3-D model assisted facial error concealment technique using regenerative particle filter based tracking

Tathagata Chakraborti; Abhronil Sengupta; Abhishek Midya; Amit Konar; Somnath Sengupta

doi:10.1109/ICMEW.2013.6618324

3-D model assisted facial error concealment technique using regenerative particle filter based tracking

Tathagata Chakraborti, Abhronil Sengupta, Abhishek Midya, Amit Konar, Somnath Sengupta

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

This paper proposes a novel approach for error concealment in corrupted frames, using the Candide 3.0 face model. In head and shoulder video sequences, for example in live chats and video conferencing, error concealment performance may be improved using methods that are specifically designed to handle the structural details of the human face. The proposed approach uses perspective projection to adapt the model onto the face in the video and then performs tracking using regenerative particle filters. The pixel information from past frames is transformed into the current (corrupted) frame through this model. The simulation results are promising.

Original language	English (US)
Title of host publication	Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
DOIs	https://doi.org/10.1109/ICMEW.2013.6618324
State	Published - 2013
Event	2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013 - San Jose, CA, United States Duration: Jul 15 2013 → Jul 19 2013

Publication series

Name	Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013

Conference

Conference	2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
Country/Territory	United States
City	San Jose, CA
Period	7/15/13 → 7/19/13

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition

Access to Document

10.1109/ICMEW.2013.6618324

Cite this

Chakraborti, T., Sengupta, A., Midya, A., Konar, A., & Sengupta, S. (2013). 3-D model assisted facial error concealment technique using regenerative particle filter based tracking. In Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013 [6618324] (Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013). https://doi.org/10.1109/ICMEW.2013.6618324

Chakraborti, Tathagata ; Sengupta, Abhronil ; Midya, Abhishek ; Konar, Amit ; Sengupta, Somnath. / 3-D model assisted facial error concealment technique using regenerative particle filter based tracking. Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013. 2013. (Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013).

@inproceedings{e90a14d97c5f48669ed92b2c5dc4eddc,

title = "3-D model assisted facial error concealment technique using regenerative particle filter based tracking",

abstract = "This paper proposes a novel approach for error concealment in corrupted frames, using the Candide 3.0 face model. In head and shoulder video sequences, for example in live chats and video conferencing, error concealment performance may be improved using methods that are specifically designed to handle the structural details of the human face. The proposed approach uses perspective projection to adapt the model onto the face in the video and then performs tracking using regenerative particle filters. The pixel information from past frames is transformed into the current (corrupted) frame through this model. The simulation results are promising.",

author = "Tathagata Chakraborti and Abhronil Sengupta and Abhishek Midya and Amit Konar and Somnath Sengupta",

year = "2013",

doi = "10.1109/ICMEW.2013.6618324",

language = "English (US)",

isbn = "9781479916047",

series = "Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013",

booktitle = "Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013",

note = "2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013 ; Conference date: 15-07-2013 Through 19-07-2013",

}

Chakraborti, T, Sengupta, A, Midya, A, Konar, A & Sengupta, S 2013, 3-D model assisted facial error concealment technique using regenerative particle filter based tracking. in Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013., 6618324, Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013, San Jose, CA, United States, 7/15/13. https://doi.org/10.1109/ICMEW.2013.6618324

3-D model assisted facial error concealment technique using regenerative particle filter based tracking. / Chakraborti, Tathagata; Sengupta, Abhronil; Midya, Abhishek; Konar, Amit; Sengupta, Somnath.

Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013. 2013. 6618324 (Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - 3-D model assisted facial error concealment technique using regenerative particle filter based tracking

AU - Chakraborti, Tathagata

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AU - Konar, Amit

AU - Sengupta, Somnath

PY - 2013

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N2 - This paper proposes a novel approach for error concealment in corrupted frames, using the Candide 3.0 face model. In head and shoulder video sequences, for example in live chats and video conferencing, error concealment performance may be improved using methods that are specifically designed to handle the structural details of the human face. The proposed approach uses perspective projection to adapt the model onto the face in the video and then performs tracking using regenerative particle filters. The pixel information from past frames is transformed into the current (corrupted) frame through this model. The simulation results are promising.

AB - This paper proposes a novel approach for error concealment in corrupted frames, using the Candide 3.0 face model. In head and shoulder video sequences, for example in live chats and video conferencing, error concealment performance may be improved using methods that are specifically designed to handle the structural details of the human face. The proposed approach uses perspective projection to adapt the model onto the face in the video and then performs tracking using regenerative particle filters. The pixel information from past frames is transformed into the current (corrupted) frame through this model. The simulation results are promising.

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M3 - Conference contribution

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Chakraborti T, Sengupta A, Midya A, Konar A, Sengupta S. 3-D model assisted facial error concealment technique using regenerative particle filter based tracking. In Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013. 2013. 6618324. (Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013). https://doi.org/10.1109/ICMEW.2013.6618324

3-D model assisted facial error concealment technique using regenerative particle filter based tracking

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