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You searched for subject:(Saliency). Showing records 1 – 30 of 229 total matches.

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University of Manitoba

1. Rahman, Shafin. Understanding Visual Saliency and Perception of Digital Media.

Degree: Computer Science, 2015, University of Manitoba

 Eye movements are directed by both high-level considerations such as contextual guidance or experience and also by observed visual patterns. A bright light or high… (more)

Subjects/Keywords: Visual Saliency

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APA (6th Edition):

Rahman, S. (2015). Understanding Visual Saliency and Perception of Digital Media. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/30812

Chicago Manual of Style (16th Edition):

Rahman, Shafin. “Understanding Visual Saliency and Perception of Digital Media.” 2015. Masters Thesis, University of Manitoba. Accessed May 08, 2021. http://hdl.handle.net/1993/30812.

MLA Handbook (7th Edition):

Rahman, Shafin. “Understanding Visual Saliency and Perception of Digital Media.” 2015. Web. 08 May 2021.

Vancouver:

Rahman S. Understanding Visual Saliency and Perception of Digital Media. [Internet] [Masters thesis]. University of Manitoba; 2015. [cited 2021 May 08]. Available from: http://hdl.handle.net/1993/30812.

Council of Science Editors:

Rahman S. Understanding Visual Saliency and Perception of Digital Media. [Masters Thesis]. University of Manitoba; 2015. Available from: http://hdl.handle.net/1993/30812


University of Technology, Sydney

2. Cheng, Hao. Visual saliency prediction for stereoscopic image.

Degree: 2018, University of Technology, Sydney

Saliency prediction is considered to be key to attentional processing. Attention improves learning and survival by compelling creatures to focus their limited cognitive resources and… (more)

Subjects/Keywords: Saliency prediction.; Stereoscopic saliency model.; Computational saliency model.; Stereoscopic 3D visual saliency.

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APA (6th Edition):

Cheng, H. (2018). Visual saliency prediction for stereoscopic image. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/127984

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):

Cheng, Hao. “Visual saliency prediction for stereoscopic image.” 2018. Thesis, University of Technology, Sydney. Accessed May 08, 2021. http://hdl.handle.net/10453/127984.

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

MLA Handbook (7th Edition):

Cheng, Hao. “Visual saliency prediction for stereoscopic image.” 2018. Web. 08 May 2021.

Vancouver:

Cheng H. Visual saliency prediction for stereoscopic image. [Internet] [Thesis]. University of Technology, Sydney; 2018. [cited 2021 May 08]. Available from: http://hdl.handle.net/10453/127984.

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

Council of Science Editors:

Cheng H. Visual saliency prediction for stereoscopic image. [Thesis]. University of Technology, Sydney; 2018. Available from: http://hdl.handle.net/10453/127984

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


Robert Gordon University

3. Chilukamari, Jayachandra. A computational model of visual attention.

Degree: PhD, 2017, Robert Gordon University

 Visual attention is a process by which the Human Visual System (HVS) selects most important information from a scene. Visual attention models are computational or… (more)

Subjects/Keywords: 006.3; Visual saliency; Saliency detection; In-focus; Frequency saliency; Fixation prediction; Attention; Visual attention models; Saliency model; Face saliency

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APA (6th Edition):

Chilukamari, J. (2017). A computational model of visual attention. (Doctoral Dissertation). Robert Gordon University. Retrieved from http://hdl.handle.net/10059/2443

Chicago Manual of Style (16th Edition):

Chilukamari, Jayachandra. “A computational model of visual attention.” 2017. Doctoral Dissertation, Robert Gordon University. Accessed May 08, 2021. http://hdl.handle.net/10059/2443.

MLA Handbook (7th Edition):

Chilukamari, Jayachandra. “A computational model of visual attention.” 2017. Web. 08 May 2021.

Vancouver:

Chilukamari J. A computational model of visual attention. [Internet] [Doctoral dissertation]. Robert Gordon University; 2017. [cited 2021 May 08]. Available from: http://hdl.handle.net/10059/2443.

Council of Science Editors:

Chilukamari J. A computational model of visual attention. [Doctoral Dissertation]. Robert Gordon University; 2017. Available from: http://hdl.handle.net/10059/2443


University of Edinburgh

4. Frankland, David. Assessment of Landmark Visibility for Automated Wayfinding Route Instructions.

Degree: 2010, University of Edinburgh

 Landmarks are used by people in unfamiliar spatial environments as points of reference with which to construct a mental comprehension of space. Supplementing route directions… (more)

Subjects/Keywords: Wayfinding; Saliency; LiDAR; Viewshed

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APA (6th Edition):

Frankland, D. (2010). Assessment of Landmark Visibility for Automated Wayfinding Route Instructions. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3751

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):

Frankland, David. “Assessment of Landmark Visibility for Automated Wayfinding Route Instructions.” 2010. Thesis, University of Edinburgh. Accessed May 08, 2021. http://hdl.handle.net/1842/3751.

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

MLA Handbook (7th Edition):

Frankland, David. “Assessment of Landmark Visibility for Automated Wayfinding Route Instructions.” 2010. Web. 08 May 2021.

Vancouver:

Frankland D. Assessment of Landmark Visibility for Automated Wayfinding Route Instructions. [Internet] [Thesis]. University of Edinburgh; 2010. [cited 2021 May 08]. Available from: http://hdl.handle.net/1842/3751.

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

Council of Science Editors:

Frankland D. Assessment of Landmark Visibility for Automated Wayfinding Route Instructions. [Thesis]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/3751

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


Penn State University

5. Gutworth, Melissa Beth. The Dark Side to Creativity: Testing an Intervention to Deter Deviance.

Degree: 2014, Penn State University

 Although creativity is commonly thought to be beneficial for businesses trying to maintain a competitive edge, a relationship has been found between creativity and deviance.… (more)

Subjects/Keywords: creativity; deviance; intervention; ethics; saliency

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APA (6th Edition):

Gutworth, M. B. (2014). The Dark Side to Creativity: Testing an Intervention to Deter Deviance. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/22647

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):

Gutworth, Melissa Beth. “The Dark Side to Creativity: Testing an Intervention to Deter Deviance.” 2014. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/22647.

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

MLA Handbook (7th Edition):

Gutworth, Melissa Beth. “The Dark Side to Creativity: Testing an Intervention to Deter Deviance.” 2014. Web. 08 May 2021.

Vancouver:

Gutworth MB. The Dark Side to Creativity: Testing an Intervention to Deter Deviance. [Internet] [Thesis]. Penn State University; 2014. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/22647.

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

Council of Science Editors:

Gutworth MB. The Dark Side to Creativity: Testing an Intervention to Deter Deviance. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/22647

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


Penn State University

6. Kare, Nachiket C. Clustering and classification of images based on salient data points.

Degree: 2016, Penn State University

 In this thesis work, we consider the problem of object clustering and classification from a set of images. The problem being considered here is supervised… (more)

Subjects/Keywords: saliency detection; clustering; supervised clustering

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

APA (6th Edition):

Kare, N. C. (2016). Clustering and classification of images based on salient data points. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/28878

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):

Kare, Nachiket C. “Clustering and classification of images based on salient data points.” 2016. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/28878.

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

MLA Handbook (7th Edition):

Kare, Nachiket C. “Clustering and classification of images based on salient data points.” 2016. Web. 08 May 2021.

Vancouver:

Kare NC. Clustering and classification of images based on salient data points. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/28878.

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

Council of Science Editors:

Kare NC. Clustering and classification of images based on salient data points. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/28878

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


University of Newcastle

7. Bhatia, Shashank. Automatic landmark detection for localisation and navigation.

Degree: PhD, 2015, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

The objective of this research work is to advance the process of integrating mobile service robots in public… (more)

Subjects/Keywords: landmarks; localisation; navigation; saliency

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APA (6th Edition):

Bhatia, S. (2015). Automatic landmark detection for localisation and navigation. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1063105

Chicago Manual of Style (16th Edition):

Bhatia, Shashank. “Automatic landmark detection for localisation and navigation.” 2015. Doctoral Dissertation, University of Newcastle. Accessed May 08, 2021. http://hdl.handle.net/1959.13/1063105.

MLA Handbook (7th Edition):

Bhatia, Shashank. “Automatic landmark detection for localisation and navigation.” 2015. Web. 08 May 2021.

Vancouver:

Bhatia S. Automatic landmark detection for localisation and navigation. [Internet] [Doctoral dissertation]. University of Newcastle; 2015. [cited 2021 May 08]. Available from: http://hdl.handle.net/1959.13/1063105.

Council of Science Editors:

Bhatia S. Automatic landmark detection for localisation and navigation. [Doctoral Dissertation]. University of Newcastle; 2015. Available from: http://hdl.handle.net/1959.13/1063105


University of Southern California

8. Wang, Jingwei. Depth inference and visual saliency detection from 2D images.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 With the rapid development of 3D vision technology, it is an active research topic to recover the depth information from 2D images. Current solutions heavily… (more)

Subjects/Keywords: 2D; 3D; depth; saliency; image

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APA (6th Edition):

Wang, J. (2013). Depth inference and visual saliency detection from 2D images. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/293350/rec/1846

Chicago Manual of Style (16th Edition):

Wang, Jingwei. “Depth inference and visual saliency detection from 2D images.” 2013. Doctoral Dissertation, University of Southern California. Accessed May 08, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/293350/rec/1846.

MLA Handbook (7th Edition):

Wang, Jingwei. “Depth inference and visual saliency detection from 2D images.” 2013. Web. 08 May 2021.

Vancouver:

Wang J. Depth inference and visual saliency detection from 2D images. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2021 May 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/293350/rec/1846.

Council of Science Editors:

Wang J. Depth inference and visual saliency detection from 2D images. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/293350/rec/1846


University of Waterloo

9. Jain, Aanchal. Nonparametric Neighbourhood Based Multiscale Model for Image Analysis and Understanding.

Degree: 2012, University of Waterloo

 Image processing applications such as image denoising, image segmentation, object detection, object recognition and texture synthesis often require a multi-scale analysis of images. This is… (more)

Subjects/Keywords: Nonparametric; Wavelet; Multiscale; Saliency

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APA (6th Edition):

Jain, A. (2012). Nonparametric Neighbourhood Based Multiscale Model for Image Analysis and Understanding. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6887

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):

Jain, Aanchal. “Nonparametric Neighbourhood Based Multiscale Model for Image Analysis and Understanding.” 2012. Thesis, University of Waterloo. Accessed May 08, 2021. http://hdl.handle.net/10012/6887.

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

MLA Handbook (7th Edition):

Jain, Aanchal. “Nonparametric Neighbourhood Based Multiscale Model for Image Analysis and Understanding.” 2012. Web. 08 May 2021.

Vancouver:

Jain A. Nonparametric Neighbourhood Based Multiscale Model for Image Analysis and Understanding. [Internet] [Thesis]. University of Waterloo; 2012. [cited 2021 May 08]. Available from: http://hdl.handle.net/10012/6887.

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

Council of Science Editors:

Jain A. Nonparametric Neighbourhood Based Multiscale Model for Image Analysis and Understanding. [Thesis]. University of Waterloo; 2012. Available from: http://hdl.handle.net/10012/6887

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


University of New South Wales

10. 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 May 08, 2021. 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. 08 May 2021.

Vancouver:

Li Z. Visual understanding by salient proto-objects. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2021 May 08]. 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


University of Manitoba

11. Kalash, Mahmoud. Saliency ranking using deep learning.

Degree: Computer Science, 2018, University of Manitoba

 Salient object detection is a problem that has been considered in detail and many solutions proposed. In this thesis, we argue that work to date… (more)

Subjects/Keywords: Deep Learning; Convolutional Neural Networks; Saliency Detection; Saliency Ranking

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APA (6th Edition):

Kalash, M. (2018). Saliency ranking using deep learning. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/33368

Chicago Manual of Style (16th Edition):

Kalash, Mahmoud. “Saliency ranking using deep learning.” 2018. Masters Thesis, University of Manitoba. Accessed May 08, 2021. http://hdl.handle.net/1993/33368.

MLA Handbook (7th Edition):

Kalash, Mahmoud. “Saliency ranking using deep learning.” 2018. Web. 08 May 2021.

Vancouver:

Kalash M. Saliency ranking using deep learning. [Internet] [Masters thesis]. University of Manitoba; 2018. [cited 2021 May 08]. Available from: http://hdl.handle.net/1993/33368.

Council of Science Editors:

Kalash M. Saliency ranking using deep learning. [Masters Thesis]. University of Manitoba; 2018. Available from: http://hdl.handle.net/1993/33368


Texas State University – San Marcos

12. Fang, Shaomin. Learning Image Saliency from Human Touch Behaviors.

Degree: MS, Computer Science, 2013, Texas State University – San Marcos

 The concept of touch saliency has recently been introduced as a possible alternative for eye tracking in usability studies. This touch saliency study shows that… (more)

Subjects/Keywords: Visual attention; Touch saliency; Image saliency; Touch behaviors

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APA (6th Edition):

Fang, S. (2013). Learning Image Saliency from Human Touch Behaviors. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/6271

Chicago Manual of Style (16th Edition):

Fang, Shaomin. “Learning Image Saliency from Human Touch Behaviors.” 2013. Masters Thesis, Texas State University – San Marcos. Accessed May 08, 2021. https://digital.library.txstate.edu/handle/10877/6271.

MLA Handbook (7th Edition):

Fang, Shaomin. “Learning Image Saliency from Human Touch Behaviors.” 2013. Web. 08 May 2021.

Vancouver:

Fang S. Learning Image Saliency from Human Touch Behaviors. [Internet] [Masters thesis]. Texas State University – San Marcos; 2013. [cited 2021 May 08]. Available from: https://digital.library.txstate.edu/handle/10877/6271.

Council of Science Editors:

Fang S. Learning Image Saliency from Human Touch Behaviors. [Masters Thesis]. Texas State University – San Marcos; 2013. Available from: https://digital.library.txstate.edu/handle/10877/6271


University of California – Riverside

13. Malur Srinivasan, Ramya. Investigating the Role of Saliency for Face Recognition.

Degree: Electrical Engineering, 2015, University of California – Riverside

 There has been enormous interest in developing automatic face recognition techniques. Be it for government use such as law enforcement, voter identification, surveillance and immigration,… (more)

Subjects/Keywords: Electrical engineering; Computer science; Face Recognition; Saliency

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APA (6th Edition):

Malur Srinivasan, R. (2015). Investigating the Role of Saliency for Face Recognition. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/9xz4d9fp

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):

Malur Srinivasan, Ramya. “Investigating the Role of Saliency for Face Recognition.” 2015. Thesis, University of California – Riverside. Accessed May 08, 2021. http://www.escholarship.org/uc/item/9xz4d9fp.

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

MLA Handbook (7th Edition):

Malur Srinivasan, Ramya. “Investigating the Role of Saliency for Face Recognition.” 2015. Web. 08 May 2021.

Vancouver:

Malur Srinivasan R. Investigating the Role of Saliency for Face Recognition. [Internet] [Thesis]. University of California – Riverside; 2015. [cited 2021 May 08]. Available from: http://www.escholarship.org/uc/item/9xz4d9fp.

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

Council of Science Editors:

Malur Srinivasan R. Investigating the Role of Saliency for Face Recognition. [Thesis]. University of California – Riverside; 2015. Available from: http://www.escholarship.org/uc/item/9xz4d9fp

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


San Jose State University

14. Smith, Chad Aaron. The Effects of Eccentricity and Saliency on Visual Attention in Avionic Displays.

Degree: MA, Psychology, 2018, San Jose State University

  The ability of pilots to divide their attention between multiple tasks is critical for aviation safety. Eccentricity and saliency are known visual perception factors… (more)

Subjects/Keywords: AVIONIC DISPLAYS; ECCENTRICITY; SALIENCY; VISUAL ATTENTION

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APA (6th Edition):

Smith, C. A. (2018). The Effects of Eccentricity and Saliency on Visual Attention in Avionic Displays. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.x724-2r8q ; https://scholarworks.sjsu.edu/etd_theses/4984

Chicago Manual of Style (16th Edition):

Smith, Chad Aaron. “The Effects of Eccentricity and Saliency on Visual Attention in Avionic Displays.” 2018. Masters Thesis, San Jose State University. Accessed May 08, 2021. https://doi.org/10.31979/etd.x724-2r8q ; https://scholarworks.sjsu.edu/etd_theses/4984.

MLA Handbook (7th Edition):

Smith, Chad Aaron. “The Effects of Eccentricity and Saliency on Visual Attention in Avionic Displays.” 2018. Web. 08 May 2021.

Vancouver:

Smith CA. The Effects of Eccentricity and Saliency on Visual Attention in Avionic Displays. [Internet] [Masters thesis]. San Jose State University; 2018. [cited 2021 May 08]. Available from: https://doi.org/10.31979/etd.x724-2r8q ; https://scholarworks.sjsu.edu/etd_theses/4984.

Council of Science Editors:

Smith CA. The Effects of Eccentricity and Saliency on Visual Attention in Avionic Displays. [Masters Thesis]. San Jose State University; 2018. Available from: https://doi.org/10.31979/etd.x724-2r8q ; https://scholarworks.sjsu.edu/etd_theses/4984


Victoria University of Wellington

15. Rahman, Ibrahim Mohammad Hussain. Visual attention strategies for target object detection.

Degree: 2018, Victoria University of Wellington

 The human visual attention system (HVA) encompasses a set of interconnected neurological modules that are responsible for analyzing visual stimuli by attending to those regions… (more)

Subjects/Keywords: Attention; Object detection; Saliency; Active vision

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APA (6th Edition):

Rahman, I. M. H. (2018). Visual attention strategies for target object detection. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/6925

Chicago Manual of Style (16th Edition):

Rahman, Ibrahim Mohammad Hussain. “Visual attention strategies for target object detection.” 2018. Doctoral Dissertation, Victoria University of Wellington. Accessed May 08, 2021. http://hdl.handle.net/10063/6925.

MLA Handbook (7th Edition):

Rahman, Ibrahim Mohammad Hussain. “Visual attention strategies for target object detection.” 2018. Web. 08 May 2021.

Vancouver:

Rahman IMH. Visual attention strategies for target object detection. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2018. [cited 2021 May 08]. Available from: http://hdl.handle.net/10063/6925.

Council of Science Editors:

Rahman IMH. Visual attention strategies for target object detection. [Doctoral Dissertation]. Victoria University of Wellington; 2018. Available from: http://hdl.handle.net/10063/6925


University of Sydney

16. Yan, Ke. Cognition-Aware Deep Learning Models for Saliency Detection .

Degree: 2020, University of Sydney

Saliency on an image is defined as the meaningful and attractive region corresponding to human visual perception and cognition systems. The detection of saliency is… (more)

Subjects/Keywords: saliency detection; deep neural networks; cognition

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APA (6th Edition):

Yan, K. (2020). Cognition-Aware Deep Learning Models for Saliency Detection . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/23712

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):

Yan, Ke. “Cognition-Aware Deep Learning Models for Saliency Detection .” 2020. Thesis, University of Sydney. Accessed May 08, 2021. http://hdl.handle.net/2123/23712.

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

MLA Handbook (7th Edition):

Yan, Ke. “Cognition-Aware Deep Learning Models for Saliency Detection .” 2020. Web. 08 May 2021.

Vancouver:

Yan K. Cognition-Aware Deep Learning Models for Saliency Detection . [Internet] [Thesis]. University of Sydney; 2020. [cited 2021 May 08]. Available from: http://hdl.handle.net/2123/23712.

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

Council of Science Editors:

Yan K. Cognition-Aware Deep Learning Models for Saliency Detection . [Thesis]. University of Sydney; 2020. Available from: http://hdl.handle.net/2123/23712

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


York University

17. Wloka, Calden Frank. An Evaluation of Saliency and Its Limits.

Degree: PhD, Computer Science, 2019, York University

 The field of computational saliency modelling has its origins in psychophysical studies of visual search and low-level attention, but over the years has heavily shifted… (more)

Subjects/Keywords: Psychology; Computer vision; Saliency; Attention; Eye movements

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

APA (6th Edition):

Wloka, C. F. (2019). An Evaluation of Saliency and Its Limits. (Doctoral Dissertation). York University. Retrieved from https://yorkspace.library.yorku.ca/xmlui/handle/10315/36782

Chicago Manual of Style (16th Edition):

Wloka, Calden Frank. “An Evaluation of Saliency and Its Limits.” 2019. Doctoral Dissertation, York University. Accessed May 08, 2021. https://yorkspace.library.yorku.ca/xmlui/handle/10315/36782.

MLA Handbook (7th Edition):

Wloka, Calden Frank. “An Evaluation of Saliency and Its Limits.” 2019. Web. 08 May 2021.

Vancouver:

Wloka CF. An Evaluation of Saliency and Its Limits. [Internet] [Doctoral dissertation]. York University; 2019. [cited 2021 May 08]. Available from: https://yorkspace.library.yorku.ca/xmlui/handle/10315/36782.

Council of Science Editors:

Wloka CF. An Evaluation of Saliency and Its Limits. [Doctoral Dissertation]. York University; 2019. Available from: https://yorkspace.library.yorku.ca/xmlui/handle/10315/36782


Universitat Autònoma de Barcelona

18. Murray, Naila. Predicting Saliency and Aesthetics in Images: A Bottom-up Perspective.

Degree: Departament de Ciències de la Computació, 2012, Universitat Autònoma de Barcelona

 This thesis investigates two different aspects of how an observer experiences a natural image: (i) where we look, namely, where attention is guided, and (ii)… (more)

Subjects/Keywords: Saliency; Visual aesthetics; bottom-up; Tecnologies; 51

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APA (6th Edition):

Murray, N. (2012). Predicting Saliency and Aesthetics in Images: A Bottom-up Perspective. (Thesis). Universitat Autònoma de Barcelona. Retrieved from http://hdl.handle.net/10803/117456

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):

Murray, Naila. “Predicting Saliency and Aesthetics in Images: A Bottom-up Perspective.” 2012. Thesis, Universitat Autònoma de Barcelona. Accessed May 08, 2021. http://hdl.handle.net/10803/117456.

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

MLA Handbook (7th Edition):

Murray, Naila. “Predicting Saliency and Aesthetics in Images: A Bottom-up Perspective.” 2012. Web. 08 May 2021.

Vancouver:

Murray N. Predicting Saliency and Aesthetics in Images: A Bottom-up Perspective. [Internet] [Thesis]. Universitat Autònoma de Barcelona; 2012. [cited 2021 May 08]. Available from: http://hdl.handle.net/10803/117456.

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

Council of Science Editors:

Murray N. Predicting Saliency and Aesthetics in Images: A Bottom-up Perspective. [Thesis]. Universitat Autònoma de Barcelona; 2012. Available from: http://hdl.handle.net/10803/117456

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


University of Manitoba

19. Fahimi, Ramin. Sequential selection, saliency and scanpaths.

Degree: Computer Science, 2018, University of Manitoba

 Visual saliency and eye movements have been well studied, mostly in the capacity of predicting topographical spatial saliency maps. In this thesis, we examine the… (more)

Subjects/Keywords: eye-tracking; Saliency; visual-attention; scanpath

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APA (6th Edition):

Fahimi, R. (2018). Sequential selection, saliency and scanpaths. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/33571

Chicago Manual of Style (16th Edition):

Fahimi, Ramin. “Sequential selection, saliency and scanpaths.” 2018. Masters Thesis, University of Manitoba. Accessed May 08, 2021. http://hdl.handle.net/1993/33571.

MLA Handbook (7th Edition):

Fahimi, Ramin. “Sequential selection, saliency and scanpaths.” 2018. Web. 08 May 2021.

Vancouver:

Fahimi R. Sequential selection, saliency and scanpaths. [Internet] [Masters thesis]. University of Manitoba; 2018. [cited 2021 May 08]. Available from: http://hdl.handle.net/1993/33571.

Council of Science Editors:

Fahimi R. Sequential selection, saliency and scanpaths. [Masters Thesis]. University of Manitoba; 2018. Available from: http://hdl.handle.net/1993/33571


University of Manitoba

20. Abdollahi, Arezoo. Predicting saliency by learning inpainting error.

Degree: Computer Science, 2019, University of Manitoba

 Understanding which parts of an image are most salient is an ongoing research problem in the field of computer vision. In this thesis, we consider… (more)

Subjects/Keywords: Saliency Prediction; Image Inpainting; Transfer learning

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

APA (6th Edition):

Abdollahi, A. (2019). Predicting saliency by learning inpainting error. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/34456

Chicago Manual of Style (16th Edition):

Abdollahi, Arezoo. “Predicting saliency by learning inpainting error.” 2019. Masters Thesis, University of Manitoba. Accessed May 08, 2021. http://hdl.handle.net/1993/34456.

MLA Handbook (7th Edition):

Abdollahi, Arezoo. “Predicting saliency by learning inpainting error.” 2019. Web. 08 May 2021.

Vancouver:

Abdollahi A. Predicting saliency by learning inpainting error. [Internet] [Masters thesis]. University of Manitoba; 2019. [cited 2021 May 08]. Available from: http://hdl.handle.net/1993/34456.

Council of Science Editors:

Abdollahi A. Predicting saliency by learning inpainting error. [Masters Thesis]. University of Manitoba; 2019. Available from: http://hdl.handle.net/1993/34456

21. XU JUAN. INVESTIGATING THE IMPORTANCE OF OBJECT AND SEMANTICS IN GAZE DEPLOYMENT : A DATASET AND ANALYSES.

Degree: 2014, National University of Singapore

Subjects/Keywords: computational model; dataset; object saliency; saliency attribute; semantic saliency; visual saliency

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

APA (6th Edition):

JUAN, X. (2014). INVESTIGATING THE IMPORTANCE OF OBJECT AND SEMANTICS IN GAZE DEPLOYMENT : A DATASET AND ANALYSES. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/107375

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):

JUAN, XU. “INVESTIGATING THE IMPORTANCE OF OBJECT AND SEMANTICS IN GAZE DEPLOYMENT : A DATASET AND ANALYSES.” 2014. Thesis, National University of Singapore. Accessed May 08, 2021. http://scholarbank.nus.edu.sg/handle/10635/107375.

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

MLA Handbook (7th Edition):

JUAN, XU. “INVESTIGATING THE IMPORTANCE OF OBJECT AND SEMANTICS IN GAZE DEPLOYMENT : A DATASET AND ANALYSES.” 2014. Web. 08 May 2021.

Vancouver:

JUAN X. INVESTIGATING THE IMPORTANCE OF OBJECT AND SEMANTICS IN GAZE DEPLOYMENT : A DATASET AND ANALYSES. [Internet] [Thesis]. National University of Singapore; 2014. [cited 2021 May 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/107375.

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

Council of Science Editors:

JUAN X. INVESTIGATING THE IMPORTANCE OF OBJECT AND SEMANTICS IN GAZE DEPLOYMENT : A DATASET AND ANALYSES. [Thesis]. National University of Singapore; 2014. Available from: http://scholarbank.nus.edu.sg/handle/10635/107375

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


University of Southern California

22. Parikh, Neha. Saliency based image processing to aid retinal prosthesis recipients.

Degree: PhD, Biomedical Engineering, 2011, University of Southern California

 Diseases like Retinitis Pigmentosa and Age-related Macular Degeneration result in a gradual and progressive loss of photoreceptors leading to blindness. A retinal prosthesis device imparts… (more)

Subjects/Keywords: saliency; retinal prosthesis; image processing; DSP

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

APA (6th Edition):

Parikh, N. (2011). Saliency based image processing to aid retinal prosthesis recipients. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/375101/rec/5678

Chicago Manual of Style (16th Edition):

Parikh, Neha. “Saliency based image processing to aid retinal prosthesis recipients.” 2011. Doctoral Dissertation, University of Southern California. Accessed May 08, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/375101/rec/5678.

MLA Handbook (7th Edition):

Parikh, Neha. “Saliency based image processing to aid retinal prosthesis recipients.” 2011. Web. 08 May 2021.

Vancouver:

Parikh N. Saliency based image processing to aid retinal prosthesis recipients. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2021 May 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/375101/rec/5678.

Council of Science Editors:

Parikh N. Saliency based image processing to aid retinal prosthesis recipients. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/375101/rec/5678


University of Southern California

23. Berg, David J. Spatiotemporal processing of saliency signals in the primate: a behavioral and neurophysiological investigation.

Degree: PhD, Neuroscience, 2014, University of Southern California

 To quickly locate and discriminate visual events important for an organisms survival is a complex task. The visual systems of mammals evolved specialized heuristics to… (more)

Subjects/Keywords: saliency; computational model; eye movements; attention; monkey

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APA (6th Edition):

Berg, D. J. (2014). Spatiotemporal processing of saliency signals in the primate: a behavioral and neurophysiological investigation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/250446/rec/5993

Chicago Manual of Style (16th Edition):

Berg, David J. “Spatiotemporal processing of saliency signals in the primate: a behavioral and neurophysiological investigation.” 2014. Doctoral Dissertation, University of Southern California. Accessed May 08, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/250446/rec/5993.

MLA Handbook (7th Edition):

Berg, David J. “Spatiotemporal processing of saliency signals in the primate: a behavioral and neurophysiological investigation.” 2014. Web. 08 May 2021.

Vancouver:

Berg DJ. Spatiotemporal processing of saliency signals in the primate: a behavioral and neurophysiological investigation. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2021 May 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/250446/rec/5993.

Council of Science Editors:

Berg DJ. Spatiotemporal processing of saliency signals in the primate: a behavioral and neurophysiological investigation. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/250446/rec/5993


York University

24. Wloka, Calden Frank. An Evaluation of Saliency and Its Limits.

Degree: PhD, Computer Science, 2019, York University

 The field of computational saliency modelling has its origins in psychophysical studies of visual search and low-level attention, but over the years has heavily shifted… (more)

Subjects/Keywords: Psychology; Computer vision; Saliency; Attention; Eye movements

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

APA (6th Edition):

Wloka, C. F. (2019). An Evaluation of Saliency and Its Limits. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/36782

Chicago Manual of Style (16th Edition):

Wloka, Calden Frank. “An Evaluation of Saliency and Its Limits.” 2019. Doctoral Dissertation, York University. Accessed May 08, 2021. http://hdl.handle.net/10315/36782.

MLA Handbook (7th Edition):

Wloka, Calden Frank. “An Evaluation of Saliency and Its Limits.” 2019. Web. 08 May 2021.

Vancouver:

Wloka CF. An Evaluation of Saliency and Its Limits. [Internet] [Doctoral dissertation]. York University; 2019. [cited 2021 May 08]. Available from: http://hdl.handle.net/10315/36782.

Council of Science Editors:

Wloka CF. An Evaluation of Saliency and Its Limits. [Doctoral Dissertation]. York University; 2019. Available from: http://hdl.handle.net/10315/36782


Boston University

25. Zhang, Jianming. Visual saliency computation for image analysis.

Degree: PhD, Computer Science, 2016, Boston University

 Visual saliency computation is about detecting and understanding salient regions and elements in a visual scene. Algorithms for visual saliency computation can give clues to… (more)

Subjects/Keywords: Computer science; Deep learning; Neural network; Saliency detection; Salient object detection; Subitizing; Top-down saliency

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

APA (6th Edition):

Zhang, J. (2016). Visual saliency computation for image analysis. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/19587

Chicago Manual of Style (16th Edition):

Zhang, Jianming. “Visual saliency computation for image analysis.” 2016. Doctoral Dissertation, Boston University. Accessed May 08, 2021. http://hdl.handle.net/2144/19587.

MLA Handbook (7th Edition):

Zhang, Jianming. “Visual saliency computation for image analysis.” 2016. Web. 08 May 2021.

Vancouver:

Zhang J. Visual saliency computation for image analysis. [Internet] [Doctoral dissertation]. Boston University; 2016. [cited 2021 May 08]. Available from: http://hdl.handle.net/2144/19587.

Council of Science Editors:

Zhang J. Visual saliency computation for image analysis. [Doctoral Dissertation]. Boston University; 2016. Available from: http://hdl.handle.net/2144/19587

26. NGUYEN VAN TAM. VISUAL SALIENCY ANALYSIS AND APPLICATIONS.

Degree: 2013, National University of Singapore

Subjects/Keywords: visual saliency; applications; dynamic saliency; static saliency; action recognition; image re-attentionizing

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

APA (6th Edition):

TAM, N. V. (2013). VISUAL SALIENCY ANALYSIS AND APPLICATIONS. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/48604

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):

TAM, NGUYEN VAN. “VISUAL SALIENCY ANALYSIS AND APPLICATIONS.” 2013. Thesis, National University of Singapore. Accessed May 08, 2021. http://scholarbank.nus.edu.sg/handle/10635/48604.

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

MLA Handbook (7th Edition):

TAM, NGUYEN VAN. “VISUAL SALIENCY ANALYSIS AND APPLICATIONS.” 2013. Web. 08 May 2021.

Vancouver:

TAM NV. VISUAL SALIENCY ANALYSIS AND APPLICATIONS. [Internet] [Thesis]. National University of Singapore; 2013. [cited 2021 May 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/48604.

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

Council of Science Editors:

TAM NV. VISUAL SALIENCY ANALYSIS AND APPLICATIONS. [Thesis]. National University of Singapore; 2013. Available from: http://scholarbank.nus.edu.sg/handle/10635/48604

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


Texas A&M University

27. Tsai, Chung-Chi. Image Co-Saliency Detection: Novel Approaches with Convex Optimization and Deep Neural Networks.

Degree: PhD, Electrical Engineering, 2018, Texas A&M University

 The advance of digital technologies has endowed people with easier access to massive collections of image or video data than ever before. For its capability… (more)

Subjects/Keywords: Co-saliency detection; co-segmentation; saliency detection; image segmentation; stacked autoencoder; reconstruction residual; adaptive fusion; optimization; self-paced learning; CNNs

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

APA (6th Edition):

Tsai, C. (2018). Image Co-Saliency Detection: Novel Approaches with Convex Optimization and Deep Neural Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173679

Chicago Manual of Style (16th Edition):

Tsai, Chung-Chi. “Image Co-Saliency Detection: Novel Approaches with Convex Optimization and Deep Neural Networks.” 2018. Doctoral Dissertation, Texas A&M University. Accessed May 08, 2021. http://hdl.handle.net/1969.1/173679.

MLA Handbook (7th Edition):

Tsai, Chung-Chi. “Image Co-Saliency Detection: Novel Approaches with Convex Optimization and Deep Neural Networks.” 2018. Web. 08 May 2021.

Vancouver:

Tsai C. Image Co-Saliency Detection: Novel Approaches with Convex Optimization and Deep Neural Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 May 08]. Available from: http://hdl.handle.net/1969.1/173679.

Council of Science Editors:

Tsai C. Image Co-Saliency Detection: Novel Approaches with Convex Optimization and Deep Neural Networks. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173679


Universitat Autònoma de Barcelona

28. Berga Garreta, David. Understanding eye movements: psychophysics and a model of primary visual cortex.

Degree: Departament de Ciències de la Computació, 2019, Universitat Autònoma de Barcelona

 In this thesis we try to explain (1) how we move our eyes, (2) how to build machines that understand visual information and deploy eye… (more)

Subjects/Keywords: Saliency; Saliencia; Saliency; Moviments oculars; Movimientos oculares; Eye movements; Escorça visual; Corteza visual; Visual cortex; Tecnologies; 004

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APA (6th Edition):

Berga Garreta, D. (2019). Understanding eye movements: psychophysics and a model of primary visual cortex. (Thesis). Universitat Autònoma de Barcelona. Retrieved from http://hdl.handle.net/10803/667901

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):

Berga Garreta, David. “Understanding eye movements: psychophysics and a model of primary visual cortex.” 2019. Thesis, Universitat Autònoma de Barcelona. Accessed May 08, 2021. http://hdl.handle.net/10803/667901.

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

MLA Handbook (7th Edition):

Berga Garreta, David. “Understanding eye movements: psychophysics and a model of primary visual cortex.” 2019. Web. 08 May 2021.

Vancouver:

Berga Garreta D. Understanding eye movements: psychophysics and a model of primary visual cortex. [Internet] [Thesis]. Universitat Autònoma de Barcelona; 2019. [cited 2021 May 08]. Available from: http://hdl.handle.net/10803/667901.

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

Council of Science Editors:

Berga Garreta D. Understanding eye movements: psychophysics and a model of primary visual cortex. [Thesis]. Universitat Autònoma de Barcelona; 2019. Available from: http://hdl.handle.net/10803/667901

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


Utah State University

29. Xu, Fei. Visual Saliency Estimation and Its Applications.

Degree: PhD, Computer Science, 2020, Utah State University

  The human visual system can automatically emphasize some parts of the image and ignore the other parts when seeing an image or a scene.… (more)

Subjects/Keywords: Visual Saliency Estimation; Tumor Saliency Estimation; Breast Anatomy Modeling; Semantic Breast Anatomy; Adaptive-center Bias; Computer Sciences

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

APA (6th Edition):

Xu, F. (2020). Visual Saliency Estimation and Its Applications. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7820

Chicago Manual of Style (16th Edition):

Xu, Fei. “Visual Saliency Estimation and Its Applications.” 2020. Doctoral Dissertation, Utah State University. Accessed May 08, 2021. https://digitalcommons.usu.edu/etd/7820.

MLA Handbook (7th Edition):

Xu, Fei. “Visual Saliency Estimation and Its Applications.” 2020. Web. 08 May 2021.

Vancouver:

Xu F. Visual Saliency Estimation and Its Applications. [Internet] [Doctoral dissertation]. Utah State University; 2020. [cited 2021 May 08]. Available from: https://digitalcommons.usu.edu/etd/7820.

Council of Science Editors:

Xu F. Visual Saliency Estimation and Its Applications. [Doctoral Dissertation]. Utah State University; 2020. Available from: https://digitalcommons.usu.edu/etd/7820

30. Ahmed, Boudissa. A Study on Saliency and Human Detection from an Image : 画像からの顕著領域と人物の検出に関する研究.

Degree: 博士(工学), 2017, Kyushu Institute of Technology / 九州工業大学

九州工業大学博士学位論文 学位記番号:工博甲第365号 学位授与年月日:平成26年3月25日

1. General Introduction|2. Saliency detection using combined spatial non-redundancy and local appearance|3. Human detection using LBP-based patterns of oriented edges|4. General Conclusion|5. Appendices

平成25年度

Advisors/Committee Members: 石川, 聖二.

Subjects/Keywords: Saliency; Object detection; Information maximization; Entropy; Car vision

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APA (6th Edition):

Ahmed, B. (2017). A Study on Saliency and Human Detection from an Image : 画像からの顕著領域と人物の検出に関する研究. (Thesis). Kyushu Institute of Technology / 九州工業大学. Retrieved from http://hdl.handle.net/10228/5293

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):

Ahmed, Boudissa. “A Study on Saliency and Human Detection from an Image : 画像からの顕著領域と人物の検出に関する研究.” 2017. Thesis, Kyushu Institute of Technology / 九州工業大学. Accessed May 08, 2021. http://hdl.handle.net/10228/5293.

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

MLA Handbook (7th Edition):

Ahmed, Boudissa. “A Study on Saliency and Human Detection from an Image : 画像からの顕著領域と人物の検出に関する研究.” 2017. Web. 08 May 2021.

Vancouver:

Ahmed B. A Study on Saliency and Human Detection from an Image : 画像からの顕著領域と人物の検出に関する研究. [Internet] [Thesis]. Kyushu Institute of Technology / 九州工業大学; 2017. [cited 2021 May 08]. Available from: http://hdl.handle.net/10228/5293.

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

Council of Science Editors:

Ahmed B. A Study on Saliency and Human Detection from an Image : 画像からの顕著領域と人物の検出に関する研究. [Thesis]. Kyushu Institute of Technology / 九州工業大学; 2017. Available from: http://hdl.handle.net/10228/5293

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

[1] [2] [3] [4] [5] [6] [7] [8]

.