Conferences  >  Informatics  >  Multimedia, Computer Graphics and Visualization, Games

Ritsumeikan University, Japan

The advancements in computer vision, machine learning, and other related fields have led to an explosion of new techniques, tools, and applications for image and graphics processing. From deep learning-based image recognition to generative adversarial networks (GANs) for image synthesis, the possibilities are endless. This symposium provides a unique opportunity to exchange knowledge and ideas, as well as to network with leading experts in the field. We are excited to bring together researchers, engineers, and practitioners from around the world to share their latest findings, discuss emerging trends, and explore new directions.

Phone: [001-518-478-2659];     Email: aimee@iacsit.net

Track 1. Image Processing and Analysis - Image enhancement, restoration, and filtering - Image segmentation and object detection - Image compression, coding, and transmission - Medical image processing and analysis - Remote sensing and satellite image processing - Hyperspectral and multispectral image analysis Track 2. Computer Vision and Pattern Recognition - Object detection, tracking, and recognition - 3D vision and reconstruction - Motion analysis and action recognition - Scene understanding and semantic segmentation - Face, gesture, and pose recognition - Deep learning for computer vision tasks Track 3. Graphics and Visualization - Rendering techniques (real-time, photorealistic, non-photorealistic) - Geometric modeling and processing - Animation, simulation, and virtual reality - Augmented reality and mixed reality - Scientific and information visualization - GPU-based graphics and parallel computing

China University of Geosciences (Wuhan), China

It is with great pleasure to welcome you all to the 9th International Conference on Image and Graphics Processing (ICIGP 2026), which will be held during January 16-18, 2026 in Wuhan, China. ICIGP 2026 is sponsored by China University of Geosciences (Wuhan), China; hosted by School of Computer Science, China University of Geosciences (Wuhan), China; assisted by University of Central Lancashire, UK and Shandong Marine Resource and Environment Research Institute, China; Technical supported by The Institution of Engineering and Technology, UK, Harbin Engineering University, China and Wuhan University of Science and Technology, China.

The field of image and graphics processing is rapidly growing and evolving, with new techniques and applications emerging all the time.ICIGP 2026 is an excellent opportunity for researchers, academics,and industry professionals from around the world to come together and engage in lively discussions, exchange ideas, and form valuable connections with fellow professionals and experts in the field.

Phone: [+86-18000547208];     Email: aimee@iacsit.net

Track 1. Image Processing Techniques and Applications ▪ Image enhancement and restoration ▪ Image segmentation and feature extraction ▪ Image and video coding and compression Track 2. Computer Vision and Pattern Recognition ▪ Visual tracking and surveillance ▪ Face and gesture recognition ▪ Deep learning for vision Track 3. Computer Graphics and Animation ▪ Rendering and modeling ▪ Computational photography ▪ Visual effects and animation Track 4. Multimedia Technologies and Applications ▪ Audio and video processing ▪ Immersive and gaming environments ▪ Social media and multimedia Track 5. Human-Computer Interaction and Interface Design ▪ User experience design and evaluation ▪ Human factors and ergonomics ▪ Interaction design for mobile devices Track 6. Remote Sensing and Geospatial Image Processing ▪ Image analysis for environmental monitoring ▪ Geospatial data processing and analysis ▪ Radar and LiDAR imaging ▪ Satellite image processing and analysis Track 7. Security and Privacy in Image and Graphics Processing ▪ Image and video encryption and watermarking ▪ Multimedia forensics and authentication ▪ Privacy-preserving image and video analysis ▪ Cybersecurity and image forensics

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Faithful data representation is key. While this is universally true for visual analysis, the field of biological data communication has its unique challenges and open questions. Researchers need the right context to interpret data accurately, especially when uncertainties arise from factors like sampling choices or analysis parameters. Simplifying data for wider audiences must still convey its complexity and uncertainty to support informed decisions. This Dagstuhl Seminar will bring together experts in data visualisation and design, researchers, public educators, and journalists to explore methods for embracing and communicating biodata complexity and uncertainty.

Scientific Computing and Data Science,    Human-Computer Interaction, User Experience, Virtual Reality

Société de Mathématiques Appliquées et Industrielles (SMAI-SIGMA)

Approximation theory; Computer-aided geometric design; Computer graphics and visualisation; Computational geometry and topology; Geometry processing; Image and signal processing; Machine learning and learning theory; Mesh generation, finite elements and splines; Sparse and high-dimensional approximation; Subdivision, wavelets and multi-resolution methods

Numerical Analysis and Computational Mathematics,    Pattern Recognition and Image Processing, Machine Vision

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

In this Dagstuhl Seminar, we aim to bring together researchers and industry practitioners who study and build digital games. The goal is to generate a better understanding of the harms in games and progress towards enriching playful experiences for broad groups of players.

games; toxicity; deceptive design; problematic gaming; accessibility;

Human-Computer Interaction, User Experience, Virtual Reality,    Social Networks and Social Aspects of Information Technology