Article

Perceptual video compression with combined scene analysis and eye-gaze tracking

Authors:

Javed Khan,

Oleg KomogortsevAuthors Info & Claims

ETRA '04: Proceedings of the 2004 symposium on Eye tracking research & applications

Page 57

https://doi.org/10.1145/968363.968374

Published: 22 March 2004 Publication History

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Abstract

No abstract available.

References

[1]

J. KHAN, O. KOMOGORTSEV. 2002. Dynamic Gaze Span Window-based Foveation for Perceptual Media Streaming. Technical Report TR2002-11-01, Kent State University, {available at URL http://bristi.facnet.mcs.kent.edu/medianet}.

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[2]

J. KHAN and Z. GUO. 2003. Flock-of-Bird Algorithm for Fast Motion Based Object Tracking and Transcoding in Video Streaming. In The 13th IEEE International Packet Video Workshop 2003, Nantes, France.

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Cited By

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Krupiński RMazurek P(2012)Estimation of Electrooculography and Blinking Signals Based on Filter BanksProceedings of the International Conference on Computer Vision and Graphics - Volume 759410.5555/2942031.2942051(156-163)Online publication date: 24-Sep-2012
https://dl.acm.org/doi/10.5555/2942031.2942051
Krupiński RMazurek P(2012)Estimation of Electrooculography and Blinking Signals Based on Filter BanksComputer Vision and Graphics10.1007/978-3-642-33564-8_19(156-163)Online publication date: 2012
https://doi.org/10.1007/978-3-642-33564-8_19
Krupiński RMazurek P(2010)Towards to real-time system with optimization based approach for EOG and blinking signals separation for human computer interactionProceedings of the 12th international conference on Computers helping people with special needs: Part I10.5555/1886667.1886696(154-161)Online publication date: 14-Jul-2010
https://dl.acm.org/doi/10.5555/1886667.1886696
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Index Terms

Perceptual video compression with combined scene analysis and eye-gaze tracking
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Tracking
      2. Computer vision tasks
        Scene understanding
        Video summarization
  2. Computer graphics
    1. Image compression
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens

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Published In

ETRA '04: Proceedings of the 2004 symposium on Eye tracking research & applications

March 2004

154 pages

ISBN:1581138253

DOI:10.1145/968363

Conference Chairs:
Andrew T. Duchowski
Clemson University
,
Roel Vertegaal
Queens University, Canada

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 March 2004

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ETRA04

Sponsor:

ETRA04: Eye Tracking Research and Applications 2004

March 22 - 24, 2004

Texas, San Antonio

Acceptance Rates

ETRA '04 Paper Acceptance Rate 18 of 40 submissions, 45%;

Overall Acceptance Rate 69 of 137 submissions, 50%

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Cited By

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Krupiński RMazurek P(2012)Estimation of Electrooculography and Blinking Signals Based on Filter BanksProceedings of the International Conference on Computer Vision and Graphics - Volume 759410.5555/2942031.2942051(156-163)Online publication date: 24-Sep-2012
https://dl.acm.org/doi/10.5555/2942031.2942051
Krupiński RMazurek P(2012)Estimation of Electrooculography and Blinking Signals Based on Filter BanksComputer Vision and Graphics10.1007/978-3-642-33564-8_19(156-163)Online publication date: 2012
https://doi.org/10.1007/978-3-642-33564-8_19
Krupiński RMazurek P(2010)Towards to real-time system with optimization based approach for EOG and blinking signals separation for human computer interactionProceedings of the 12th international conference on Computers helping people with special needs: Part I10.5555/1886667.1886696(154-161)Online publication date: 14-Jul-2010
https://dl.acm.org/doi/10.5555/1886667.1886696
Krupiński RMazurek P(2010)Electrooculography Signal Estimation by Using Evolution–Based Technique for Computer Animation ApplicationsComputer Vision and Graphics10.1007/978-3-642-15910-7_16(139-146)Online publication date: 2010
https://doi.org/10.1007/978-3-642-15910-7_16
Krupiński RMazurek P(2010)Towards to Real–Time System with Optimization Based Approach for EOG and Blinking Signals Separation for Human Computer InteractionComputers Helping People with Special Needs10.1007/978-3-642-14097-6_26(154-161)Online publication date: 2010
https://doi.org/10.1007/978-3-642-14097-6_26
Krupiński RMazurek P(2010)Convergence Improving in Evolution–Based Technique for Estimation and Separation of Electrooculography and Blinking SignalsInformation Technologies in Biomedicine10.1007/978-3-642-13105-9_30(293-302)Online publication date: 2010
https://doi.org/10.1007/978-3-642-13105-9_30

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Eye gaze tracking using an RGBD camera: a comparison with a RGB solution

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