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You searched for +publisher:"Georgia Tech" +contributor:("Mersereau, Russell"). Showing records 1 – 8 of 8 total matches.

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Georgia Tech

1. Tian, Dihong. Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability.

Degree: PhD, Electrical and Computer Engineering, 2006, Georgia Tech

 Distributed three-dimensional (3D) graphics applications exhibit both resemblance and uniqueness in comparison with conventional streaming media applications. The resemblance relates to the large data volume… (more)

Subjects/Keywords: Multimedia; Multi-resolution compression; Source and channel coding; Error resilience; Rate-distortion optimization

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APA (6th Edition):

Tian, D. (2006). Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14081

Chicago Manual of Style (16th Edition):

Tian, Dihong. “Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability.” 2006. Doctoral Dissertation, Georgia Tech. Accessed October 18, 2019. http://hdl.handle.net/1853/14081.

MLA Handbook (7th Edition):

Tian, Dihong. “Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability.” 2006. Web. 18 Oct 2019.

Vancouver:

Tian D. Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1853/14081.

Council of Science Editors:

Tian D. Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/14081


Georgia Tech

2. Candan, Cagatay. Minimum Distortion Data Hiding for Compressed Images.

Degree: PhD, Electrical and Computer Engineering, 2004, Georgia Tech

 We present a novel data hiding method for compressed images. The method is designed to minimize the quality loss associated with data embedding into a… (more)

Subjects/Keywords: Image processing; Data hiding; JPEG compression

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APA (6th Edition):

Candan, C. (2004). Minimum Distortion Data Hiding for Compressed Images. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/5140

Chicago Manual of Style (16th Edition):

Candan, Cagatay. “Minimum Distortion Data Hiding for Compressed Images.” 2004. Doctoral Dissertation, Georgia Tech. Accessed October 18, 2019. http://hdl.handle.net/1853/5140.

MLA Handbook (7th Edition):

Candan, Cagatay. “Minimum Distortion Data Hiding for Compressed Images.” 2004. Web. 18 Oct 2019.

Vancouver:

Candan C. Minimum Distortion Data Hiding for Compressed Images. [Internet] [Doctoral dissertation]. Georgia Tech; 2004. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1853/5140.

Council of Science Editors:

Candan C. Minimum Distortion Data Hiding for Compressed Images. [Doctoral Dissertation]. Georgia Tech; 2004. Available from: http://hdl.handle.net/1853/5140


Georgia Tech

3. Robie, David Lee. Error Correction and Concealment of Bock Based, Motion-Compensated Temporal Predition, Transform Coded Video.

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

 Error Correction and Concealment of Block Based, Motion-Compensated Temporal Prediction, Transform Coded Video David L. Robie 133 Pages Directed by Dr. Russell M. Mersereau The… (more)

Subjects/Keywords: MPEG-2; Error correction; Error concealment; Rate distortion coding; MPEG2; MPEG; Steganography; Forward correction information; Joint source channel coding

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APA (6th Edition):

Robie, D. L. (2005). Error Correction and Concealment of Bock Based, Motion-Compensated Temporal Predition, Transform Coded Video. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7101

Chicago Manual of Style (16th Edition):

Robie, David Lee. “Error Correction and Concealment of Bock Based, Motion-Compensated Temporal Predition, Transform Coded Video.” 2005. Doctoral Dissertation, Georgia Tech. Accessed October 18, 2019. http://hdl.handle.net/1853/7101.

MLA Handbook (7th Edition):

Robie, David Lee. “Error Correction and Concealment of Bock Based, Motion-Compensated Temporal Predition, Transform Coded Video.” 2005. Web. 18 Oct 2019.

Vancouver:

Robie DL. Error Correction and Concealment of Bock Based, Motion-Compensated Temporal Predition, Transform Coded Video. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1853/7101.

Council of Science Editors:

Robie DL. Error Correction and Concealment of Bock Based, Motion-Compensated Temporal Predition, Transform Coded Video. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7101


Georgia Tech

4. Abufadel, Amer Y. 4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors.

Degree: PhD, Electrical and Computer Engineering, 2006, Georgia Tech

 This dissertation presents a fully automatic segmentation algorithm for cardiac MR data. Some of the currently published methods are automatic, but they only work well… (more)

Subjects/Keywords: Shape priors; 4D segmentation; Level sets; Confidence labels; Imaging systems in medicine; Magnetic resonance imaging; Diagnostic imaging; Image processing

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APA (6th Edition):

Abufadel, A. Y. (2006). 4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14005

Chicago Manual of Style (16th Edition):

Abufadel, Amer Y. “4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors.” 2006. Doctoral Dissertation, Georgia Tech. Accessed October 18, 2019. http://hdl.handle.net/1853/14005.

MLA Handbook (7th Edition):

Abufadel, Amer Y. “4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors.” 2006. Web. 18 Oct 2019.

Vancouver:

Abufadel AY. 4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1853/14005.

Council of Science Editors:

Abufadel AY. 4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/14005


Georgia Tech

5. Begen, Ali C. Enhancing the Multimedia Experience in Emerging Networks.

Degree: PhD, Electrical and Computer Engineering, 2006, Georgia Tech

 As multimedia processing and networking technologies, products and services evolve, the number of users communicating, collaborating and entertaining over the IP networks is growing rapidly.… (more)

Subjects/Keywords: Voice over IP; Multimedia networking; Video technologies; Transport protocols; Error control; Streaming

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APA (6th Edition):

Begen, A. C. (2006). Enhancing the Multimedia Experience in Emerging Networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14010

Chicago Manual of Style (16th Edition):

Begen, Ali C. “Enhancing the Multimedia Experience in Emerging Networks.” 2006. Doctoral Dissertation, Georgia Tech. Accessed October 18, 2019. http://hdl.handle.net/1853/14010.

MLA Handbook (7th Edition):

Begen, Ali C. “Enhancing the Multimedia Experience in Emerging Networks.” 2006. Web. 18 Oct 2019.

Vancouver:

Begen AC. Enhancing the Multimedia Experience in Emerging Networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1853/14010.

Council of Science Editors:

Begen AC. Enhancing the Multimedia Experience in Emerging Networks. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/14010


Georgia Tech

6. Glotzbach, John William. A Color Filter Array Interpolation Method Based on Sampling Theory.

Degree: PhD, Electrical and Computer Engineering, 2004, Georgia Tech

 Digital cameras use a single image sensor array with a color filter array (CFA) to measure a color image. Instead of measuring a red, green,… (more)

Subjects/Keywords: Sampling; Aliasing; Digital signal processing; Color image processing; Color filter array; Image interpolation

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APA (6th Edition):

Glotzbach, J. W. (2004). A Color Filter Array Interpolation Method Based on Sampling Theory. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/4785

Chicago Manual of Style (16th Edition):

Glotzbach, John William. “A Color Filter Array Interpolation Method Based on Sampling Theory.” 2004. Doctoral Dissertation, Georgia Tech. Accessed October 18, 2019. http://hdl.handle.net/1853/4785.

MLA Handbook (7th Edition):

Glotzbach, John William. “A Color Filter Array Interpolation Method Based on Sampling Theory.” 2004. Web. 18 Oct 2019.

Vancouver:

Glotzbach JW. A Color Filter Array Interpolation Method Based on Sampling Theory. [Internet] [Doctoral dissertation]. Georgia Tech; 2004. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1853/4785.

Council of Science Editors:

Glotzbach JW. A Color Filter Array Interpolation Method Based on Sampling Theory. [Doctoral Dissertation]. Georgia Tech; 2004. Available from: http://hdl.handle.net/1853/4785


Georgia Tech

7. Bahceci, Israfil. Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection.

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

 This dissertation studies a number of important issues that arise in multiple-input multiple-out wireless systems. First, wireless systems equipped with multiple-transmit multiple-receive antennas are considered… (more)

Subjects/Keywords: MIMO systems; Multiple description codes; Performance bounds; Antenna selection; Relay channel; Turbo codes; Distributed detection; Wireless networks; Sensor networks

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

APA (6th Edition):

Bahceci, I. (2005). Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7480

Chicago Manual of Style (16th Edition):

Bahceci, Israfil. “Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection.” 2005. Doctoral Dissertation, Georgia Tech. Accessed October 18, 2019. http://hdl.handle.net/1853/7480.

MLA Handbook (7th Edition):

Bahceci, Israfil. “Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection.” 2005. Web. 18 Oct 2019.

Vancouver:

Bahceci I. Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1853/7480.

Council of Science Editors:

Bahceci I. Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7480


Georgia Tech

8. Farrell, Michael D., Jr. Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery.

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

 Whenever a new sensor or system comes online, engineers and analysts responsible for processing the measured data turn first to methods that are tried and… (more)

Subjects/Keywords: Covariance contamination; Dimension reduction; Hyperspectral imaging; Image processing Digital techniques; Land mines; Remote sensing; Target detection

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APA (6th Edition):

Farrell, Michael D., J. (2005). Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7505

Chicago Manual of Style (16th Edition):

Farrell, Michael D., Jr. “Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery.” 2005. Doctoral Dissertation, Georgia Tech. Accessed October 18, 2019. http://hdl.handle.net/1853/7505.

MLA Handbook (7th Edition):

Farrell, Michael D., Jr. “Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery.” 2005. Web. 18 Oct 2019.

Vancouver:

Farrell, Michael D. J. Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1853/7505.

Council of Science Editors:

Farrell, Michael D. J. Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7505

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