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You searched for +publisher:"Georgia Tech" +contributor:("Barnes, Christopher"). Showing records 1 – 11 of 11 total matches.

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Georgia Tech

1. Raza, Syed H. Temporally consistent semantic segmentation in videos.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 The objective of this Thesis research is to develop algorithms for temporally consistent semantic segmentation in videos. Though many different forms of semantic segmentations exist,… (more)

Subjects/Keywords: Semantic segmentation; Temporal consistency; Causality; Videos; Occlusion boundaries; Depth estimation

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APA (6th Edition):

Raza, S. H. (2014). Temporally consistent semantic segmentation in videos. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53455

Chicago Manual of Style (16th Edition):

Raza, Syed H. “Temporally consistent semantic segmentation in videos.” 2014. Doctoral Dissertation, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/53455.

MLA Handbook (7th Edition):

Raza, Syed H. “Temporally consistent semantic segmentation in videos.” 2014. Web. 01 Dec 2020.

Vancouver:

Raza SH. Temporally consistent semantic segmentation in videos. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/53455.

Council of Science Editors:

Raza SH. Temporally consistent semantic segmentation in videos. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53455


Georgia Tech

2. Sharma, Yachna. Surgical skill assessment using motion texture analysis.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 In this thesis, we propose a framework for automated assessment of surgical skills to expedite the manual assessment process and to provide unbiased evaluations with… (more)

Subjects/Keywords: Surgery; Skill; Classification; Prediction; Motion texture; Surgeons Rating of; Motion; Motor ability; Tactile sensors; Algorithms

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APA (6th Edition):

Sharma, Y. (2014). Surgical skill assessment using motion texture analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51890

Chicago Manual of Style (16th Edition):

Sharma, Yachna. “Surgical skill assessment using motion texture analysis.” 2014. Doctoral Dissertation, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/51890.

MLA Handbook (7th Edition):

Sharma, Yachna. “Surgical skill assessment using motion texture analysis.” 2014. Web. 01 Dec 2020.

Vancouver:

Sharma Y. Surgical skill assessment using motion texture analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/51890.

Council of Science Editors:

Sharma Y. Surgical skill assessment using motion texture analysis. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51890


Georgia Tech

3. Paulus, Audrey S. Improved target detection through extended-dwell, multichannel radar.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 The detection of weak, ground-moving targets can be improved through effective utilization of additional target signal energy collected over an extended dwell time. The signal… (more)

Subjects/Keywords: Target detection; Multichannel radar; Ground moving target indication; Radar signal processing; Space-time-adaptive processing

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APA (6th Edition):

Paulus, A. S. (2014). Improved target detection through extended-dwell, multichannel radar. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54279

Chicago Manual of Style (16th Edition):

Paulus, Audrey S. “Improved target detection through extended-dwell, multichannel radar.” 2014. Doctoral Dissertation, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/54279.

MLA Handbook (7th Edition):

Paulus, Audrey S. “Improved target detection through extended-dwell, multichannel radar.” 2014. Web. 01 Dec 2020.

Vancouver:

Paulus AS. Improved target detection through extended-dwell, multichannel radar. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/54279.

Council of Science Editors:

Paulus AS. Improved target detection through extended-dwell, multichannel radar. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54279

4. Wong, Lok S. Optimal partitions for the fast multipole method.

Degree: MS, Electrical and Computer Engineering, 2016, Georgia Tech

 The fast multipole method is an algorithm first developed to approximately solve the N-body problem in linear time. Part of the FMM involves recursively partitioning… (more)

Subjects/Keywords: Fast multipole method; Partition

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APA (6th Edition):

Wong, L. S. (2016). Optimal partitions for the fast multipole method. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56360

Chicago Manual of Style (16th Edition):

Wong, Lok S. “Optimal partitions for the fast multipole method.” 2016. Masters Thesis, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/56360.

MLA Handbook (7th Edition):

Wong, Lok S. “Optimal partitions for the fast multipole method.” 2016. Web. 01 Dec 2020.

Vancouver:

Wong LS. Optimal partitions for the fast multipole method. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/56360.

Council of Science Editors:

Wong LS. Optimal partitions for the fast multipole method. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56360

5. Turnes, Christopher Kowalczyk. Efficient solutions to Toeplitz-structured linear systems for signal processing.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 This research develops efficient solution methods for linear systems with scalar and multi-level Toeplitz structure. Toeplitz systems are common in one-dimensional signal-processing applications, and typically… (more)

Subjects/Keywords: Multi-level toeplitz; Superfast algorithms; Structured linear algebra; Toeplitz inversion; Digital resampling; Non-uniform FFTs; 3-D MRI; Signal processing; Toeplitz matrices; Algorithms

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APA (6th Edition):

Turnes, C. K. (2014). Efficient solutions to Toeplitz-structured linear systems for signal processing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51878

Chicago Manual of Style (16th Edition):

Turnes, Christopher Kowalczyk. “Efficient solutions to Toeplitz-structured linear systems for signal processing.” 2014. Doctoral Dissertation, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/51878.

MLA Handbook (7th Edition):

Turnes, Christopher Kowalczyk. “Efficient solutions to Toeplitz-structured linear systems for signal processing.” 2014. Web. 01 Dec 2020.

Vancouver:

Turnes CK. Efficient solutions to Toeplitz-structured linear systems for signal processing. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/51878.

Council of Science Editors:

Turnes CK. Efficient solutions to Toeplitz-structured linear systems for signal processing. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51878

6. Palaniappan, Ramanathan. Scalable video communications: bitstream extraction algorithms for streaming, conferencing and 3DTV.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

 This research investigates scalable video communications and its applications to video streaming, conferencing and 3DTV. Scalable video coding (SVC) is a layer-based encoding scheme that… (more)

Subjects/Keywords: Stereoscopic perception; 3DTV; Video conferencing; Bitstream extraction; Video streaming; Scalable video coding; Video quality; Videoconferencing; Video compression; Digital video; Streaming video; 3-D television

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APA (6th Edition):

Palaniappan, R. (2011). Scalable video communications: bitstream extraction algorithms for streaming, conferencing and 3DTV. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/42732

Chicago Manual of Style (16th Edition):

Palaniappan, Ramanathan. “Scalable video communications: bitstream extraction algorithms for streaming, conferencing and 3DTV.” 2011. Doctoral Dissertation, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/42732.

MLA Handbook (7th Edition):

Palaniappan, Ramanathan. “Scalable video communications: bitstream extraction algorithms for streaming, conferencing and 3DTV.” 2011. Web. 01 Dec 2020.

Vancouver:

Palaniappan R. Scalable video communications: bitstream extraction algorithms for streaming, conferencing and 3DTV. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/42732.

Council of Science Editors:

Palaniappan R. Scalable video communications: bitstream extraction algorithms for streaming, conferencing and 3DTV. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/42732

7. Aslam, Salman Muhammad. Target tracking using residual vector quantization.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

 In this work, our goal is to track visual targets using residual vector quantization (RVQ). We compare our results with principal components analysis (PCA) and… (more)

Subjects/Keywords: Visual tracking; RVQ; Tree structured vector quantization; PCA; Principal components analysis; TSVQ; Computer vision; Residual vector quantization; Image processing; Imaging systems; Computer graphics; Image processing Digital techniques

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APA (6th Edition):

Aslam, S. M. (2011). Target tracking using residual vector quantization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/42883

Chicago Manual of Style (16th Edition):

Aslam, Salman Muhammad. “Target tracking using residual vector quantization.” 2011. Doctoral Dissertation, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/42883.

MLA Handbook (7th Edition):

Aslam, Salman Muhammad. “Target tracking using residual vector quantization.” 2011. Web. 01 Dec 2020.

Vancouver:

Aslam SM. Target tracking using residual vector quantization. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/42883.

Council of Science Editors:

Aslam SM. Target tracking using residual vector quantization. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/42883

8. Alshawi, Tariq. Uncertainty estimation of visual attention models using spatiotemporal analysis.

Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech

 In this dissertation, we analyze eye tracking data and video content to discover general patterns of human visual attention that can be used for estimating… (more)

Subjects/Keywords: Uncertainty; Saliency; Video processing

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APA (6th Edition):

Alshawi, T. (2018). Uncertainty estimation of visual attention models using spatiotemporal analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60217

Chicago Manual of Style (16th Edition):

Alshawi, Tariq. “Uncertainty estimation of visual attention models using spatiotemporal analysis.” 2018. Doctoral Dissertation, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/60217.

MLA Handbook (7th Edition):

Alshawi, Tariq. “Uncertainty estimation of visual attention models using spatiotemporal analysis.” 2018. Web. 01 Dec 2020.

Vancouver:

Alshawi T. Uncertainty estimation of visual attention models using spatiotemporal analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/60217.

Council of Science Editors:

Alshawi T. Uncertainty estimation of visual attention models using spatiotemporal analysis. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60217


Georgia Tech

9. Wortham, Cody. Space-Time Processing for Ground Surveillance Radar.

Degree: MS, Electrical and Computer Engineering, 2007, Georgia Tech

 As the size of an adaptive antenna array grows, the system is able to resist interference signals of increasing bandwidth. This is a result of… (more)

Subjects/Keywords: Adaptive; Radar; Surveillance; Array; STAP; Countermeasures; Space-time; Jamming; ECM; Tapped-delay; ECCM; Surveillance radar; Antenna arrays; Adaptive signal processing; Adaptive antennas Computer simulation

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APA (6th Edition):

Wortham, C. (2007). Space-Time Processing for Ground Surveillance Radar. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14468

Chicago Manual of Style (16th Edition):

Wortham, Cody. “Space-Time Processing for Ground Surveillance Radar.” 2007. Masters Thesis, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/14468.

MLA Handbook (7th Edition):

Wortham, Cody. “Space-Time Processing for Ground Surveillance Radar.” 2007. Web. 01 Dec 2020.

Vancouver:

Wortham C. Space-Time Processing for Ground Surveillance Radar. [Internet] [Masters thesis]. Georgia Tech; 2007. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/14468.

Council of Science Editors:

Wortham C. Space-Time Processing for Ground Surveillance Radar. [Masters Thesis]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/14468


Georgia Tech

10. Yoo, Jeseon. Nonlinear Bathymetry Inversion Based on Wave Property Estimation from Nearshore Video Imagery.

Degree: PhD, Civil and Environmental Engineering, 2007, Georgia Tech

 Video based remote sensing techniques are well suited to collect spatially resolved wave images in the surf zone with breaking waves and dynamic bathymetric changes.… (more)

Subjects/Keywords: Surf zone; Wave breaking; Wave celerity; Nonlinear depth inversion; Wave property estimation; Video imagery; Submarine topography; Remote sensing; Ocean waves; Image processing; Video recordings

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APA (6th Edition):

Yoo, J. (2007). Nonlinear Bathymetry Inversion Based on Wave Property Estimation from Nearshore Video Imagery. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/19793

Chicago Manual of Style (16th Edition):

Yoo, Jeseon. “Nonlinear Bathymetry Inversion Based on Wave Property Estimation from Nearshore Video Imagery.” 2007. Doctoral Dissertation, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/19793.

MLA Handbook (7th Edition):

Yoo, Jeseon. “Nonlinear Bathymetry Inversion Based on Wave Property Estimation from Nearshore Video Imagery.” 2007. Web. 01 Dec 2020.

Vancouver:

Yoo J. Nonlinear Bathymetry Inversion Based on Wave Property Estimation from Nearshore Video Imagery. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/19793.

Council of Science Editors:

Yoo J. Nonlinear Bathymetry Inversion Based on Wave Property Estimation from Nearshore Video Imagery. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/19793


Georgia Tech

11. Melonakos, John. Geodesic tractography segmentation for directional medical image analysis.

Degree: PhD, Electrical and Computer Engineering, 2008, Georgia Tech

 Geodesic Tractography Segmentation is the two component approach presented in this thesis for the analysis of imagery in oriented domains, with emphasis on the application… (more)

Subjects/Keywords: Medical image analysis; MRI; Tractography; Image processing; Diagnostic imaging; Geodesics (Mathematics); Geodesic flows

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APA (6th Edition):

Melonakos, J. (2008). Geodesic tractography segmentation for directional medical image analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/28139

Chicago Manual of Style (16th Edition):

Melonakos, John. “Geodesic tractography segmentation for directional medical image analysis.” 2008. Doctoral Dissertation, Georgia Tech. Accessed December 01, 2020. http://hdl.handle.net/1853/28139.

MLA Handbook (7th Edition):

Melonakos, John. “Geodesic tractography segmentation for directional medical image analysis.” 2008. Web. 01 Dec 2020.

Vancouver:

Melonakos J. Geodesic tractography segmentation for directional medical image analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1853/28139.

Council of Science Editors:

Melonakos J. Geodesic tractography segmentation for directional medical image analysis. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/28139

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