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Image and Graphics: 12th International Conference, ICIG 2023, Nanjing, China, September 2224, 2023, Proceedings, Part V 1st ed. 2023 [Pehme köide]

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  • Formaat: Paperback / softback, 380 pages, kõrgus x laius: 235x155 mm, kaal: 605 g, 145 Illustrations, color; 9 Illustrations, black and white; XVI, 380 p. 154 illus., 145 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 14359
  • Ilmumisaeg: 29-Oct-2023
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031463161
  • ISBN-13: 9783031463167
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Image and Graphics: 12th International Conference, ICIG 2023, Nanjing, China, September 2224, 2023, Proceedings, Part V 1st ed. 2023Suurem pilt
  • Formaat: Paperback / softback, 380 pages, kõrgus x laius: 235x155 mm, kaal: 605 g, 145 Illustrations, color; 9 Illustrations, black and white; XVI, 380 p. 154 illus., 145 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 14359
  • Ilmumisaeg: 29-Oct-2023
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031463161
  • ISBN-13: 9783031463167
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031463167.html
The five-volume set LNCS 14355, 14356, 14357, 14358 and 14359 constitutes the refereed proceedings of the 12th International Conference on Image and Graphics, ICIG 2023, held in Nanjing, China, during September 22–24, 2023.

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.


Biological and Medical Image Processing: An efficient medical image
fusion via online convolutional sparse coding with sample-dependent
dictionary.- Multimodal Medical Image Fusion based on Multichannel Aggregated
Network.- Multi-Path Feature Fusion and Channel Feature Pyramid for Brain
Tumor Segmentation in MRI.- Near infrared video heart rate detection based on
multi-region selection and robust principal component analysis- Neural video:
A novel framework for interpreting the spatiotemporal activities of the human
brain.- Local Fusion Synthetic CT Network for Improving the Quality of CBCT
in Cervical Cancer Radiotherapy.- Causality-Inspired Source-Free Domain
Adaptation for Medical Image Classification.- Pixel-Correlation-Based Scar
Screening in Hypertrophic Myocardium.- Dictionary Matching Based 2D Thin
Slice Generalized Slice-dithered Enhanced Resolution (gSlider) Variable Flip
Angle T1 Mapping.- Deep Low-rank Multimodal Fusion with Inter-modal
Distribution Difference Constraint for ASD Diagnosis.- Cross-domain Tongue
Image Segmentation based on Deep Adversarial Networks and Entropy
Minimization.- Residual Inter-slice Feature Learning for 3D Organ
Segmentation.- Color and Multispectral Processing: A Cross-paired Wavelet
Based Spatiotemporal Fusion Network for Remote Sensing Images.- Coupled Dense
Convolutional Neural Networks with  Autoencoder For Unsupervised
Hyperspectral  Super Resolution.- Computational Imaging: Multi-scale
Non-Local Bidirectional Fusion for Video Super-Resolution.- Multi-View and
Stereoscopic Processing: Learning a Deep Fourier Channel Attention Generative
Adversarial Network for Light Field Image Super-Resolution.- Synthesizing a
large scene with multiple NeRFs.- Neural Implicit 3D Shapes from Single
Images with Spatial Patterns.- Multimedia Security: Dense Visible Watermark
Removal with Progressive Feature Propagation.- When Diffusion Model Meets
with Adversarial Attack: Generating Transferable Adversarial Examples on Face
Recognition.- TPM: Two-stage prediction mechanism for universal adversarial
patch defense.- Surveillance and remote sensing: WSAD-Net: Weakly Supervised
Anomaly Detection in Untrimmed Surveillance Videos.- Multi-object Tracking in
Remote Sensing Video Based on Motion and Multi-scale Local Cost Volume.-
Density Map Augmentation-based Point-to-point Vehicle Counting and
Localization in Remote Sensing Imagery with Limited Resolution.- Large Window
Attention based Transformer Network for Change Detection of Remote Sensing
Images.- U-TEN:An Unsupervised Two-branch Enhancement Network for Object
Detection under Complex-Light Condition.- Virtual Reality: Design of virtual
assembly guidance system  based on mixed reality.- Blind Omnidirectional
Image Quality Assessment Based on Swin Transformer with
Scanpath-Oriented.- Audio-visual Saliency for Omnidirectional Videos.