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ICASSP 2019

ICASSP is the world’s largest and most comprehensive technical conference focused on signal processing and its applications. The 2019 conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world. Visit website

BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE


Existing blind evaluators for screen content images (SCIs) are mainly learning-based and require a number of training images with co-registered human opinion scores. However, the size of existing databases is small, and it is labor-, timeconsuming and expensive to largely generate human opinion scores. In this study, we propose a novel blind quality evaluator without training.

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Authors:
Guanghui Yue, Chunping Hou, and Weisi Lin
Submitted On:
11 May 2019 - 9:48pm
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[1] Guanghui Yue, Chunping Hou, and Weisi Lin, "BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4457. Accessed: May. 23, 2019.
@article{4457-19,
url = {http://sigport.org/4457},
author = {Guanghui Yue; Chunping Hou; and Weisi Lin },
publisher = {IEEE SigPort},
title = {BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE},
year = {2019} }
TY - EJOUR
T1 - BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE
AU - Guanghui Yue; Chunping Hou; and Weisi Lin
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4457
ER -
Guanghui Yue, Chunping Hou, and Weisi Lin. (2019). BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE. IEEE SigPort. http://sigport.org/4457
Guanghui Yue, Chunping Hou, and Weisi Lin, 2019. BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE. Available at: http://sigport.org/4457.
Guanghui Yue, Chunping Hou, and Weisi Lin. (2019). "BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE." Web.
1. Guanghui Yue, Chunping Hou, and Weisi Lin. BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4457

Geometric Invariants for Sparse Unknown View Tomography


In this paper, we study a 2D tomography problem for point source models with random unknown view angles. Rather than recovering the projection angles, we reconstruct the model through a set of rotation-invariant features that are estimated from the projection data. For a point source model, we show that these features reveal geometric information about the model such as the radial and pairwise distances. This establishes a connection between unknown view tomography and unassigned distance geometry problem (uDGP).

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Authors:
Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao
Submitted On:
11 May 2019 - 7:56pm
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[1] Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao, "Geometric Invariants for Sparse Unknown View Tomography", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4456. Accessed: May. 23, 2019.
@article{4456-19,
url = {http://sigport.org/4456},
author = {Mona Zehni; Shuai Huang; Ivan Dokmanic; Zhizhen Zhao },
publisher = {IEEE SigPort},
title = {Geometric Invariants for Sparse Unknown View Tomography},
year = {2019} }
TY - EJOUR
T1 - Geometric Invariants for Sparse Unknown View Tomography
AU - Mona Zehni; Shuai Huang; Ivan Dokmanic; Zhizhen Zhao
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4456
ER -
Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao. (2019). Geometric Invariants for Sparse Unknown View Tomography. IEEE SigPort. http://sigport.org/4456
Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao, 2019. Geometric Invariants for Sparse Unknown View Tomography. Available at: http://sigport.org/4456.
Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao. (2019). "Geometric Invariants for Sparse Unknown View Tomography." Web.
1. Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao. Geometric Invariants for Sparse Unknown View Tomography [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4456

SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD

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Authors:
Cyrille Chavet, Fabrice Lozachmeur, Thomas Barguil, Awais Sani Hussein, Philippe Coussy
Submitted On:
11 May 2019 - 5:42pm
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[1] Cyrille Chavet, Fabrice Lozachmeur, Thomas Barguil, Awais Sani Hussein, Philippe Coussy, "SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4455. Accessed: May. 23, 2019.
@article{4455-19,
url = {http://sigport.org/4455},
author = {Cyrille Chavet; Fabrice Lozachmeur; Thomas Barguil; Awais Sani Hussein; Philippe Coussy },
publisher = {IEEE SigPort},
title = {SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD},
year = {2019} }
TY - EJOUR
T1 - SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD
AU - Cyrille Chavet; Fabrice Lozachmeur; Thomas Barguil; Awais Sani Hussein; Philippe Coussy
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4455
ER -
Cyrille Chavet, Fabrice Lozachmeur, Thomas Barguil, Awais Sani Hussein, Philippe Coussy. (2019). SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD. IEEE SigPort. http://sigport.org/4455
Cyrille Chavet, Fabrice Lozachmeur, Thomas Barguil, Awais Sani Hussein, Philippe Coussy, 2019. SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD. Available at: http://sigport.org/4455.
Cyrille Chavet, Fabrice Lozachmeur, Thomas Barguil, Awais Sani Hussein, Philippe Coussy. (2019). "SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD." Web.
1. Cyrille Chavet, Fabrice Lozachmeur, Thomas Barguil, Awais Sani Hussein, Philippe Coussy. SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4455

On reducing the effect of speaker overlap for CHiME-5


The CHiME-5 speech separation and recognition challenge was recently shown to pose a difficult task for the current automatic speech recognition systems.
Speaker overlap was one of the main difficulties of the challenge. The presence of noise, reverberation and the moving speakers have made the traditional source separation methods ineffective in improving the recognition accuracy.
In this paper we have explored several enhancement strategies aimed to reduce the effect of speaker overlap for CHiME-5 without performing source separation.

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Authors:
Catalin Zorila, Rama Doddipatla
Submitted On:
11 May 2019 - 8:58pm
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[1] Catalin Zorila, Rama Doddipatla, "On reducing the effect of speaker overlap for CHiME-5", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4454. Accessed: May. 23, 2019.
@article{4454-19,
url = {http://sigport.org/4454},
author = {Catalin Zorila; Rama Doddipatla },
publisher = {IEEE SigPort},
title = {On reducing the effect of speaker overlap for CHiME-5},
year = {2019} }
TY - EJOUR
T1 - On reducing the effect of speaker overlap for CHiME-5
AU - Catalin Zorila; Rama Doddipatla
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4454
ER -
Catalin Zorila, Rama Doddipatla. (2019). On reducing the effect of speaker overlap for CHiME-5. IEEE SigPort. http://sigport.org/4454
Catalin Zorila, Rama Doddipatla, 2019. On reducing the effect of speaker overlap for CHiME-5. Available at: http://sigport.org/4454.
Catalin Zorila, Rama Doddipatla. (2019). "On reducing the effect of speaker overlap for CHiME-5." Web.
1. Catalin Zorila, Rama Doddipatla. On reducing the effect of speaker overlap for CHiME-5 [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4454

Detectability of Denial-of-Service Attacks on Communication Systems


Wireless communication systems are inherently vulnerable to adversarial attacks since malevolent jammers might jam and disrupt the legitimate transmission intentionally. Accordingly it is of crucial interest for the legitimate users to detect such adversarial attacks. This paper develops a detection framework based on Turing machines and studies the detectability of adversarial attacks. Of particular interest are so-called denial-of-service attacks in which the jammer is able to completely prevent any transmission.

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Authors:
Holger Boche, Rafael F. Schaefer, and H. Vincent Poor
Submitted On:
16 May 2019 - 4:44am
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[1] Holger Boche, Rafael F. Schaefer, and H. Vincent Poor, "Detectability of Denial-of-Service Attacks on Communication Systems", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4453. Accessed: May. 23, 2019.
@article{4453-19,
url = {http://sigport.org/4453},
author = {Holger Boche; Rafael F. Schaefer; and H. Vincent Poor },
publisher = {IEEE SigPort},
title = {Detectability of Denial-of-Service Attacks on Communication Systems},
year = {2019} }
TY - EJOUR
T1 - Detectability of Denial-of-Service Attacks on Communication Systems
AU - Holger Boche; Rafael F. Schaefer; and H. Vincent Poor
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4453
ER -
Holger Boche, Rafael F. Schaefer, and H. Vincent Poor. (2019). Detectability of Denial-of-Service Attacks on Communication Systems. IEEE SigPort. http://sigport.org/4453
Holger Boche, Rafael F. Schaefer, and H. Vincent Poor, 2019. Detectability of Denial-of-Service Attacks on Communication Systems. Available at: http://sigport.org/4453.
Holger Boche, Rafael F. Schaefer, and H. Vincent Poor. (2019). "Detectability of Denial-of-Service Attacks on Communication Systems." Web.
1. Holger Boche, Rafael F. Schaefer, and H. Vincent Poor. Detectability of Denial-of-Service Attacks on Communication Systems [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4453

Fusing Eigenvalues

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Authors:
Shahab Basiri, Esa Ollila, Gordana Drašković, Frédéric Pascal
Submitted On:
16 May 2019 - 12:25pm
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[1] Shahab Basiri, Esa Ollila, Gordana Drašković, Frédéric Pascal, "Fusing Eigenvalues", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4452. Accessed: May. 23, 2019.
@article{4452-19,
url = {http://sigport.org/4452},
author = {Shahab Basiri; Esa Ollila; Gordana Drašković; Frédéric Pascal },
publisher = {IEEE SigPort},
title = {Fusing Eigenvalues},
year = {2019} }
TY - EJOUR
T1 - Fusing Eigenvalues
AU - Shahab Basiri; Esa Ollila; Gordana Drašković; Frédéric Pascal
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4452
ER -
Shahab Basiri, Esa Ollila, Gordana Drašković, Frédéric Pascal. (2019). Fusing Eigenvalues. IEEE SigPort. http://sigport.org/4452
Shahab Basiri, Esa Ollila, Gordana Drašković, Frédéric Pascal, 2019. Fusing Eigenvalues. Available at: http://sigport.org/4452.
Shahab Basiri, Esa Ollila, Gordana Drašković, Frédéric Pascal. (2019). "Fusing Eigenvalues." Web.
1. Shahab Basiri, Esa Ollila, Gordana Drašković, Frédéric Pascal. Fusing Eigenvalues [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4452

Optimal Feature Selection for Blind Super-Resolution Image Quality Evaluation


The visual quality of images resulting from Super Resolution (SR) techniques is predicted with blind image quality assessment (BIQA) models trained on a database(s) of human rated distorted images and associated human subjective opinion scores. Such opinion-aware (OA) methods need a large amount of training samples with associated human subjective scores, which are scarce in the field of SR. By contrast, opinion distortion unaware (ODU) methods do not need human subjective scores for training.

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Authors:
Juan Berón, Hernán Darío Benítez Restrepo, Alan C. Bovik
Submitted On:
11 May 2019 - 3:49pm
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OPTIMAL_FEATURE_SELECTION_FOR_BLIND_SUPER-RESOLUTION_IMAGE_QUALITY_EVALUATION

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[1] Juan Berón, Hernán Darío Benítez Restrepo, Alan C. Bovik, "Optimal Feature Selection for Blind Super-Resolution Image Quality Evaluation", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4451. Accessed: May. 23, 2019.
@article{4451-19,
url = {http://sigport.org/4451},
author = {Juan Berón; Hernán Darío Benítez Restrepo; Alan C. Bovik },
publisher = {IEEE SigPort},
title = {Optimal Feature Selection for Blind Super-Resolution Image Quality Evaluation},
year = {2019} }
TY - EJOUR
T1 - Optimal Feature Selection for Blind Super-Resolution Image Quality Evaluation
AU - Juan Berón; Hernán Darío Benítez Restrepo; Alan C. Bovik
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4451
ER -
Juan Berón, Hernán Darío Benítez Restrepo, Alan C. Bovik. (2019). Optimal Feature Selection for Blind Super-Resolution Image Quality Evaluation. IEEE SigPort. http://sigport.org/4451
Juan Berón, Hernán Darío Benítez Restrepo, Alan C. Bovik, 2019. Optimal Feature Selection for Blind Super-Resolution Image Quality Evaluation. Available at: http://sigport.org/4451.
Juan Berón, Hernán Darío Benítez Restrepo, Alan C. Bovik. (2019). "Optimal Feature Selection for Blind Super-Resolution Image Quality Evaluation." Web.
1. Juan Berón, Hernán Darío Benítez Restrepo, Alan C. Bovik. Optimal Feature Selection for Blind Super-Resolution Image Quality Evaluation [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4451

Acoustic Impulse Responses for Wearable Audio Devices


We present an open-access dataset of over 8000 acoustic impulse from 160 microphones spread across the body and affixed to wearable accessories. The data can be used to evaluate audio capture and array processing systems using wearable devices such as hearing aids, headphones, eyeglasses, jewelry, and clothing. We analyze the acoustic transfer functions

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Authors:
Ryan M. Corey, Naoki Tsuda, Andrew C. Singer
Submitted On:
11 May 2019 - 2:30pm
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[1] Ryan M. Corey, Naoki Tsuda, Andrew C. Singer, "Acoustic Impulse Responses for Wearable Audio Devices", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4450. Accessed: May. 23, 2019.
@article{4450-19,
url = {http://sigport.org/4450},
author = {Ryan M. Corey; Naoki Tsuda; Andrew C. Singer },
publisher = {IEEE SigPort},
title = {Acoustic Impulse Responses for Wearable Audio Devices},
year = {2019} }
TY - EJOUR
T1 - Acoustic Impulse Responses for Wearable Audio Devices
AU - Ryan M. Corey; Naoki Tsuda; Andrew C. Singer
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4450
ER -
Ryan M. Corey, Naoki Tsuda, Andrew C. Singer. (2019). Acoustic Impulse Responses for Wearable Audio Devices. IEEE SigPort. http://sigport.org/4450
Ryan M. Corey, Naoki Tsuda, Andrew C. Singer, 2019. Acoustic Impulse Responses for Wearable Audio Devices. Available at: http://sigport.org/4450.
Ryan M. Corey, Naoki Tsuda, Andrew C. Singer. (2019). "Acoustic Impulse Responses for Wearable Audio Devices." Web.
1. Ryan M. Corey, Naoki Tsuda, Andrew C. Singer. Acoustic Impulse Responses for Wearable Audio Devices [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4450

Multiple-Graph Recurrent Graph Convolutional Neural Network architectures for predicting disease outcomes


Improving disease outcome prediction can greatly aid in the strategic deployment of secondary prevention approaches. We develop a method to predict the evolution of diseases by taking into account personal attributes of the subjects and their relationships with medical examination results. Our approach builds upon a recent formulation of this problem as a graph-based geometric matrix completion task. The primary innovation is the introduction of multiple graphs, each relying on a different combination of subject attributes.

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Authors:
Juliette Valenchon, Mark Coates
Submitted On:
11 May 2019 - 1:04pm
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Poster ICASSP 2019

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[1] Juliette Valenchon, Mark Coates, "Multiple-Graph Recurrent Graph Convolutional Neural Network architectures for predicting disease outcomes", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4449. Accessed: May. 23, 2019.
@article{4449-19,
url = {http://sigport.org/4449},
author = {Juliette Valenchon; Mark Coates },
publisher = {IEEE SigPort},
title = {Multiple-Graph Recurrent Graph Convolutional Neural Network architectures for predicting disease outcomes},
year = {2019} }
TY - EJOUR
T1 - Multiple-Graph Recurrent Graph Convolutional Neural Network architectures for predicting disease outcomes
AU - Juliette Valenchon; Mark Coates
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4449
ER -
Juliette Valenchon, Mark Coates. (2019). Multiple-Graph Recurrent Graph Convolutional Neural Network architectures for predicting disease outcomes. IEEE SigPort. http://sigport.org/4449
Juliette Valenchon, Mark Coates, 2019. Multiple-Graph Recurrent Graph Convolutional Neural Network architectures for predicting disease outcomes. Available at: http://sigport.org/4449.
Juliette Valenchon, Mark Coates. (2019). "Multiple-Graph Recurrent Graph Convolutional Neural Network architectures for predicting disease outcomes." Web.
1. Juliette Valenchon, Mark Coates. Multiple-Graph Recurrent Graph Convolutional Neural Network architectures for predicting disease outcomes [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4449

ONLINE ESTIMATION AND SMOOTHING OF A TARGET TRAJECTORY IN MIXED STATIONARY/MOVING CONDITIONS


A novel maximum likelihood trajectory estimation algorithm for targets in mixed stationary/moving conditions is presented. The proposed approach is able to estimate position and velocity of the target over arbitrary complex trajectories, while explicitly taking into account the possibility of stop&go motion. Moreover, a novel trajectory reconstruction method based on the theory of Bezier curve is developed for online smoothing of the trajectory, which keeps the advantages of Bayesian smoothing while introducing only a fixed lag in the estimation process.

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Authors:
Angelo Coluccia, Alessio Fascista, Giuseppe Ricci
Submitted On:
11 May 2019 - 12:32pm
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Poster ICASSP 2019

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[1] Angelo Coluccia, Alessio Fascista, Giuseppe Ricci, "ONLINE ESTIMATION AND SMOOTHING OF A TARGET TRAJECTORY IN MIXED STATIONARY/MOVING CONDITIONS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4448. Accessed: May. 23, 2019.
@article{4448-19,
url = {http://sigport.org/4448},
author = {Angelo Coluccia; Alessio Fascista; Giuseppe Ricci },
publisher = {IEEE SigPort},
title = {ONLINE ESTIMATION AND SMOOTHING OF A TARGET TRAJECTORY IN MIXED STATIONARY/MOVING CONDITIONS},
year = {2019} }
TY - EJOUR
T1 - ONLINE ESTIMATION AND SMOOTHING OF A TARGET TRAJECTORY IN MIXED STATIONARY/MOVING CONDITIONS
AU - Angelo Coluccia; Alessio Fascista; Giuseppe Ricci
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4448
ER -
Angelo Coluccia, Alessio Fascista, Giuseppe Ricci. (2019). ONLINE ESTIMATION AND SMOOTHING OF A TARGET TRAJECTORY IN MIXED STATIONARY/MOVING CONDITIONS. IEEE SigPort. http://sigport.org/4448
Angelo Coluccia, Alessio Fascista, Giuseppe Ricci, 2019. ONLINE ESTIMATION AND SMOOTHING OF A TARGET TRAJECTORY IN MIXED STATIONARY/MOVING CONDITIONS. Available at: http://sigport.org/4448.
Angelo Coluccia, Alessio Fascista, Giuseppe Ricci. (2019). "ONLINE ESTIMATION AND SMOOTHING OF A TARGET TRAJECTORY IN MIXED STATIONARY/MOVING CONDITIONS." Web.
1. Angelo Coluccia, Alessio Fascista, Giuseppe Ricci. ONLINE ESTIMATION AND SMOOTHING OF A TARGET TRAJECTORY IN MIXED STATIONARY/MOVING CONDITIONS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4448

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