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Computer Vision and Image Processing: 9th International Conference, CVIP 2024, Chennai, India, December 1921, 2024, Revised Selected Papers, Part II [Mīkstie vāki]

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  • Formāts: Paperback / softback, 462 pages, height x width: 235x155 mm, 220 Illustrations, color; 26 Illustrations, black and white; XXIV, 462 p. 246 illus., 220 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2474
  • Izdošanas datums: 26-Aug-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031936906
  • ISBN-13: 9783031936906
  • Mīkstie vāki
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  • Formāts: Paperback / softback, 462 pages, height x width: 235x155 mm, 220 Illustrations, color; 26 Illustrations, black and white; XXIV, 462 p. 246 illus., 220 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2474
  • Izdošanas datums: 26-Aug-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031936906
  • ISBN-13: 9783031936906

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.

.- Multimodal Vision-based Hand Rehabilitation and Performance
Visualization.
.- Pose-Invariant 2D Face Verification by combining MICA and 2D Features.
.- Robust Pedestrian Detection Via Enriched Dataset.
.-AutoTagGen: A Semantic Approach for Image Tagging utilising Large Language
Models and Community Verified Integrative Knowledge.
.- Localizing Open World Objects Using Self-Learned Latent Keypoints.
.- A Horizontal based Federated Learning approach for non-IID Data
distributionin Surgical Instrument Segmentation from MIS.
.- Classification of Wireless Capsule Endoscopy Abnormalities with
Explainable AI.
.- Effect of network sparsity in classifier performance in ASD patients: A
multicenter study based on centrality measures of rsfMRI.
.- Printed OCR for Extremely Low-resource Indic  Languages.
.- SkyGuard: Semi-Supervised Drone Technology for Real-time Traffic
Rule Enforcement.
.- Disp R-CNN for Personalized Care: A Deep Learning Approach to Fall
Detection and Activity Recognition in AAL Systems.
.-A Least Squares Generative Adversarial Neatwork with Multi-Scale Residual
Block for Single Image Super-Resolution.
.-Psy-H-Phy: ConvGNN-based Psychological Health Monitoring using
PhysiologicalCues.
.-  Advancing Diabetic Retinopathy Diagnosis: The Synergy of Deep Learning
Models in DR-PanopticNet System.
.- Towards Safer Roads: Utilizing Synthetic Data and Neural Networks to
Classify Safe Distances in Driving Scenarios.
.- NightSight: Low-Light Enhancement and De-blurring.
.-  HyP-ECA: An Attention for Aerial Tree Crown Delineation and
Species Classification.
.- Leveraging Internal Representations of Model for Magnetic Image
Classification.
.-  Enhancing Bread Spoilage Detection Through Ensemble Machine
Learning Approaches.
.- Economy and Explainability with Non-Separable Wavelet-based CNN and
Generative Modelling.
.- Comparative analysis for SAM, FastSAM, EfficientSAM, Detectron2 for
Semantic Segmentation in Self driving cars.
.- A Deep Learning Approach to Pneumonia Prediction through X-Ray
Image Analysis.
.- Efficient Deep Learning Framework for Glaucoma Detection in Color
Fundus Image.
.- Speckle Noise Suppression in OCT Images via Real Image Denoising Network.
.- Assessing YOLOv8 and YOLOv9 for advancements in underwater object
detection in the pond environment.
.-  Enhanced Traffic Sign Detection and Classification Using YOLOv8x &
SEResNet-101x Model: A Deep Learning Approach.
.- Grasp Pattern Recognition Using Convolutional Vision Transformer.
.- Attire in Attention: Enhancing CCTV Surveillance with cloth-based
image retrieval.
.- AI Powered Video Content Moderation governed by  Intensity Based Custom
Rules with Remedial Pipelines.
.-  Unveiling Alzheimer's Risk: Leveraging Deep Learning and Attention
Mechanisms for Early Detection.
.- Enhancing Stone Inscription Clarity: A Hybrid Approach for Denoising in
Digital StonePaleography.
.- EfficientNet-Driven Framework for Precise Detection and Grading of Liver
and Colon Cancer using H&E Stained Histopathological Images.
.- Brain Tumor Segmentation with Federated Learning: A BraTS2020 Dataset.