Program for 2019 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)

Time Pullman 6 Pullman 7 Pullman 8

Tuesday, September 17

08:00-08:40 Registration
08:40-10:00 Biomedical Signal Processing 1 Computer Vision: Feature Extraction & Classification Signal Processing in Communication
10:00-10:30 Coffee Break
10:30-10:40 Welcome Address
10:40-11:40 Keynote Speech 1
11:40-11:50 Technical Chair's report
11:50-12:50 Keynote Speech 2
12:50-13:00 Photo Session
13:00-14:00 Lunch
14:00-15:40 Biomedical Signal Processing 2 Image Filtering, Registration & Segmentation 1 Big Data & Deep Learning Applications
15:40-16:10 Tea Break
16:10-17:10 Biomedical Signal Processing 3 Computer Vision: Feature Extraction & Classification 2 Video Processing 1

Wednesday, September 18

08:40-10:00 Image Compression, Retrieval, Rendering & Display 1 Image Enhancement & Restoration 1 Signal Processing Applications 1
10:00-10:30 Coffee break
10:30-10:40 Chapter Chair's report
10:40-11:40 Keynote Speech 3
11:40-12:30 Three-Minute Thesis Presentation    
12:30-14:00 Lunch
14:00-16:00 Image Compression, Retrieval, Rendering & Display 2 Image Filtering, Registration & Segmentation 2 Video Processing 2
15:00-16:00 Signal Processing Applications 2
15:20-16:00 Image Enhancement & Restoration 2
16:00-16:30 Tea break
18:30-22:00 Conference Dinner

Thursday, September 19

09:00-17:00 Artificial Intelligence, Machine Learning and Deep Learning using SCILAB
17:00-17:10 Closing    

Tuesday, September 17

Registration

Biomedical Signal Processing 1

BSP 1.1 Development of Simulator for Robot Assisted Surgical Platform for Cholecystectomy Training
BSP 1.2 Systolic Murmurs Diagnosis Improvement by Features and Decision Fusion
BSP 1.3 Improved Singular Value Decomposition-based Exons Prediction Approach Using Forward-backward Filtering
BSP 1.4 Identification of Asthmatic Patient During Exercise Using Feature Extraction of Carbon Dioxide Waveform

Computer Vision: Feature Extraction & Classification

FEC 1.1 Enhanced Face Recognition Method Based On Local Binary Pattern and Principal Component Analysis For Efficient Class Attendance System
FEC 1.2 Wound Area Segmentation Using 4-D Probability Map and Superpixel Region Growing
FEC 1.3 Facial Expression Recognition Using Shearlet Transform and Kirsch Masking
FEC 1.4 Study of Convolutional Neural Network in Recognizing Static American Sign Language

Signal Processing in Communication

SPC.1 Multi-user mmWave MIMO Channel Estimation with Hybrid Beamforming over Frequency Selective Fading Channels
SPC.2 A Channel Model for Three-node Two-way Relay-aided PLC Systems
SPC.3 Generalized Stability Triangle and Robust Phase Compensator Design
SPC.4 Roundoff Noise Minimization Using Jointly Optimized Error Feedback and Realization for State-Space Digital Filters

Coffee Break

Welcome Address

Keynote Speech 1

Adaptive Networks

Technical Chair's report

Keynote Speech 2

AI with EQ - Helping Machines to Recognize Human Emotions

Photo Session

Lunch

Biomedical Signal Processing 2

BSP 2.1 Can background music relieve stress? An EEG analysis
BSP 2.2 Automated Grading of Diabetic Retinopathy in Retinal Fundus images using Deep Learning
BSP 2.3 Short-time-span EEG-based personalized emotion recognition with deep convolutional neural network
BSP 2.4 The Design and Development of Automated Knee Cartilage Segmentation Framework
BSP 2.5 BiT_C Detector: Gallstones Detection for Ultrasound Images

Image Filtering, Registration & Segmentation 1

FRS 1.1 Evaluation of Local Features for Near-Uniform Scene Images
FRS 1.2 Pavement Images Denoising with Cracks Detection and Classification Using 2D Discrete Wavelet Transform and Savitzky-Golay Filters
FRS 1.3 Image Sharpening with Optimized PSNR
FRS 1.4 ORB-PC feature-based image registration
FRS 1.5 A Pattern Analysis-based Segmentation to Localize Early and Late Blight Disease Lesions in Digital Images of Plant Leaves

Big Data & Deep Learning Applications

BDA.1 Advanced And Minor Lung Disease Severity Classification Using Deep Features
BDA.2 Local Receptive Field Extreme Learning Machine based adult content detection
BDA.3 Deep Neural Networks are Really Undefeatable for Human Conflicting and Non-conflicting Event Detection
BDA.4 Compact Convolutional Neural Networks for Pterygium Classification using Transfer Learning
BDA.5 Acoustic Pornography Recognition Using Recurrent Neural Network

Tea Break

Biomedical Signal Processing 3

An Overview of Respiratory Airflow Estimation Techniques: Acoustic vs Non-Acoustic
Enhancement in the Identification of Slough Tissue in Chronic Wound Assessment
Automated and Online Eye Blink Artifact Removal from Electroencephalogram

Computer Vision: Feature Extraction & Classification 2

Car Wiper Arm Defect Detection Using Gabor Filter
Hybrid Featured based Pyramid Structured CNN for Texture Classification
Simultaneous Prediction of Valence / Arousal and Emotion Categories in Real-time

Video Processing 1

Analysis of Joints for Tracking Fitness and Monitoring Progress in Physiotherapy
Measuring Of Real-Time Traffic Flow Using Video From Multiple IP-Based Cameras
Framework for Pedestrian Detection, Tracking and Re-identification in Video Surveillance System

Wednesday, September 18

Image Compression, Retrieval, Rendering & Display 1

CRR 1.1 Real-time Motion Detection in Extremely Subsampled Compressive Sensing Video
CRR 1.2 Quality Assessment for Natural and Screen Content Images
CRR 1.3 Radio Cellular Forensics Analysis: Where is the Adversary?
CRR 1.4 Performance Comparison Between SURF and SIFT for Content-Based Image Retrieval

Image Enhancement & Restoration 1

IER 1.1 A Model-Based Method for Pan-Sharpening of Multi-Spectral Images using Sparse Representation
IER 1.2 Additive Noise Level Estimation Based on Singular Value Decomposition (SVD) in Natural Digital Images
IER 1.3 Local Blurred Natural Image Restoration Based on Self-Reference Deblurring Generative Adversarial Networks
IER 1.4 Coloured Synthetic Enhancement of Image Edge Obtained With X-Ray Imaging for Structural Integrity Inspection

Signal Processing Applications 1

SPA 1.1 Robust Graph Topology Learning and Application in Stock Market Inference
SPA 1.2 Improvement of Data-Driven 3-D Surface Quality Inspection by Deformation Simulation
SPA 1.3 Recovery of Undersampled Sparse Signals using Combined Smoothed L0-L1 Norm
SPA 1.4 Protecting Secret Data using RDE and Fuzzy Logic to Specify the Embedding Level

Coffee break

Chapter Chair's report

Keynote Speech 3

A 7-Level Smart Home System for XY Generations

Three-Minute Thesis Presentation

Lunch

Image Compression, Retrieval, Rendering & Display 2

CRR 2.1 Simulation Study of Two-Phase Fluid 3D Imaging Using Lab-on-Chip ECT
CRR 2.2 Ultrasound Tomography Hardware System for Multiphase Flow Imaging
CRR 2.3 Simple Triangulation for Asynchronous Stereo Cameras
CRR 2.4 Simplified Light Probe using Minimal Number of Photodiodes

Image Filtering, Registration & Segmentation 2

FRS 2.1 An Effiecent Non-Occluded Face Area Detection Method under Unconstrained Environment of Smartphone Database
FRS 2.2 Edge-guided Hierarchically Nested Network for Real-time Semantic Segmentation
FRS 2.3 An Empirical Investigation on the Effect of Shape Exaggeration in Face Sketch to Photo Matching
FRS 2.4 Combination of Canny Edge Detection and Blob Processing Techniques for Shrimp Larvae Counting
FRS 2.5 IoT Application in River Monitoring: Methods and Challenges
FRS 2.6 Exploiting Koinophilia-Phenomena To Classify Geographic Origin

Video Processing 2

VP 2.1 Localized Background Subtraction Feature-Based Approach for Vehicle Counting
VP 2.2 Compact Video Analysis Human Action Recognition Approach
VP 2.3 City Tracker: Multiple Object Tracking in Urban Mixed Traffic Scenes

Signal Processing Applications 2

SPA 2.1 Data Augmentation for Historical Documents via Cascade Variational Auto-Encoder
SPA 2.2 Finite Element Analysis for Yeast Cells using Electrical Capacitance Tomography
SPA 2.3 Reliability analysis of Pneumatic Control Valve in Process Plant Using Simulated Failure Data

Image Enhancement & Restoration 2

IER 2.1 Comparison of Super Resolution Methods in Magnetic Resonance Images for Small Animals
IER 2.2 Natural Image Deblurring using Recursive Deep Convolutional Neural Network (R-DbCNN) and Second-Generation Wavelets

Tea break

Conference Dinner

Serai, Level 7, The Pavillion (only for Full registration or those purchasing the Banquet tickets): * about 10 minutes of walking from the conference venue.

Thursday, September 19

Artificial Intelligence, Machine Learning and Deep Learning using SCILAB

Closing