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ICASSP 2018

ICASSP is the world's largest and most comprehensive technical conference on signal processing and its applications. It provides a fantastic networking opportunity for like-minded professionals from around the world. ICASSP 2018 conference will feature world-class presentations by internationally renowned speakers and cutting-edge session topics. Visit ICASSP 2018.

On Sequential Random Distortion Testing of Non-Stationary Processes


Random distortion testing (RDT) addresses the problem of testing whether or not a random signal deviates by more than a specified tolerance from a fixed value. The test is non-parametric in the sense that the distribution of the signal under each hypothesis is assumed to be unknown. The signal is observed in independent and identically distributed (i.i.d) additive noise. The need to control the probabilities of false alarm and missed de- tection while reducing the number of samples required to make a decision leads to the SeqRDT approach.

Paper Details

Authors:
Dominique Pastor, Vinod Sharma, Pramod K. Varshney
Submitted On:
20 April 2018 - 1:38am
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ICASSP18_Slides.pdf

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[1] Dominique Pastor, Vinod Sharma, Pramod K. Varshney, "On Sequential Random Distortion Testing of Non-Stationary Processes", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3078. Accessed: Apr. 21, 2018.
@article{3078-18,
url = {http://sigport.org/3078},
author = {Dominique Pastor; Vinod Sharma; Pramod K. Varshney },
publisher = {IEEE SigPort},
title = {On Sequential Random Distortion Testing of Non-Stationary Processes},
year = {2018} }
TY - EJOUR
T1 - On Sequential Random Distortion Testing of Non-Stationary Processes
AU - Dominique Pastor; Vinod Sharma; Pramod K. Varshney
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3078
ER -
Dominique Pastor, Vinod Sharma, Pramod K. Varshney. (2018). On Sequential Random Distortion Testing of Non-Stationary Processes. IEEE SigPort. http://sigport.org/3078
Dominique Pastor, Vinod Sharma, Pramod K. Varshney, 2018. On Sequential Random Distortion Testing of Non-Stationary Processes. Available at: http://sigport.org/3078.
Dominique Pastor, Vinod Sharma, Pramod K. Varshney. (2018). "On Sequential Random Distortion Testing of Non-Stationary Processes." Web.
1. Dominique Pastor, Vinod Sharma, Pramod K. Varshney. On Sequential Random Distortion Testing of Non-Stationary Processes [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3078

PRECISE REGRESSION FOR BOUNDING BOX CORRECTION FOR IMPROVED TRACKING BASED ON DEEP REINFORCEMENT LEARNING

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20 April 2018 - 1:28am
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ICASSP2018_BBox_Poster_Given.pdf

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[1] , "PRECISE REGRESSION FOR BOUNDING BOX CORRECTION FOR IMPROVED TRACKING BASED ON DEEP REINFORCEMENT LEARNING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3077. Accessed: Apr. 21, 2018.
@article{3077-18,
url = {http://sigport.org/3077},
author = { },
publisher = {IEEE SigPort},
title = {PRECISE REGRESSION FOR BOUNDING BOX CORRECTION FOR IMPROVED TRACKING BASED ON DEEP REINFORCEMENT LEARNING},
year = {2018} }
TY - EJOUR
T1 - PRECISE REGRESSION FOR BOUNDING BOX CORRECTION FOR IMPROVED TRACKING BASED ON DEEP REINFORCEMENT LEARNING
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3077
ER -
. (2018). PRECISE REGRESSION FOR BOUNDING BOX CORRECTION FOR IMPROVED TRACKING BASED ON DEEP REINFORCEMENT LEARNING. IEEE SigPort. http://sigport.org/3077
, 2018. PRECISE REGRESSION FOR BOUNDING BOX CORRECTION FOR IMPROVED TRACKING BASED ON DEEP REINFORCEMENT LEARNING. Available at: http://sigport.org/3077.
. (2018). "PRECISE REGRESSION FOR BOUNDING BOX CORRECTION FOR IMPROVED TRACKING BASED ON DEEP REINFORCEMENT LEARNING." Web.
1. . PRECISE REGRESSION FOR BOUNDING BOX CORRECTION FOR IMPROVED TRACKING BASED ON DEEP REINFORCEMENT LEARNING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3077

Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers

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Authors:
Pramod Varshney
Submitted On:
20 April 2018 - 1:17am
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icassp-2018_QLi.pdf

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[1] Pramod Varshney, "Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3076. Accessed: Apr. 21, 2018.
@article{3076-18,
url = {http://sigport.org/3076},
author = {Pramod Varshney },
publisher = {IEEE SigPort},
title = {Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers},
year = {2018} }
TY - EJOUR
T1 - Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers
AU - Pramod Varshney
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3076
ER -
Pramod Varshney. (2018). Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers. IEEE SigPort. http://sigport.org/3076
Pramod Varshney, 2018. Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers. Available at: http://sigport.org/3076.
Pramod Varshney. (2018). "Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers." Web.
1. Pramod Varshney. Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3076

Fusion of Multiple Multiband Images with Complementary Spatial and Spectral Resolutions

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20 April 2018 - 1:17am
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pv0.1.pdf

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[1] , "Fusion of Multiple Multiband Images with Complementary Spatial and Spectral Resolutions", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3075. Accessed: Apr. 21, 2018.
@article{3075-18,
url = {http://sigport.org/3075},
author = { },
publisher = {IEEE SigPort},
title = {Fusion of Multiple Multiband Images with Complementary Spatial and Spectral Resolutions},
year = {2018} }
TY - EJOUR
T1 - Fusion of Multiple Multiband Images with Complementary Spatial and Spectral Resolutions
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3075
ER -
. (2018). Fusion of Multiple Multiband Images with Complementary Spatial and Spectral Resolutions. IEEE SigPort. http://sigport.org/3075
, 2018. Fusion of Multiple Multiband Images with Complementary Spatial and Spectral Resolutions. Available at: http://sigport.org/3075.
. (2018). "Fusion of Multiple Multiband Images with Complementary Spatial and Spectral Resolutions." Web.
1. . Fusion of Multiple Multiband Images with Complementary Spatial and Spectral Resolutions [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3075

Deep Blind Image Quality Assessment by Learning Sensitivity Map


Applying a deep convolutional neural network CNN to no reference image quality assessment (NR-IQA) is a challenging task due to the lack of a training database. In this paper, we propose a CNN-based NR-IQA framework that can effectively solve this problem. The proposed method–the Deep Blind image Quality Assessment predictor (DeepBQA)– adopts two-step training stages to avoid overfitting. In the first stage, a ground-truth objective error map is generated and used as a proxy training target.

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Submitted On:
20 April 2018 - 1:12am
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ICASSP2018_Sanghoon_Lee.pdf

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[1] , "Deep Blind Image Quality Assessment by Learning Sensitivity Map", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3074. Accessed: Apr. 21, 2018.
@article{3074-18,
url = {http://sigport.org/3074},
author = { },
publisher = {IEEE SigPort},
title = {Deep Blind Image Quality Assessment by Learning Sensitivity Map},
year = {2018} }
TY - EJOUR
T1 - Deep Blind Image Quality Assessment by Learning Sensitivity Map
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3074
ER -
. (2018). Deep Blind Image Quality Assessment by Learning Sensitivity Map. IEEE SigPort. http://sigport.org/3074
, 2018. Deep Blind Image Quality Assessment by Learning Sensitivity Map. Available at: http://sigport.org/3074.
. (2018). "Deep Blind Image Quality Assessment by Learning Sensitivity Map." Web.
1. . Deep Blind Image Quality Assessment by Learning Sensitivity Map [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3074

PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA

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Authors:
Sandeep Kumar, Daniel P. Palomar
Submitted On:
20 April 2018 - 1:08am
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poster_ICASSP2018.pdf

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[1] Sandeep Kumar, Daniel P. Palomar, "PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3073. Accessed: Apr. 21, 2018.
@article{3073-18,
url = {http://sigport.org/3073},
author = {Sandeep Kumar; Daniel P. Palomar },
publisher = {IEEE SigPort},
title = {PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA},
year = {2018} }
TY - EJOUR
T1 - PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA
AU - Sandeep Kumar; Daniel P. Palomar
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3073
ER -
Sandeep Kumar, Daniel P. Palomar. (2018). PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA. IEEE SigPort. http://sigport.org/3073
Sandeep Kumar, Daniel P. Palomar, 2018. PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA. Available at: http://sigport.org/3073.
Sandeep Kumar, Daniel P. Palomar. (2018). "PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA." Web.
1. Sandeep Kumar, Daniel P. Palomar. PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3073

AUTOMATIC TEMPORAL SEGMENTATION OF HAND MOVEMENTS FOR HAND POSITIONS RECOGNITION IN FRENCH CUED SPEECH


In the context of Cued Speech (CS) recognition, the recognition
of lips and hand movements is a key task. As we know, a good
temporal segmentation is necessary for the supervised recog-
nition system. However, lips and hand streams cannot share
the same temporal segmentation since they are not synchro-
nized. In this work, we propose a hand preceding model to
predict temporal segmentations of hand movements automati-
cally by exploring the relationship between hand preceding time

Paper Details

Authors:
LI LIU, GANG FENG, DENIS BEAUTEMPS
Submitted On:
20 April 2018 - 1:08am
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Poster_ICASSP_36032018.pdf

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[1] LI LIU, GANG FENG, DENIS BEAUTEMPS, "AUTOMATIC TEMPORAL SEGMENTATION OF HAND MOVEMENTS FOR HAND POSITIONS RECOGNITION IN FRENCH CUED SPEECH", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3072. Accessed: Apr. 21, 2018.
@article{3072-18,
url = {http://sigport.org/3072},
author = {LI LIU; GANG FENG; DENIS BEAUTEMPS },
publisher = {IEEE SigPort},
title = {AUTOMATIC TEMPORAL SEGMENTATION OF HAND MOVEMENTS FOR HAND POSITIONS RECOGNITION IN FRENCH CUED SPEECH},
year = {2018} }
TY - EJOUR
T1 - AUTOMATIC TEMPORAL SEGMENTATION OF HAND MOVEMENTS FOR HAND POSITIONS RECOGNITION IN FRENCH CUED SPEECH
AU - LI LIU; GANG FENG; DENIS BEAUTEMPS
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3072
ER -
LI LIU, GANG FENG, DENIS BEAUTEMPS. (2018). AUTOMATIC TEMPORAL SEGMENTATION OF HAND MOVEMENTS FOR HAND POSITIONS RECOGNITION IN FRENCH CUED SPEECH. IEEE SigPort. http://sigport.org/3072
LI LIU, GANG FENG, DENIS BEAUTEMPS, 2018. AUTOMATIC TEMPORAL SEGMENTATION OF HAND MOVEMENTS FOR HAND POSITIONS RECOGNITION IN FRENCH CUED SPEECH. Available at: http://sigport.org/3072.
LI LIU, GANG FENG, DENIS BEAUTEMPS. (2018). "AUTOMATIC TEMPORAL SEGMENTATION OF HAND MOVEMENTS FOR HAND POSITIONS RECOGNITION IN FRENCH CUED SPEECH." Web.
1. LI LIU, GANG FENG, DENIS BEAUTEMPS. AUTOMATIC TEMPORAL SEGMENTATION OF HAND MOVEMENTS FOR HAND POSITIONS RECOGNITION IN FRENCH CUED SPEECH [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3072

BAYESIAN GENERATIVE MODEL BASED ON COLOR HISTOGRAM OF ORIENTED PHASE AND HISTOGRAM OF ORIENTED OPTICAL FLOW FOR RARE EVENT DETECTION IN CROWDED SCENES

Paper Details

Authors:
D. Fabrice ATREVI, Damien VIVET, Bruno EMILE
Submitted On:
20 April 2018 - 1:06am
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Poster_Icassp_ATREVI.pdf

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[1] D. Fabrice ATREVI, Damien VIVET, Bruno EMILE, "BAYESIAN GENERATIVE MODEL BASED ON COLOR HISTOGRAM OF ORIENTED PHASE AND HISTOGRAM OF ORIENTED OPTICAL FLOW FOR RARE EVENT DETECTION IN CROWDED SCENES", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3071. Accessed: Apr. 21, 2018.
@article{3071-18,
url = {http://sigport.org/3071},
author = { D. Fabrice ATREVI; Damien VIVET; Bruno EMILE },
publisher = {IEEE SigPort},
title = {BAYESIAN GENERATIVE MODEL BASED ON COLOR HISTOGRAM OF ORIENTED PHASE AND HISTOGRAM OF ORIENTED OPTICAL FLOW FOR RARE EVENT DETECTION IN CROWDED SCENES},
year = {2018} }
TY - EJOUR
T1 - BAYESIAN GENERATIVE MODEL BASED ON COLOR HISTOGRAM OF ORIENTED PHASE AND HISTOGRAM OF ORIENTED OPTICAL FLOW FOR RARE EVENT DETECTION IN CROWDED SCENES
AU - D. Fabrice ATREVI; Damien VIVET; Bruno EMILE
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3071
ER -
D. Fabrice ATREVI, Damien VIVET, Bruno EMILE. (2018). BAYESIAN GENERATIVE MODEL BASED ON COLOR HISTOGRAM OF ORIENTED PHASE AND HISTOGRAM OF ORIENTED OPTICAL FLOW FOR RARE EVENT DETECTION IN CROWDED SCENES. IEEE SigPort. http://sigport.org/3071
D. Fabrice ATREVI, Damien VIVET, Bruno EMILE, 2018. BAYESIAN GENERATIVE MODEL BASED ON COLOR HISTOGRAM OF ORIENTED PHASE AND HISTOGRAM OF ORIENTED OPTICAL FLOW FOR RARE EVENT DETECTION IN CROWDED SCENES. Available at: http://sigport.org/3071.
D. Fabrice ATREVI, Damien VIVET, Bruno EMILE. (2018). "BAYESIAN GENERATIVE MODEL BASED ON COLOR HISTOGRAM OF ORIENTED PHASE AND HISTOGRAM OF ORIENTED OPTICAL FLOW FOR RARE EVENT DETECTION IN CROWDED SCENES." Web.
1. D. Fabrice ATREVI, Damien VIVET, Bruno EMILE. BAYESIAN GENERATIVE MODEL BASED ON COLOR HISTOGRAM OF ORIENTED PHASE AND HISTOGRAM OF ORIENTED OPTICAL FLOW FOR RARE EVENT DETECTION IN CROWDED SCENES [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3071

PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA

Paper Details

Authors:
Sandeep Kumar, Daniel P. Palomar
Submitted On:
20 April 2018 - 1:08am
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Type:
Event:
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Document Year:
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poster_ICASSP2018.pdf

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[1] Sandeep Kumar, Daniel P. Palomar, "PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3070. Accessed: Apr. 21, 2018.
@article{3070-18,
url = {http://sigport.org/3070},
author = {Sandeep Kumar; Daniel P. Palomar },
publisher = {IEEE SigPort},
title = {PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA},
year = {2018} }
TY - EJOUR
T1 - PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA
AU - Sandeep Kumar; Daniel P. Palomar
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3070
ER -
Sandeep Kumar, Daniel P. Palomar. (2018). PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA. IEEE SigPort. http://sigport.org/3070
Sandeep Kumar, Daniel P. Palomar, 2018. PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA. Available at: http://sigport.org/3070.
Sandeep Kumar, Daniel P. Palomar. (2018). "PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA." Web.
1. Sandeep Kumar, Daniel P. Palomar. PARAMETER ESTIMATION OF HEAVY-TAILED RANDOM WALK MODEL FROM INCOMPLETE DATA [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3070

Data-Driven Nonparametric Hypothesis Testing

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Authors:
Yixian Liu, Yingbin Liang, Shuguang Cui
Submitted On:
20 April 2018 - 12:55am
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icassp2018_poster_liuyixian.pdf

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[1] Yixian Liu, Yingbin Liang, Shuguang Cui, "Data-Driven Nonparametric Hypothesis Testing", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3069. Accessed: Apr. 21, 2018.
@article{3069-18,
url = {http://sigport.org/3069},
author = {Yixian Liu; Yingbin Liang; Shuguang Cui },
publisher = {IEEE SigPort},
title = {Data-Driven Nonparametric Hypothesis Testing},
year = {2018} }
TY - EJOUR
T1 - Data-Driven Nonparametric Hypothesis Testing
AU - Yixian Liu; Yingbin Liang; Shuguang Cui
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3069
ER -
Yixian Liu, Yingbin Liang, Shuguang Cui. (2018). Data-Driven Nonparametric Hypothesis Testing. IEEE SigPort. http://sigport.org/3069
Yixian Liu, Yingbin Liang, Shuguang Cui, 2018. Data-Driven Nonparametric Hypothesis Testing. Available at: http://sigport.org/3069.
Yixian Liu, Yingbin Liang, Shuguang Cui. (2018). "Data-Driven Nonparametric Hypothesis Testing." Web.
1. Yixian Liu, Yingbin Liang, Shuguang Cui. Data-Driven Nonparametric Hypothesis Testing [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3069

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