Excellence in Research and Innovation for Humanity

ICMV 2018 : 20th International Conference on Machine Vision

Barcelona, Spain
February 27 - 28, 2018

Conference Code: 18ES02ICMV

Conference Proceedings

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

Special Journal Issues

ICMV 2018 has teamed up with the Special Journal Issue on Machine Vision. 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   December 31, 2017
Notification of Acceptance/Rejection   January 20, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   January 26, 2018
Conference Dates   February 27 - 28, 2018

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) Long Short-Term Memory Based Model for Modeling Nicotine Consumption Using an Electronic Cigarette and Internet of Things Devices
Hamdi Amroun, Yacine Benziani, Mehdi Ammi
2) Use of Indian Food Mascot Design as an Advertising Tool in Maintaining and Growing the Brand Name
Preeti Yadav, Dandeswar Bisoyi, Debkumar Chakrabarti
3) An Intelligent Baby Care System Based on IoT and Deep Learning Techniques
Chinlun Lai, Lunjyh Jiang
4) Affective Robots: Evaluation of Automatic Emotion Recognition Approaches on a Humanoid Robot towards Emotionally Intelligent Machines
Silvia Santano Guillén, Luigi Lo Iacono, Christian Meder
5) A Review on Medical Image Registration Techniques
Shadrack Mambo, Karim Djouani, Yskandar Hamam, Barend van Wyk, Patrick Siarry
6) An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
7) Hand Gesture Detection via EmguCV Canny Pruning
N. N. Mosola, S. J. Molete, L. S. Masoebe, M. Letsae
8) Medical Image Watermark and Tamper Detection Using Constant Correlation Spread Spectrum Watermarking
Peter U. Eze, P. Udaya, Robin J. Evans
9) A Speeded up Robust Scale-Invariant Feature Transform Currency Recognition Algorithm
Daliyah S. Aljutaili, Redna A. Almutlaq, Suha A. Alharbi, Dina M. Ibrahim
10) Neuron Efficiency in Fluid Dynamics and Prediction of Groundwater Reservoirs'' Properties Using Pattern Recognition
J. K. Adedeji, S. T. Ijatuyi
11) Automated Heart Sound Classification from Unsegmented Phonocardiogram Signals Using Time Frequency Features
Nadia Masood Khan, Muhammad Salman Khan, Gul Muhammad Khan
12) Pareidolia and Perception of Anger in Vehicle Styles: Survey Results
Alan S. Hoback
13) A Neural Network Classifier for Estimation of the Degree of Infestation by Late Blight on Tomato Leaves
Gizelle K. Vianna, Gabriel V. Cunha, Gustavo S. Oliveira
14) Genetic Algorithm Based Deep Learning Parameters Tuning for Robot Object Recognition and Grasping
Delowar Hossain, Genci Capi
15) Detecting Tomato Flowers in Greenhouses Using Computer Vision
Dor Oppenheim, Yael Edan, Guy Shani

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