
Computer Vision and Image Processing
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
The Six-volume proceedings set CCIS 2473 and 2478 constitutes the refereed proceedings of the 9th International Conference on Computer Vision and Image Processing, CVIP 2024, held in Chennai, India, during December 19-21, 2024.
The 178 full papers presented were carefully reviewed and selected from 647 submissions.The papers focus on various important and emerging topics in image processing, computer vision applications, deep learning, and machine learning techniques in the domain.
More details
Other editions
Additional editions

Content
.- TranscoderGAN: Transformer-Inception based Encoder-Decoder Generative Adversarial Network for Thermal-Visible Face Transformation.
.- PCNet3D: A Pillar based Cascaded 3D Object Detection Model using LiDAR Point Cloud.
.- Leveraging English Captions for Improved Image Captioning in Low-Resource Languages.
.- Plant-AT: Customized Hybrid Attention Model for Diagnosing Plant Disease.
.- FL-STGCN: Mental Health Recognition using RGB and IR Landmark Feature Fusion.
.- An Object Translation-based Image Augmentation-enabled Cyclone Eye Detection System for Tropical Cyclones in India.
.- Automatic Monitoring of Crops from Drone Images with a Suitable Deep Learning Model.
.- TransDerain: Efficient Transformer Network for Video Deraining.
.- Deep Compressive Sensing for High-Quality Video Recovery.
.- Transforming Single Photon Camera Images to Color High Dynamic Range Images.
.- Breast Cancer Detection using Thresholded Wavelet Transformation and Transfer Learning.
.- Stage Estimation in Parkinson's Disease from MRI and Clinical Assessment Data with a Multivariate Analysis.
.- Enhanced Image Feature Selection Techniques for Visualization and Classification of Android Malware.
.- End-to-End Prostate Cancer Segmentation for RT Planning.
.- Bangla Chitra Net: An efficient transformer-based architecture for image captioning.
.- Adaptive Quantization of Deep Neural Networks via Layer Importance Estimation.
.- Paired Attention Swin UNETR for Volumetric Segmentation of Brain Tumor.
.- Enhancing Maritime Multi Object Tracking with Meta-data Assisted Re-Identification.
.- Advanced Fingerprint Authentication System Integrating HQC and AES Encryption for Post-Quantum Security.
.- MyoCI: Computational Intelligence for Early Detection of Myocardial Infarction using Text Analysis through Clinical Data.
.- Domain Adaptation for Image Classification: A Comparative Study of Semi-Supervised versus Unsupervised Approaches.
.- WAVE-NET: Weakly-Supervised Video Anomaly Detection through Feature Enhancement and triplet loss.
.- GAN-driven Brain Tumor Segmentation with Attention Residual U-Net.
.- Efficient Masked Face Recognition in Low-Resolution Images with MobileNet and Attention Mechanism.
.- CompTSRTrans: Computationally Efficient Thermal Image Super-Resolution based on Transformer.
.- Medical Image Restoration based on Split Bregman with DIP-TV.
.- Hand Detection in the Wild Leveraging RetinaNet.
.- Learnable Gabor and Wavelet Filters Based Deep Learning for Image Forgery Detection.
.- Manifold Embedding for Pseudo-centric Domain Adaptation Approaches.
.- Fooling Face Recognition Systems through Physical Adversarial Attack.
.- Enhanced Eye Disease Diagnosis using Integrated ResNet-101 and Vision Transformer.
.- Leveraging CNN Features and Vision Transformers for Enhanced Focal Liver Lesion
Classification.
.- OSCMamba: Omni-directional Selective Scan Convolution Mamba for Medical Image
Classification.
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.