Buch, Englisch, 426 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 668 g
12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part IV
Buch, Englisch, 426 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 668 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-46313-6
Verlag: Springer Nature Switzerland
The 166 papers presented in the proceedings set were carefully reviewed and selected from 409 submissions. They were organized in topical sections as follows: computer vision and pattern recognition; computer graphics and visualization; compression, transmission, retrieval; artificial intelligence; biological and medical image processing; color and multispectral processing; computational imaging; multi-view and stereoscopic processing; multimedia security; surveillance and remote sensing, and virtual reality.
The ICIG 2023 is a biennial conference that focuses on innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. It will feature world-classplenary speakers, exhibits, and high-quality peer reviewed oral and poster presentations.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
Weitere Infos & Material
Artificial intelligence: Deep Discriminative Hashing for Cross-modal Hashing based Computer-aided Diagnosis.- Image Super-Resolution via Deep Dictionary Learning.- ACLM: Adaptive Compensatory Label Mining for Facial Expression Recognition.- Semantic-Guided Multi-Feature Fusion for Accurate Video Captioning.- Scale-Adaptive Multi-Area Representation for Instance Segmentation.- Multi-Level Semantic Extraction using Graph Pooling Network for Text Representation.- Research on Strategies for Tripeaks variant with various layouts.- A neural network model with the ringed residual block and attention mechanism for image forgery localization.- ACMA-GAN: Adaptive Cross-Modal Attention for Text-to-Image Generation.- Registration-propagated Liver Tumor Segmentation for Non-enhanced CT-based Interventions.- FML-MIS: A Scheme of Privacy Protection and Model Generalization for Medical Images Segmentation via Federated Meta-learning.- RoICLIP: Text-Enhanced UAV-based Video Object Detection.- Class Incremental Learning with Important and Diverse Memory.- Core Issues and Key Arguments of ChatGPT: Topic Mining and Sentiment Analysis Based on U.S. News Reports.- Joint Memory Propagation and Rectification for Video Object Segmentation.- A noval intelligent assessment based on audio-visual data for Chinese zither fingerings.- A Full-level Based Network to Detect Every Aircraft in Airport Scene.- Fusing Multi-scale Residual Network for Skeleton Detection.- LogoNet: a fine-grained network for instance-level logo sketch retrieval.- NCCNet: Arbitrary Neural Style Transfer with Multi-Channel Conversion.- BRMR : TAL Based on Boundary Refinement and Multi-scale Regression.- AE-Reorient: Active Exploration based Reorientation for Robotic Pick-and-Place.- A novel contactless prediction algorithm of indoor thermal comfort based on posture estimation.- A real-time wind turbine blade damage detection method based on an improved YOLOv5 algorithm.- Intensify Perception Transformer Generative Adversarial Network for Image Super-Resolution.- Referring Expression Comprehension Based on Cross Modal Feature Fusion and Iterative Reasoning.- ADS-B-based Spatial-Temporal multi-scale object detection network for airport scenes.- Unsupervised Segmentation of Haze Regions as Hard Attention for Haze Classification.- Learning to Fuse Residual and Conditional Information for Video Compression and Reconstruction.- A two-stage 3D object detection algorithm based on deep learning.- Dual Temporal Memory Network for Video Salient Object Detection.- Cross-Modality Fused Graph Convolutional Network for Image-Text Sentiment Analysis.- Local and Global Feature Interaction Network for Endoscope Image classification.