Image Processing and Vision Engineering (eBook, PDF)
5th International Conference, IMPROVE 2025, Porto, Portugal, April 7-8, 2025, Proceedings
Redaktion: Distante, Cosimo; Battiato, Sebastiano
60,95 €
60,95 €
inkl. MwSt.
Sofort per Download lieferbar
30 °P sammeln
60,95 €
Als Download kaufen
60,95 €
inkl. MwSt.
Sofort per Download lieferbar
30 °P sammeln
Jetzt verschenken
Alle Infos zum eBook verschenken
60,95 €
inkl. MwSt.
Sofort per Download lieferbar
Alle Infos zum eBook verschenken
30 °P sammeln
Image Processing and Vision Engineering (eBook, PDF)
5th International Conference, IMPROVE 2025, Porto, Portugal, April 7-8, 2025, Proceedings
Redaktion: Distante, Cosimo; Battiato, Sebastiano
- Format: PDF
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung

Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.

Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
This book constitutes the refereed proceedings of the 5th International Conference on Image Processing and Vision Engineering, IMPROVE 2025, held in Porto, Portugal, during April 7-8, 2025.
The 9 full papers and 11 short papers included in this book were carefully reviewed and selected from 33 submissions. The IMPROVE 2025 proceedings focus on image processing and computer vision scientific advances and practical applications.
- Geräte: PC
- ohne Kopierschutz
- eBook Hilfe
- Größe: 90.92MB
Andere Kunden interessierten sich auch für
Pattern Recognition Applications and Methods (eBook, PDF)40,95 €
Intelligence Science and Big Data Engineering (eBook, PDF)40,95 €
Computer Vision - ACCV 2016 (eBook, PDF)40,95 €
Computer Vision - ACCV 2016 (eBook, PDF)40,95 €
Computer Vision - ACCV 2016 (eBook, PDF)40,95 €
Computer Vision - ACCV 2016 (eBook, PDF)40,95 €
Computer Vision - ACCV 2016 (eBook, PDF)40,95 €-
-
-
This book constitutes the refereed proceedings of the 5th International Conference on Image Processing and Vision Engineering, IMPROVE 2025, held in Porto, Portugal, during April 7-8, 2025.
The 9 full papers and 11 short papers included in this book were carefully reviewed and selected from 33 submissions. The IMPROVE 2025 proceedings focus on image processing and computer vision scientific advances and practical applications.
The 9 full papers and 11 short papers included in this book were carefully reviewed and selected from 33 submissions. The IMPROVE 2025 proceedings focus on image processing and computer vision scientific advances and practical applications.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Springer International Publishing
- Seitenzahl: 362
- Erscheinungstermin: 6. Oktober 2025
- Englisch
- ISBN-13: 9783032011695
- Artikelnr.: 75600309
- Verlag: Springer International Publishing
- Seitenzahl: 362
- Erscheinungstermin: 6. Oktober 2025
- Englisch
- ISBN-13: 9783032011695
- Artikelnr.: 75600309
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
.- Invited Speakers.
.- Relevance of Human Body Pose Estimation Methods for Complex Dance Movements Analysis.
.- JPEG AI: The First International Standard for Image Coding Based on an End-to-End Learning-Based Approach.
.- A Deep Dive Into Regression.
.- Papers.
.- SuperCrossViT: Integrating Superpixel Segmentation in Vision Transformers for Advanced Medical Image Analysis.
.- A Multi-Modal Approach for Face Anti-Spoofing in Non-Calibrated Systems Using Disparity Maps.
.- Multi-Scale Edge-Enhanced ResNet (MSResNet) for RGB-T Image Segmentation.
.- Addressing Class Imbalance in Renal Amyloidosis Classification: A Comparative Study of Few-Shot Learning and Conventional Machine Learning Techniques.
.- CerberusDet: Unified Multi-Dataset Object Detection.
.- MVIP - A Dataset and Methods for Application Oriented Multi-View and Multi-Modal Industrial Part Recognition.
.- Assessment of Uncertainty and Variability in Simulation Tools Under Foggy Conditions.
.- Automated and Explainable Multi-Disease Detection from Retinal Fundus Images.
.- Rotation Invariance in Floor Plan Digitization Using Zernike Moments.
.- Use of Orthogonal Encryption Functions in Commutative Watermarking-Encryption.
.- Gender Bias Mitigation in Advertisement Videos.
.- Superclass-Guided Hierarchical Learning for Action Anticipation.
.- Cricket Bowling Action Recognition with Transformer-Based Models.
.- Deep Learning in Satellite and Aerial-Based Image Processing.
.- FoodLens: Fine-Grained and Multi-Label Classification of Indian Food Images.
.- Automated Detection of Student Emotions for Engagement Verification in Virtual Learning Environments.
.- Cross-Modality Learning in Ophthalmology: Is There a Need for Increasing Variety in Data?.
.- Active Learning and the Various Flavors of Supervision for Object Detection.
.- Relevance of Human Body Pose Estimation Methods for Complex Dance Movements Analysis.
.- JPEG AI: The First International Standard for Image Coding Based on an End-to-End Learning-Based Approach.
.- A Deep Dive Into Regression.
.- Papers.
.- SuperCrossViT: Integrating Superpixel Segmentation in Vision Transformers for Advanced Medical Image Analysis.
.- A Multi-Modal Approach for Face Anti-Spoofing in Non-Calibrated Systems Using Disparity Maps.
.- Multi-Scale Edge-Enhanced ResNet (MSResNet) for RGB-T Image Segmentation.
.- Addressing Class Imbalance in Renal Amyloidosis Classification: A Comparative Study of Few-Shot Learning and Conventional Machine Learning Techniques.
.- CerberusDet: Unified Multi-Dataset Object Detection.
.- MVIP - A Dataset and Methods for Application Oriented Multi-View and Multi-Modal Industrial Part Recognition.
.- Assessment of Uncertainty and Variability in Simulation Tools Under Foggy Conditions.
.- Automated and Explainable Multi-Disease Detection from Retinal Fundus Images.
.- Rotation Invariance in Floor Plan Digitization Using Zernike Moments.
.- Use of Orthogonal Encryption Functions in Commutative Watermarking-Encryption.
.- Gender Bias Mitigation in Advertisement Videos.
.- Superclass-Guided Hierarchical Learning for Action Anticipation.
.- Cricket Bowling Action Recognition with Transformer-Based Models.
.- Deep Learning in Satellite and Aerial-Based Image Processing.
.- FoodLens: Fine-Grained and Multi-Label Classification of Indian Food Images.
.- Automated Detection of Student Emotions for Engagement Verification in Virtual Learning Environments.
.- Cross-Modality Learning in Ophthalmology: Is There a Need for Increasing Variety in Data?.
.- Active Learning and the Various Flavors of Supervision for Object Detection.
.- Invited Speakers.
.- Relevance of Human Body Pose Estimation Methods for Complex Dance Movements Analysis.
.- JPEG AI: The First International Standard for Image Coding Based on an End-to-End Learning-Based Approach.
.- A Deep Dive Into Regression.
.- Papers.
.- SuperCrossViT: Integrating Superpixel Segmentation in Vision Transformers for Advanced Medical Image Analysis.
.- A Multi-Modal Approach for Face Anti-Spoofing in Non-Calibrated Systems Using Disparity Maps.
.- Multi-Scale Edge-Enhanced ResNet (MSResNet) for RGB-T Image Segmentation.
.- Addressing Class Imbalance in Renal Amyloidosis Classification: A Comparative Study of Few-Shot Learning and Conventional Machine Learning Techniques.
.- CerberusDet: Unified Multi-Dataset Object Detection.
.- MVIP - A Dataset and Methods for Application Oriented Multi-View and Multi-Modal Industrial Part Recognition.
.- Assessment of Uncertainty and Variability in Simulation Tools Under Foggy Conditions.
.- Automated and Explainable Multi-Disease Detection from Retinal Fundus Images.
.- Rotation Invariance in Floor Plan Digitization Using Zernike Moments.
.- Use of Orthogonal Encryption Functions in Commutative Watermarking-Encryption.
.- Gender Bias Mitigation in Advertisement Videos.
.- Superclass-Guided Hierarchical Learning for Action Anticipation.
.- Cricket Bowling Action Recognition with Transformer-Based Models.
.- Deep Learning in Satellite and Aerial-Based Image Processing.
.- FoodLens: Fine-Grained and Multi-Label Classification of Indian Food Images.
.- Automated Detection of Student Emotions for Engagement Verification in Virtual Learning Environments.
.- Cross-Modality Learning in Ophthalmology: Is There a Need for Increasing Variety in Data?.
.- Active Learning and the Various Flavors of Supervision for Object Detection.
.- Relevance of Human Body Pose Estimation Methods for Complex Dance Movements Analysis.
.- JPEG AI: The First International Standard for Image Coding Based on an End-to-End Learning-Based Approach.
.- A Deep Dive Into Regression.
.- Papers.
.- SuperCrossViT: Integrating Superpixel Segmentation in Vision Transformers for Advanced Medical Image Analysis.
.- A Multi-Modal Approach for Face Anti-Spoofing in Non-Calibrated Systems Using Disparity Maps.
.- Multi-Scale Edge-Enhanced ResNet (MSResNet) for RGB-T Image Segmentation.
.- Addressing Class Imbalance in Renal Amyloidosis Classification: A Comparative Study of Few-Shot Learning and Conventional Machine Learning Techniques.
.- CerberusDet: Unified Multi-Dataset Object Detection.
.- MVIP - A Dataset and Methods for Application Oriented Multi-View and Multi-Modal Industrial Part Recognition.
.- Assessment of Uncertainty and Variability in Simulation Tools Under Foggy Conditions.
.- Automated and Explainable Multi-Disease Detection from Retinal Fundus Images.
.- Rotation Invariance in Floor Plan Digitization Using Zernike Moments.
.- Use of Orthogonal Encryption Functions in Commutative Watermarking-Encryption.
.- Gender Bias Mitigation in Advertisement Videos.
.- Superclass-Guided Hierarchical Learning for Action Anticipation.
.- Cricket Bowling Action Recognition with Transformer-Based Models.
.- Deep Learning in Satellite and Aerial-Based Image Processing.
.- FoodLens: Fine-Grained and Multi-Label Classification of Indian Food Images.
.- Automated Detection of Student Emotions for Engagement Verification in Virtual Learning Environments.
.- Cross-Modality Learning in Ophthalmology: Is There a Need for Increasing Variety in Data?.
.- Active Learning and the Various Flavors of Supervision for Object Detection.







