Book Series: High Performance Vision Intelligence: Recent Advancements

The book dedicates to the challenges in vision intelligence including high performance computing applications. It includes all aspects of image analysis from the low-level (early vision aspects) to the high-level (recognition and interpretation aspects). The book covers a diverse set of research in cross-disciplinary themes and its applications ranges from computer vision, image processing, artificial intelligence, machine learning to cloud computing, IoT, and Big Data. The text provides an in-depth, multidisciplinary discussion of recent advancements and state-of-the-art methods in spectrum of disciplines. The publication is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in these fields. It also features explanatory, illustration of Algorithms, architecture, applications, software systems and data analytics in the scope of specified domain.

The work may be published in the book series: Studies in Computational Intelligence.

Submission Guidelines

The length of the Chapter Proposal (1000-2000 Words)  should be submitted in .doc/.docx format ( latest by July 10, 2019).

All full length Chapters (after proposal acceptance)  must be original and not simultaneously submitted to another journal or conference or anywhere else for consideration. 

• Full chapter should describe illustration of proposed algorithms, architecture, applications, software systems and data analytics in the scope of specified domain. It should also include charts and demonstratation to ground-breaking issues and addresses paradigms, development, and implications on each research area.
• The chapter should be submitted in given format (http://www.worldses.org/transactions/springer-template.doc).
• The page limit for chapter is 15-20 pages.

Submission Deadlines

List of Topics

• Internet of Things (IoTs)
• Image Processing
• Computer Vision
• High Performance Energy Efficient Computing (HPEEC)
• Cloud Computing
• Data Mining
• Artificial Intelligence
• Big Data Analytics

Publication

HPVI Book Series will be published by Springer

Contact

All questions about submissions should be emailed to submissionspaper@gmail.com