Deep Vision Algorithms and Applications

Dear Colleagues,

We are pleased to invite you to contribute on the topic of intelligent vision systems and their various applications. To achieve an intelligent vision system, dealing with sophisticated artificial intelligence (AI) technology is an inevitability. In AI technology, the core technology of deep learning has been based on deep neural networks and their training mechanisms. Through deep leaning-based approaches, many problems have been solved regarding various applications, especially in the field of classification and recognition. Despite the rapid development of deep learning approaches, further progress in visual feature extraction and pattern mining remain important for accelerating this kind of development.

This Special Issue aims to publish scientific papers on various big vision data analysis and vision data-based artificial intelligence technologies. The scope includes various topics from visual feature extraction, visual pattern recognition, deep learning structure, and learning methods to the results of their application in various fields.

For this Special Issue, both original research articles and reviews are welcome. Specific areas of research interest include (but are not limited to) the following:

• Big vision data analysis
• Vision data mining and pattern recognition
• Visual feature extraction
• Intelligent vision systems
• Deep learning structures and optimization mechanisms
• Lightweight deep vision structures
• Various applications of deep vision schemes
• Novel data fusion schemes with vision data
• Vision sensor network and distributed processing
• Deep neural networks for multimedia data processing
• Human-centric vision systems and technologies

We look forward to receiving your valuable contributions.

Prof. Dr. Byung-Gyu Kim
Prof. Dr. Partha Pratim Roy
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.