LEADER 04322nam 22005895 450 001 9911047704103321 005 20251007130435.0 010 $a3-032-01169-8 024 7 $a10.1007/978-3-032-01169-5 035 $a(CKB)41571837100041 035 $a(MiAaPQ)EBC32331366 035 $a(Au-PeEL)EBL32331366 035 $a(DE-He213)978-3-032-01169-5 035 $a(OCoLC)1547925118 035 $a(EXLCZ)9941571837100041 100 $a20251007d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aImage Processing and Vision Engineering $e5th International Conference, IMPROVE 2025, Porto, Portugal, April 7?8, 2025, Proceedings /$fedited by Cosimo Distante, Sebastiano Battiato 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (529 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2628 311 08$a3-032-01168-X 327 $a -- 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. 330 $aThis book constitutes the refereed proceedings of the 5th International Conference on Image Processing and Vision Engineering, IMPROVE 2025, held in Porto, Portugal, during April 7?8, 2025. The 9 full papers and 11 short papers included in this book were carefully reviewed and selected from 33 submissions. The IMPROVE 2025 proceedings focus on image processing and computer vision scientific advances and practical applications. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2628 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aPattern recognition systems 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer Vision 606 $aAutomated Pattern Recognition 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aPattern recognition systems. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer Vision. 615 24$aAutomated Pattern Recognition. 676 $a006 700 $aDistante$b Cosimo$01221936 701 $aBattiato$b Sebastiano$0760170 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911047704103321 996 $aImage Processing and Vision Engineering$94467573 997 $aUNINA