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IPAS 2027: IEEE International Conference on Image Processing Applications and Systems

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截稿日期:
2026-11-10 还有 38 天
通知日期:
2026-12-15
会议日期:
2027-04-06
会议地点:
Castellon de la Plana, Spain
届数:
7
ICORE: C   浏览: 991   关注: 0   参加: 0

会伴指数 (CP-I)

48.0 / 100
全站第 2,104 名 / 共 5,693 个会议 · 前 37%

计算机视觉与模式识别 第 99 / 246

学术认可 (35%)
58
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
56
社区关注 (10%)
12
资料公开度 (15%)
35

用到的输入: 收录等级：ICORE C · 有据可查的届次：7 · 过去 24 个月打开过本页的研究者：4 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-03

征稿

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
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