International Journal of Image Processing and Vision Sciences (IJIPVS) (ISSN: 2278-1110)

Description

The International Journal of Image Processing and Vision Sciences (IJIPVS) provides the latest industry findings useful to academicians, researchers, and practitioners regarding the latest developments in the areas of science and technology of machines, imaging, and their related applications, systems, and tools. This journal contains unique articles of original, innovative research in the area of computer science, education, security, government, engineering disciplines, software industry, vehicle industry, medical industry, and other fields. IJIPVS is intended as an effective medium to spread the results of high quality applied research and fundamental, theoretical, particularly in the domain of computer vision and image interpretation. The journal also invites book reviews, position papers, editorials from researchers and professionals.
IJIPVS emphasis is on the publication of original research papers, position papers discussing and delivering researcher philosophies, viewpoints, surveys, critical reviews or comparisons papers are published. The journal publishes article that proposes a novel computer vision methodology or addresses the related application in the real world scenes. It looks for to strengthen a better understanding in the discipline by encouraging the quantitative comparison and performance evaluation of the proposed methodology. IJIPVS is covering all aspects of image analysis from the low-level, iconic processes of early vision to the high-level, symbolic processes of recognition and interpretation. A wide range of topics in the image understanding area is covered but not limited to the following:
Topic Coverage
IJIPVS shall cover the following areas but not limited to:
Mathematical, physical and computational aspects of computer vision such as image formation, processing, analysis, and interpretation.
Machine learning techniques
Statistical and probabilistic approaches.
Biologically and perceptually motivated approaches to low level vision
Image-based rendering
Robotics and Robot Vision
Photo interpretation
Image retrieval
Video analysis and annotation,
Multi-media and scene modeling
Object recognition and tracking
Shape analysis, monitoring and surveillance
Active vision and robotic systems
SLAM, motion analysis
Stereo vision
Document image understanding, character and handwritten text recognition
Face and gesture recognition
Biometrics and surveillance security
Vision-based human-computer interaction
Human activity and behavior understanding
Data fusion from multiple sensor inputs
Image databases, medical image analysis and understanding
Aerial scene analysis and remote sensing
Vehicle guidance, image-based rendering
Computer graphics, robotics, photo interpretation
Image retrieval, video analysis and annotation, multi-media, and more.
Computational models of the human visual system
Early vision, data structures and representations needed for high-level vision
Learning with visual inputs
Connections with human perception
Computational and architectural aspects of human vision