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Image, Video, and Multidimensional Signal Processing

RECOGNIZING FINE FACIAL MICRO-EXPRESSIONS USING TWO-DIMENSIONAL LANDMARK FEATURE

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5 October 2018 - 5:40am
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Dong yoon Choi_ICIP2018_poster.pdf

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[1] , "RECOGNIZING FINE FACIAL MICRO-EXPRESSIONS USING TWO-DIMENSIONAL LANDMARK FEATURE", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3528. Accessed: Mar. 25, 2019.
@article{3528-18,
url = {http://sigport.org/3528},
author = { },
publisher = {IEEE SigPort},
title = {RECOGNIZING FINE FACIAL MICRO-EXPRESSIONS USING TWO-DIMENSIONAL LANDMARK FEATURE},
year = {2018} }
TY - EJOUR
T1 - RECOGNIZING FINE FACIAL MICRO-EXPRESSIONS USING TWO-DIMENSIONAL LANDMARK FEATURE
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3528
ER -
. (2018). RECOGNIZING FINE FACIAL MICRO-EXPRESSIONS USING TWO-DIMENSIONAL LANDMARK FEATURE. IEEE SigPort. http://sigport.org/3528
, 2018. RECOGNIZING FINE FACIAL MICRO-EXPRESSIONS USING TWO-DIMENSIONAL LANDMARK FEATURE. Available at: http://sigport.org/3528.
. (2018). "RECOGNIZING FINE FACIAL MICRO-EXPRESSIONS USING TWO-DIMENSIONAL LANDMARK FEATURE." Web.
1. . RECOGNIZING FINE FACIAL MICRO-EXPRESSIONS USING TWO-DIMENSIONAL LANDMARK FEATURE [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3528

HIERARCHY OF GANS FOR LEARNING EMBODIED SELF-AWARENESS MODEL

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Authors:
Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marín, David Martin Gomez, Lucio Marcenaro, Carlo Regazzoni
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5 October 2018 - 5:15am
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poster.pdf

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[1] Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marín, David Martin Gomez, Lucio Marcenaro, Carlo Regazzoni, "HIERARCHY OF GANS FOR LEARNING EMBODIED SELF-AWARENESS MODEL", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3525. Accessed: Mar. 25, 2019.
@article{3525-18,
url = {http://sigport.org/3525},
author = {Mahdyar Ravanbakhsh; Mohamad Baydoun; Damian Campo; Pablo Marín; David Martin Gomez; Lucio Marcenaro; Carlo Regazzoni },
publisher = {IEEE SigPort},
title = {HIERARCHY OF GANS FOR LEARNING EMBODIED SELF-AWARENESS MODEL},
year = {2018} }
TY - EJOUR
T1 - HIERARCHY OF GANS FOR LEARNING EMBODIED SELF-AWARENESS MODEL
AU - Mahdyar Ravanbakhsh; Mohamad Baydoun; Damian Campo; Pablo Marín; David Martin Gomez; Lucio Marcenaro; Carlo Regazzoni
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3525
ER -
Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marín, David Martin Gomez, Lucio Marcenaro, Carlo Regazzoni. (2018). HIERARCHY OF GANS FOR LEARNING EMBODIED SELF-AWARENESS MODEL. IEEE SigPort. http://sigport.org/3525
Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marín, David Martin Gomez, Lucio Marcenaro, Carlo Regazzoni, 2018. HIERARCHY OF GANS FOR LEARNING EMBODIED SELF-AWARENESS MODEL. Available at: http://sigport.org/3525.
Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marín, David Martin Gomez, Lucio Marcenaro, Carlo Regazzoni. (2018). "HIERARCHY OF GANS FOR LEARNING EMBODIED SELF-AWARENESS MODEL." Web.
1. Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marín, David Martin Gomez, Lucio Marcenaro, Carlo Regazzoni. HIERARCHY OF GANS FOR LEARNING EMBODIED SELF-AWARENESS MODEL [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3525

UAV CINEMATOGRAPHY CONSTRAINTS IMPOSED BY VISUAL TARGET TRACKING


Camera-equipped drones have recently revolutionized aerial cinematography, allowing easy acquisition of impressive footage. Although they are currently manually operated, autonomous functionalities based on machine learning and computer vision are becoming popular. However, the emerging area of autonomous UAV filming has to face several challenges, especially when visually tracking fast and unpredictably moving targets. In the latter case, an important issue is how to determine the shot types that are achievable without risking failure of the 2D visual tracker.

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Authors:
Iason Karakostas, Ioannis Mademlis, Nikos Nikolaidis, Ioannis Pitas
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5 October 2018 - 4:06am
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Presentation_UAVCinematographyConstraintsImposedByVisualTargetTracking.pptx

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[1] Iason Karakostas, Ioannis Mademlis, Nikos Nikolaidis, Ioannis Pitas, "UAV CINEMATOGRAPHY CONSTRAINTS IMPOSED BY VISUAL TARGET TRACKING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3518. Accessed: Mar. 25, 2019.
@article{3518-18,
url = {http://sigport.org/3518},
author = {Iason Karakostas; Ioannis Mademlis; Nikos Nikolaidis; Ioannis Pitas },
publisher = {IEEE SigPort},
title = {UAV CINEMATOGRAPHY CONSTRAINTS IMPOSED BY VISUAL TARGET TRACKING},
year = {2018} }
TY - EJOUR
T1 - UAV CINEMATOGRAPHY CONSTRAINTS IMPOSED BY VISUAL TARGET TRACKING
AU - Iason Karakostas; Ioannis Mademlis; Nikos Nikolaidis; Ioannis Pitas
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3518
ER -
Iason Karakostas, Ioannis Mademlis, Nikos Nikolaidis, Ioannis Pitas. (2018). UAV CINEMATOGRAPHY CONSTRAINTS IMPOSED BY VISUAL TARGET TRACKING. IEEE SigPort. http://sigport.org/3518
Iason Karakostas, Ioannis Mademlis, Nikos Nikolaidis, Ioannis Pitas, 2018. UAV CINEMATOGRAPHY CONSTRAINTS IMPOSED BY VISUAL TARGET TRACKING. Available at: http://sigport.org/3518.
Iason Karakostas, Ioannis Mademlis, Nikos Nikolaidis, Ioannis Pitas. (2018). "UAV CINEMATOGRAPHY CONSTRAINTS IMPOSED BY VISUAL TARGET TRACKING." Web.
1. Iason Karakostas, Ioannis Mademlis, Nikos Nikolaidis, Ioannis Pitas. UAV CINEMATOGRAPHY CONSTRAINTS IMPOSED BY VISUAL TARGET TRACKING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3518

Billboard Saliency Detection in Street Videos for Adults and Elderly

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5 October 2018 - 12:45am
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ICIP_2018_onkar.pdf

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[1] , "Billboard Saliency Detection in Street Videos for Adults and Elderly ", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3493. Accessed: Mar. 25, 2019.
@article{3493-18,
url = {http://sigport.org/3493},
author = { },
publisher = {IEEE SigPort},
title = {Billboard Saliency Detection in Street Videos for Adults and Elderly },
year = {2018} }
TY - EJOUR
T1 - Billboard Saliency Detection in Street Videos for Adults and Elderly
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3493
ER -
. (2018). Billboard Saliency Detection in Street Videos for Adults and Elderly . IEEE SigPort. http://sigport.org/3493
, 2018. Billboard Saliency Detection in Street Videos for Adults and Elderly . Available at: http://sigport.org/3493.
. (2018). "Billboard Saliency Detection in Street Videos for Adults and Elderly ." Web.
1. . Billboard Saliency Detection in Street Videos for Adults and Elderly [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3493

A PRACTICAL CONVOLUTIONAL NEURAL NETWORK AS LOOP FILTER FOR INTRA FRAME


Loop filters are used in video coding to remove artifacts or improve performance. Recent advances in deploying convolutional neural network (CNN) to replace traditional loop filters show large gains but with problems for practical application.First, different model is used for frames encoded with different quantization parameter (QP), respectively. It is expensive for hardware. Second, float points operation in CNN leads to inconsistency between encoding and decoding across different platforms. Third, redundancy within CNN model consumes precious computational resources.

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Authors:
Xiaodan Song, Lulu Zhou, Li Wang, Xiaoyang Wu, Di Xie, Shiliang Pu
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5 October 2018 - 4:52pm
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A PRACTICAL CONVOLUTIONAL NEURAL NETWORK AS LOOP FILTER FOR INTRA FRAME.pdf

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[1] Xiaodan Song, Lulu Zhou, Li Wang, Xiaoyang Wu, Di Xie, Shiliang Pu, "A PRACTICAL CONVOLUTIONAL NEURAL NETWORK AS LOOP FILTER FOR INTRA FRAME", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3489. Accessed: Mar. 25, 2019.
@article{3489-18,
url = {http://sigport.org/3489},
author = {Xiaodan Song; Lulu Zhou; Li Wang; Xiaoyang Wu; Di Xie; Shiliang Pu },
publisher = {IEEE SigPort},
title = {A PRACTICAL CONVOLUTIONAL NEURAL NETWORK AS LOOP FILTER FOR INTRA FRAME},
year = {2018} }
TY - EJOUR
T1 - A PRACTICAL CONVOLUTIONAL NEURAL NETWORK AS LOOP FILTER FOR INTRA FRAME
AU - Xiaodan Song; Lulu Zhou; Li Wang; Xiaoyang Wu; Di Xie; Shiliang Pu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3489
ER -
Xiaodan Song, Lulu Zhou, Li Wang, Xiaoyang Wu, Di Xie, Shiliang Pu. (2018). A PRACTICAL CONVOLUTIONAL NEURAL NETWORK AS LOOP FILTER FOR INTRA FRAME. IEEE SigPort. http://sigport.org/3489
Xiaodan Song, Lulu Zhou, Li Wang, Xiaoyang Wu, Di Xie, Shiliang Pu, 2018. A PRACTICAL CONVOLUTIONAL NEURAL NETWORK AS LOOP FILTER FOR INTRA FRAME. Available at: http://sigport.org/3489.
Xiaodan Song, Lulu Zhou, Li Wang, Xiaoyang Wu, Di Xie, Shiliang Pu. (2018). "A PRACTICAL CONVOLUTIONAL NEURAL NETWORK AS LOOP FILTER FOR INTRA FRAME." Web.
1. Xiaodan Song, Lulu Zhou, Li Wang, Xiaoyang Wu, Di Xie, Shiliang Pu. A PRACTICAL CONVOLUTIONAL NEURAL NETWORK AS LOOP FILTER FOR INTRA FRAME [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3489

SHPD: SURVEILLANCE HUMAN POSE DATASET AND PERFORMANCE EVALUATION FOR COARSE-GRAINED POSE ESTIMATION


Pose estimation is highly valued in surveillance systems in the era of big data. However, current human pose datasets are limited in their coverage of the pose estimation challenges in outdoor surveillance scenarios. In this paper, we introduce a novel Surveillance Human Pose Dataset (SHPD).

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5 October 2018 - 12:10am
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poster-cqh.pdf

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[1] , "SHPD: SURVEILLANCE HUMAN POSE DATASET AND PERFORMANCE EVALUATION FOR COARSE-GRAINED POSE ESTIMATION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3488. Accessed: Mar. 25, 2019.
@article{3488-18,
url = {http://sigport.org/3488},
author = { },
publisher = {IEEE SigPort},
title = {SHPD: SURVEILLANCE HUMAN POSE DATASET AND PERFORMANCE EVALUATION FOR COARSE-GRAINED POSE ESTIMATION},
year = {2018} }
TY - EJOUR
T1 - SHPD: SURVEILLANCE HUMAN POSE DATASET AND PERFORMANCE EVALUATION FOR COARSE-GRAINED POSE ESTIMATION
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3488
ER -
. (2018). SHPD: SURVEILLANCE HUMAN POSE DATASET AND PERFORMANCE EVALUATION FOR COARSE-GRAINED POSE ESTIMATION. IEEE SigPort. http://sigport.org/3488
, 2018. SHPD: SURVEILLANCE HUMAN POSE DATASET AND PERFORMANCE EVALUATION FOR COARSE-GRAINED POSE ESTIMATION. Available at: http://sigport.org/3488.
. (2018). "SHPD: SURVEILLANCE HUMAN POSE DATASET AND PERFORMANCE EVALUATION FOR COARSE-GRAINED POSE ESTIMATION." Web.
1. . SHPD: SURVEILLANCE HUMAN POSE DATASET AND PERFORMANCE EVALUATION FOR COARSE-GRAINED POSE ESTIMATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3488

Light Field Image Restoration for Vision in Scattering Media


Recovering information from contrast-limited, SNR-limited, color-attenuated images in a scattering medium is of paramount importance for the autonomous functioning of robotic agents. The task is challenging due to the transient state of the medium, unknown medium parameters and in many cases the need for fully autonomous operation. This work presents a target-less, calibration-less method for restoring underwater light field images and requires no explicit model of the medium.

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Authors:
Vigil Varghese, Donald G. Dansereau, Mitch Bryson, Oscar Pizarro, Stefan B. Williams
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4 October 2018 - 9:29pm
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ICIPPoster.pdf

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[1] Vigil Varghese, Donald G. Dansereau, Mitch Bryson, Oscar Pizarro, Stefan B. Williams, "Light Field Image Restoration for Vision in Scattering Media", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3474. Accessed: Mar. 25, 2019.
@article{3474-18,
url = {http://sigport.org/3474},
author = {Vigil Varghese; Donald G. Dansereau; Mitch Bryson; Oscar Pizarro; Stefan B. Williams },
publisher = {IEEE SigPort},
title = {Light Field Image Restoration for Vision in Scattering Media},
year = {2018} }
TY - EJOUR
T1 - Light Field Image Restoration for Vision in Scattering Media
AU - Vigil Varghese; Donald G. Dansereau; Mitch Bryson; Oscar Pizarro; Stefan B. Williams
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3474
ER -
Vigil Varghese, Donald G. Dansereau, Mitch Bryson, Oscar Pizarro, Stefan B. Williams. (2018). Light Field Image Restoration for Vision in Scattering Media. IEEE SigPort. http://sigport.org/3474
Vigil Varghese, Donald G. Dansereau, Mitch Bryson, Oscar Pizarro, Stefan B. Williams, 2018. Light Field Image Restoration for Vision in Scattering Media. Available at: http://sigport.org/3474.
Vigil Varghese, Donald G. Dansereau, Mitch Bryson, Oscar Pizarro, Stefan B. Williams. (2018). "Light Field Image Restoration for Vision in Scattering Media." Web.
1. Vigil Varghese, Donald G. Dansereau, Mitch Bryson, Oscar Pizarro, Stefan B. Williams. Light Field Image Restoration for Vision in Scattering Media [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3474

Adaptive local image enhancement based on logarithmic mappings


A new local image enhancement technique is proposed.
It is based on a logarithmic mapping function
that is adapted to the luminance
characteristics of the neighborhood of each pixel.
The method permits to simultaneously increase the luminance in dark regions
and decrease it in bright regions. The result is an image with an overall improved
contrast.

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4 October 2018 - 11:18am
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poster_icip2018.pdf

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[1] , "Adaptive local image enhancement based on logarithmic mappings", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3432. Accessed: Mar. 25, 2019.
@article{3432-18,
url = {http://sigport.org/3432},
author = { },
publisher = {IEEE SigPort},
title = {Adaptive local image enhancement based on logarithmic mappings},
year = {2018} }
TY - EJOUR
T1 - Adaptive local image enhancement based on logarithmic mappings
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3432
ER -
. (2018). Adaptive local image enhancement based on logarithmic mappings. IEEE SigPort. http://sigport.org/3432
, 2018. Adaptive local image enhancement based on logarithmic mappings. Available at: http://sigport.org/3432.
. (2018). "Adaptive local image enhancement based on logarithmic mappings." Web.
1. . Adaptive local image enhancement based on logarithmic mappings [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3432

MULTI-THRESHOLD LIP CONTOUR DETECTION


In this work, we propose a novel, multi-threshold method for lip contour extraction from high-resolution static lip images acquired in an uncontrolled environment and emphasizing on the contour details.
The introduced method is a “Divide and conquer” approach. We broke the problem of lip contour extraction into two base sub-problems of locating the upper and lower lip contours using a novel threshold selection algorithm and combining them into the solution for the original lip contour.

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Authors:
Panagiota Spyridonos, Aggelos Fares Saint, Aristidis Likas, Georgios Gaitanis, Ioannis Bassukas
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4 October 2018 - 10:59am
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ICIP 2018

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[1] Panagiota Spyridonos, Aggelos Fares Saint, Aristidis Likas, Georgios Gaitanis, Ioannis Bassukas, "MULTI-THRESHOLD LIP CONTOUR DETECTION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3428. Accessed: Mar. 25, 2019.
@article{3428-18,
url = {http://sigport.org/3428},
author = {Panagiota Spyridonos; Aggelos Fares Saint; Aristidis Likas; Georgios Gaitanis; Ioannis Bassukas },
publisher = {IEEE SigPort},
title = {MULTI-THRESHOLD LIP CONTOUR DETECTION},
year = {2018} }
TY - EJOUR
T1 - MULTI-THRESHOLD LIP CONTOUR DETECTION
AU - Panagiota Spyridonos; Aggelos Fares Saint; Aristidis Likas; Georgios Gaitanis; Ioannis Bassukas
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3428
ER -
Panagiota Spyridonos, Aggelos Fares Saint, Aristidis Likas, Georgios Gaitanis, Ioannis Bassukas. (2018). MULTI-THRESHOLD LIP CONTOUR DETECTION. IEEE SigPort. http://sigport.org/3428
Panagiota Spyridonos, Aggelos Fares Saint, Aristidis Likas, Georgios Gaitanis, Ioannis Bassukas, 2018. MULTI-THRESHOLD LIP CONTOUR DETECTION. Available at: http://sigport.org/3428.
Panagiota Spyridonos, Aggelos Fares Saint, Aristidis Likas, Georgios Gaitanis, Ioannis Bassukas. (2018). "MULTI-THRESHOLD LIP CONTOUR DETECTION." Web.
1. Panagiota Spyridonos, Aggelos Fares Saint, Aristidis Likas, Georgios Gaitanis, Ioannis Bassukas. MULTI-THRESHOLD LIP CONTOUR DETECTION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3428

Near-Constant Time Bilateral Filter for High-Dimensional Images

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Authors:
Keigo Hirakawa
Submitted On:
4 October 2018 - 10:55am
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Poster_Karam

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[1] Keigo Hirakawa, "Near-Constant Time Bilateral Filter for High-Dimensional Images", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3427. Accessed: Mar. 25, 2019.
@article{3427-18,
url = {http://sigport.org/3427},
author = {Keigo Hirakawa },
publisher = {IEEE SigPort},
title = {Near-Constant Time Bilateral Filter for High-Dimensional Images},
year = {2018} }
TY - EJOUR
T1 - Near-Constant Time Bilateral Filter for High-Dimensional Images
AU - Keigo Hirakawa
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3427
ER -
Keigo Hirakawa. (2018). Near-Constant Time Bilateral Filter for High-Dimensional Images. IEEE SigPort. http://sigport.org/3427
Keigo Hirakawa, 2018. Near-Constant Time Bilateral Filter for High-Dimensional Images. Available at: http://sigport.org/3427.
Keigo Hirakawa. (2018). "Near-Constant Time Bilateral Filter for High-Dimensional Images." Web.
1. Keigo Hirakawa. Near-Constant Time Bilateral Filter for High-Dimensional Images [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3427

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