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You searched for subject:(Seam carving detection). Showing records 1 – 3 of 3 total matches.

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University of Western Ontario

1. Liu, Xinze. Symmetry Shape Prior for Object Segmentation.

Degree: 2015, University of Western Ontario

Symmetry is a useful segmentation cue. We develop an algorithm for segmenting a single symmetric object from the background. Our algorithm is formulated in the principled global optimization framework. Thus we can incorporate all the useful segmentation cues in the global energy function, in addition to the symmetry shape prior. We use the standard cues of regular boundary and coherent object (background) appearance. Our algorithm consists of two stages. The first stage, based on seam carving, detects a set of symmetry axis candidates. Symmetry axis is detected by first finding image “seams” that are aligned with intensity gradients and then matching them based on pairwise symmetry. The second stage formulates symmetric object segmentation in discrete optimization framework. We choose the longest symmetry axis as the object axis. Object symmetry is encouraged through submodular long-range pairwise terms. These pairwise terms are submodular, so optimization with a graph cut is applicable. We demonstrate the effectiveness of symmetry cue on a new symmetric object dataset.

Subjects/Keywords: Binary image segmentation; Graph cut; symmetry detection; seam carving; Grab cut

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

APA (6th Edition):

Liu, X. (2015). Symmetry Shape Prior for Object Segmentation. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/3428

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):

Liu, Xinze. “Symmetry Shape Prior for Object Segmentation.” 2015. Thesis, University of Western Ontario. Accessed December 13, 2019. https://ir.lib.uwo.ca/etd/3428.

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

MLA Handbook (7th Edition):

Liu, Xinze. “Symmetry Shape Prior for Object Segmentation.” 2015. Web. 13 Dec 2019.

Vancouver:

Liu X. Symmetry Shape Prior for Object Segmentation. [Internet] [Thesis]. University of Western Ontario; 2015. [cited 2019 Dec 13]. Available from: https://ir.lib.uwo.ca/etd/3428.

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

Council of Science Editors:

Liu X. Symmetry Shape Prior for Object Segmentation. [Thesis]. University of Western Ontario; 2015. Available from: https://ir.lib.uwo.ca/etd/3428

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


New Jersey Institute of Technology

2. Ye, Jingyu. Forensic research on detecting seam carving in digital images.

Degree: PhD, Electrical and Computer Engineering, 2017, New Jersey Institute of Technology

Digital images have been playing an important role in our daily life for the last several decades. Naturally, image editing technologies have been tremendously developed due to the increasing demands. As a result, digital images can be easily manipulated on a personal computer or even a cellphone for many purposes nowadays, so that the authenticity of digital images becomes an important issue. In this dissertation research, four machine learning based forensic methods are presented to detect one of the popular image editing techniques, called ‘seam carving’. Advisors/Committee Members: Yun Q. Shi, Frank Y. Shih, John D. Carpinelli.

Subjects/Keywords: Digital image forensics; Seam carving detection; Support vector machine; Deep learning; Convolution neural network; Electrical and Electronics

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

APA (6th Edition):

Ye, J. (2017). Forensic research on detecting seam carving in digital images. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/28

Chicago Manual of Style (16th Edition):

Ye, Jingyu. “Forensic research on detecting seam carving in digital images.” 2017. Doctoral Dissertation, New Jersey Institute of Technology. Accessed December 13, 2019. https://digitalcommons.njit.edu/dissertations/28.

MLA Handbook (7th Edition):

Ye, Jingyu. “Forensic research on detecting seam carving in digital images.” 2017. Web. 13 Dec 2019.

Vancouver:

Ye J. Forensic research on detecting seam carving in digital images. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2017. [cited 2019 Dec 13]. Available from: https://digitalcommons.njit.edu/dissertations/28.

Council of Science Editors:

Ye J. Forensic research on detecting seam carving in digital images. [Doctoral Dissertation]. New Jersey Institute of Technology; 2017. Available from: https://digitalcommons.njit.edu/dissertations/28


Linköping University

3. Holmer, Stefan. Implementation and evaluation of content-aware video retargeting techniques.

Degree: Electrical Engineering, 2008, Linköping University

The purpose of this master thesis was to study different content-aware video retargeting techniques, concentrating on a generalization of seam carving for video. Focus have also been put on the possibility to combine different techniques to achieve better retargeting of both multi-shot video and single-shot video. This also involved significant studies of automatic cut detection and different measures of video content. The work resulted in a prototype application for semi-automatic video retargeting, developed in Matlab. Three different retargeting techniques, seam carving, automated pan & scan and subsampling using bi-cubic interpolation, have been implemented in the prototype. The techniques have been evaluated and compared to each other from a content preservation perspective and a perceived quality perspective.

Syftet med examensarbetet har varit att studera tekniker för ändring av bredd/höjd-förhållandet i videosekvenser, där hänsyn tas till innehållet i bilderna. Fokus har lagts på en generalisering av "seam carving" för video och möjligheterna att kombinera olika tekniker för att nå bättre kvalitet både för videosekvenser som består av endast ett, eller flera, klipp. Detta innefattade således också omfattande studier av automatisk klippdetektering och olika mått av videoinnehåll. Arbetet har resulterat i en prototypapplikation utvecklad i Matlab för halvautomatisk förändring av bildförhållande där hänsyn tas till innehållet i sekvenserna. I prototypen finns tre metoder implementerade, "seam carving", automatiserad "pan & scan" och nedsampling med bi-kubisk interpolering. Dessa metoder har utvärderats och jämförts med varandra från ett innehållsbevarande perspektiv och ett kvalitetsperspektiv.

Subjects/Keywords: seam carving; retargeting; aspect ratio; scaling; saliency; cut; shot; detection; widescreen; fullscreen; processing; optical flow; sampling; pan; scan; energy; Computer Vision and Robotics (Autonomous Systems); Datorseende och robotik (autonoma system); Other Electrical Engineering, Electronic Engineering, Information Engineering; Annan elektroteknik och elektronik; Computer Engineering; Datorteknik; Signal Processing; Signalbehandling; Engineering and Technology; Teknik och teknologier

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

APA (6th Edition):

Holmer, S. (2008). Implementation and evaluation of content-aware video retargeting techniques. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15230

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):

Holmer, Stefan. “Implementation and evaluation of content-aware video retargeting techniques.” 2008. Thesis, Linköping University. Accessed December 13, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15230.

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

MLA Handbook (7th Edition):

Holmer, Stefan. “Implementation and evaluation of content-aware video retargeting techniques.” 2008. Web. 13 Dec 2019.

Vancouver:

Holmer S. Implementation and evaluation of content-aware video retargeting techniques. [Internet] [Thesis]. Linköping University; 2008. [cited 2019 Dec 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15230.

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

Council of Science Editors:

Holmer S. Implementation and evaluation of content-aware video retargeting techniques. [Thesis]. Linköping University; 2008. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15230

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

.