Aim

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