lingutla Venkata, Nikhil Tej. “Annotation of image segments with ontologies (AISO).” 2013. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/42883.

MLA Handbook (7th Edition):

Lingutla Venkata, Nikhil Tej. “Annotation of image segments with ontologies (AISO).” 2013. Web. 18 Aug 2019.

Vancouver:

Lingutla Venkata NT. Annotation of image segments with ontologies (AISO). [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/42883.

Council of Science Editors:

Lingutla Venkata NT. Annotation of image segments with ontologies (AISO). [Masters Thesis]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/42883

20. Bawaskar, Amit. Interactive player tracking for videos in American football.

Degree: MS, Computer Science, 2014, Oregon State University

 This thesis presents an interactive software tool for tracking a moving object in a video. In particular, we focus on the problem of tracking a… (more)

Subjects/Keywords: tracking; Computer vision

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

APA (6th Edition):

Bawaskar, A. (2014). Interactive player tracking for videos in American football. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/49134

Chicago Manual of Style (16th Edition):

Bawaskar, Amit. “Interactive player tracking for videos in American football.” 2014. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/49134.

MLA Handbook (7th Edition):

Bawaskar, Amit. “Interactive player tracking for videos in American football.” 2014. Web. 18 Aug 2019.

Vancouver:

Bawaskar A. Interactive player tracking for videos in American football. [Internet] [Masters thesis]. Oregon State University; 2014. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/49134.

Council of Science Editors:

Bawaskar A. Interactive player tracking for videos in American football. [Masters Thesis]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/49134

21. Terhuja, Vikedo. Automatic Detection of Possessions and Shots from Raw Basketball Videos.

Degree: MS, Computer Science, 2015, Oregon State University

 Sports analytics is rapidly evolving today through the use of computer vision systems that automatically extract huge amount of information inherently present in multimedia data… (more)

Subjects/Keywords: Event Detection; Computer vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Terhuja, V. (2015). Automatic Detection of Possessions and Shots from Raw Basketball Videos. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/57940

Chicago Manual of Style (16th Edition):

Terhuja, Vikedo. “Automatic Detection of Possessions and Shots from Raw Basketball Videos.” 2015. Masters Thesis, Oregon State University. Accessed August 18, 2019. http://hdl.handle.net/1957/57940.

MLA Handbook (7th Edition):

Terhuja, Vikedo. “Automatic Detection of Possessions and Shots from Raw Basketball Videos.” 2015. Web. 18 Aug 2019.

Vancouver:

Terhuja V. Automatic Detection of Possessions and Shots from Raw Basketball Videos. [Internet] [Masters thesis]. Oregon State University; 2015. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/1957/57940.

Council of Science Editors:

Terhuja V. Automatic Detection of Possessions and Shots from Raw Basketball Videos. [Masters Thesis]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/57940

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