IPAS 2027 (IEEE International Conference on Image Processing Applications and Systems) is a ICORE C conference held in Castellon de la Plana, Spain on 2027-04-06. The paper submission deadline is 2026-11-10. Acceptance notifications are sent on 2026-12-15.
Image Processing is covering nowadays larger fields of Applications. It is about observing the world with new “eyes”, seeing deeper things and exploring more informations, more understanding and analysing for beeing able to handle expert rules and systems, also about decision making, artificial intelligence, about beeing smarter and going beyond human intelligence.
Low level human processing theory and methods, as well as image and video processing theory will be of great focus. IEEE IPAS conference is devoted to the current technological revolution, where the image is the central focus of modern research. It impacts nearly every aspect of our daily life. Artificial intelligence, handling images, is becoming a systemic technology. It provides the highest performance benchmarks for modern systems.
The scope of Image Processing Applications is vast and highly specialized. Medical image processing remains a fundamental research pillar. Mechanical applications and precision measurement rely heavily on these systems. Robotics and autonomous systems use vision for navigation and interaction. Digital twins create virtual replicas of physical assets for simulation. Furthermore, vision technologies power smart city infrastructure. This includes automated waste management and traffic congestion optimization. These diverse fields demonstrate the broad reach of the conference.
Industry is rapidly integrating Image Processing with AI-based solutions. Current research focuses on large-scale industrial deployment. These systems must meet complex real-world implementation criteria.
Edge AI deployment is a critical frontier. Modern hardware requires highly optimized solutions. Knowledge distillation techniques help compress complex models. Pruning methods further reduce computational demands. These smarter approaches allow AI to run on compact devices. IPAS highlights these advancements as core technical axes.
As we consider complex and real time practical applications, many challenges have to be solved. Signal, Image and Video analysis and interpretation is a research issue which is more explored in different research frameworks, such as human activity recongition applications, smart city applications, image retrieval, tracking, etc. Image Processing Applications for Virtual and Augmented Reality have make a revolution in medical surgery and in advertisement and touristic applications. The user can just see beyond real sight. Medical Imaging makes use of different modalities for screeing, where each modality is exploring a specific interaction of the body and/or pathological transformations with the different electromagnetic wavelengths. Ultrasound, mammograms, Magnetic Resonance Imaging, and multimodal medical imaging are of great interest in our conference. Application of deep learning in modern medical systems is still an open research problem, for the relatively small sample number in some medical pathologies and the challenge is how to make the deep network able to learn from the existing samples.
The international Image Processing Applications and Systems conference aims at grouping from all over the world challenging researchers, innovators, academicians, and practitioners in image processing theory and tools, for exchanging their research achievements and discussing their main issues. The conference will also offer an opportunity to make a bridge between image processing researchers and industrial parts for discussing their research roadmap and research valorization.
High quality original papers are welcome in all areas of computer vision applications. Accepted papers will be submitted for possible inclusion into IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.
Paper Submission: Papers should report high quality research and describe original contributions.
Main topics contain, but are not limited to:
Image Processing Theory and Methods
Image and Video Processing Theory
Image and video analysis and interpretation
Real Time Image Processing
Categorization and Indexing
Content Based Image Retrieval
Low level image Processing & Image Segmentation
Large Scale Methods Motion and Tracking
Human Focused Analysis
3D Computer Vision
Vision for Robotics
Computer Vision for Virtual and Augmented reality
Biologically Inspired Computer Vision and Image Processing
GPU-based Image Processing and Computer Vision
Computer Vision for tourism applications
Computer Vision and Image Processing for cultural heritage applications
Speech Processing
Vision for Web Applications
Underwater acoustic imaging
Underwater video imaging
Remote Sensing and Signal Processing
Communication, Networking and Broadcast Technologies
Computing and Processing applied to sensing the earth, oceans, atmosphere and space, and the processing, interpretation
Theory, concepts, and techniques of science and engineering applied to Geoscience
Medical Engineering and Healthcare applications
Medical Image Processing and Computer Aided Diagnosis, Computer Aided Detection
Computer Vision and Image Processing for healthcare applications
Ultrasound, mammograms, Magnetic Resonance Imaging, and multimodal medical imaging
Image processing and Big Data
Data Selection
Image Processing for Cyber Security
Signal Processing for Smart Systems and Sensors
Hardware Implementation & Co-design
Possibility Theory and Decision Making Systems
FPGA Reconfigurable Systems
Ontology based Image Representation & Processing
Image Processing and biometric systems
Multimodal Biometric Systems
Statistical learning
Pattern Analysis and Machine Intelligence
Computer Vision Theory and Deep Learning
Artificial Intelligence
Convolutional Neural Networks
Generative and Adversial Neural Networks (GANs)
Operating systems, software systems, and communication protocols
Real-time systems and embedded systems
Performance, fault tolerance, reliability, security, and testability
Case studies and experimental and theoretical evaluations
New and important applications and trends in computer vision
Affective computing: Sensing & analysis, algorithms and features for the recognition of affective state from face and body gestures
Analysis of text and spoken language for emotion recognition
Analysis of prosody and voice quality of affective speech
Recognition of auditory and visual affect bursts
Innovative studies in Cloud Computing applications
Aún no hay comentarios.