LEADER 04715nam 22006615 450 001 9911015634903321 005 20250716130257.0 010 $a3-031-84300-2 024 7 $a10.1007/978-3-031-84300-6 035 $a(MiAaPQ)EBC32212925 035 $a(Au-PeEL)EBL32212925 035 $a(CKB)39658927300041 035 $a(DE-He213)978-3-031-84300-6 035 $a(EXLCZ)9939658927300041 100 $a20250716d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFrom Human Attention to Computational Attention $eA Multidisciplinary Approach /$fedited by Matei Mancas, Vincent P. Ferrera, Antoine Coutrot 205 $a2nd ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (409 pages) 311 08$a3-031-84299-5 327 $a1 Why modeling attention in computers?, M. Mancas, V. Ferrera, N. Riche -- 2 What is attention?, M. Mancas -- 3 How to measure attention?, M. Mancas, V. Ferrera -- 4 Where: Human attention networks and their dysfunctions after brain damage, T. Seidel Malkinson, P. Bartolomeo -- 5 Attention and Signal Detection: A Practical Guide, V. Ferrera -- 6 Effects of Attention in Visual Cortex: Linking Single Neuron Physiology to Visual Detection and Discrimination, V. Ferrera -- 7 Modeling attention in engineering, M. Mancas -- 8 Bottom-Up Visual Attention for Still Images: a Global View, F. Stentiford -- 9 Bottom-up saliency models for still images: a practical review, N. Riche and M. Mancas -- 10 Bottom-up saliency models for videos: a practical review, N. Riche and M. Mancas -- 11 Databases for saliency models evaluation, N. Riche -- 12 Metrics for saliency models validation, N. Riche -- 13 Study of parameters affecting visual saliency assessment, N. Riche -- 14 Saliency models evaluation, N. Riche -- 15 Object-based Attention: cognitive and computational perspectives, A. Belardinelli -- 16 Multimodal saliency models for videos, Antoine Coutrot, Nathalie Guyader -- 17 Towards 3D visual saliency modelling, J. Leroy, N. Riche -- 18 Applications of saliency models, M. Mancas, O. Le Meur -- 19 Attentive Content-Based Image Retrieval, D. Awad, V. Courboulay, A. Revel -- 20 Saliency and Attention for Video Quality Assessment, D. Culibrk -- 21 Attentive Robots, S. Frintrop -- 22 Attention modeling: what are the next steps?, M. Mancas, V. Ferrera, N. Riche -- Index. 330 $aThe new edition of this popular book introduces the study of attention, focusing on attention modeling, and addressing such themes as saliency models, signal detection, and different types of signals, including real-life applications. The first edition was written at a moment when the Deep Learning Neural Network (DNNs) techniques were just at their beginnings in terms of attention. Deep learning has recently become a key factor in attention prediction on images and video, and attention mechanisms have become key factors in deep learning models. The second edition tackles the arrival of DNNs for attention computing in images and video, and also discusses the attention mechanisms within DNNs (attention modules, transformers, grad-cam-based saliency maps, etc.). From Human Attention to Computational Attention 2nd Edition also explores the parallels between the brain structures and the DNN architectures to reveal how biomimetics can improve the model designs. The book is truly multi-disciplinary, collating work from psychology, neuroscience, engineering, and computer science. 606 $aNeurosciences 606 $aComputer vision 606 $aSignal processing 606 $aArtificial intelligence 606 $aComputational neuroscience 606 $aNeuroscience 606 $aComputer Vision 606 $aSignal, Speech and Image Processing 606 $aArtificial Intelligence 606 $aComputational Neuroscience 615 0$aNeurosciences. 615 0$aComputer vision. 615 0$aSignal processing. 615 0$aArtificial intelligence. 615 0$aComputational neuroscience. 615 14$aNeuroscience. 615 24$aComputer Vision. 615 24$aSignal, Speech and Image Processing. 615 24$aArtificial Intelligence. 615 24$aComputational Neuroscience. 676 $a153.7/33 700 $aMancas$b Matei$01833131 701 $aFerrera$b Vincent P$01833132 701 $aCoutrot$b Antoine$01833133 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911015634903321 996 $aFrom Human Attention to Computational Attention$94408051 997 $aUNINA