Open Science Research Excellence

ICCVPA 2022 : International Conference on Voice and Vision Processing Applications

Sydney, Australia
May 17 - 18, 2022

Conference Code: 22AU05ICCVPA

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICCVPA 2022 has teamed up with the Special Journal Issue on Voice and Vision Processing Applications. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   May 31, 2021
Notification of Acceptance/Rejection   June 15, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   April 16, 2022
Conference Dates   May 17 - 18, 2022

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Thresholding Approach for Automatic Detection of Pseudomonas aeruginosa Biofilms from Fluorescence in situ Hybridization Images
Zonglin Yang, Tatsuya Akiyama, Kerry S. Williamson, Michael J. Franklin, Thiruvarangan Ramaraj
2) Deep Learning Based 6D Pose Estimation for Bin-Picking Using 3D Point Clouds
Hesheng Wang, Haoyu Wang, Chungang Zhuang
3) Verification and Proposal of Information Processing Model Using EEG-Based Brain Activity Monitoring
Toshitaka Higashino, Naoki Wakamiya
4) Computer Countenanced Diagnosis of Skin Nodule Detection and Histogram Augmentation: Extracting System for Skin Cancer
S. Zith Dey Babu, S. Kour, S. Verma, C. Verma, V. Pathania, A. Agrawal, V. Chaudhary, A. Manoj Puthur, R. Goyal, A. Pal, T. Danti Dey, A. Kumar, K. Wadhwa, O. Ved
5) Image Ranking to Assist Object Labeling for Training Detection Models
Tonislav Ivanov, Oleksii Nedashkivskyi, Denis Babeshko, Vadim Pinskiy, Matthew Putman
6) A Review in Advanced Digital Signal Processing Systems
Roza Dastres, Mohsen Soori
7) A Comparative Study of Medical Image Segmentation Methods for Tumor Detection
Mayssa Bensalah, Atef Boujelben, Mouna Baklouti, Mohamed Abid
8) Tibyan Automated Arabic Correction Using Machine-Learning in Detecting Syntactical Mistakes
Ashwag O. Maghraby, Nida N. Khan, Hosnia A. Ahmed, Ghufran N. Brohi, Hind F. Assouli, Jawaher S. Melibari
9) A Character Detection Method for Ancient Yi Books Based on Connected Components and Regressive Character Segmentation
Xu Han, Shanxiong Chen, Shiyu Zhu, Xiaoyu Lin, Fujia Zhao, Dingwang Wang
10) Vision Based People Tracking System
Boukerch Haroun, Luo Qing Sheng, Li Hua Shi, Boukraa Sebti
11) Online Pose Estimation and Tracking Approach with Siamese Region Proposal Network
Cheng Fang, Lingwei Quan, Cunyue Lu
12) Analysis of Image Segmentation Techniques for Diagnosis of Dental Caries in X-ray Images
V. Geetha, K. S. Aprameya
13) Neural Network Based Speech to Text in Malay Language
H. F. A. Abdul Ghani, R. R. Porle
14) A Review on Image Segmentation Techniques and Performance Measures
David Libouga Li Gwet, Marius Otesteanu, Ideal Oscar Libouga, Laurent Bitjoka, Gheorghe D. Popa
15) MITOS-RCNN: Mitotic Figure Detection in Breast Cancer Histopathology Images Using Region Based Convolutional Neural Networks
Siddhant Rao

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