• Neu
Distante / Battiato | Image Processing and Vision Engineering | E-Book | www.sack.de
E-Book

E-Book, Englisch, 362 Seiten

Reihe: Computer Science (R0)

Distante / Battiato Image Processing and Vision Engineering

5th International Conference, IMPROVE 2025, Porto, Portugal, April 7–8, 2025, Proceedings
Erscheinungsjahr 2025
ISBN: 978-3-032-01169-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

5th International Conference, IMPROVE 2025, Porto, Portugal, April 7–8, 2025, Proceedings

E-Book, Englisch, 362 Seiten

Reihe: Computer Science (R0)

ISBN: 978-3-032-01169-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark



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.

Distante / Battiato Image Processing and Vision Engineering jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


.- 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.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.