Smart Multimedia Third International Conference, ICSM 2022, Marseille, France, August 25-27, 2022, Revised Selected Papers / [electronic resource] :
edited by Stefano Berretti, Guan-Ming Su.
- 1st ed. 2022.
- XIV, 464 p. 193 illus., 155 illus. in color. online resource.
- Lecture Notes in Computer Science, 13497 1611-3349 ; .
- Lecture Notes in Computer Science, 13497 .
Machine Learning for Multimedia -- Normalizing Flow Based Surface Defect Detection -- FUNet: Flow Based Conference Video Background Subtraction -- IARG: Improved Actor Relation Graph-based Group Activity Recognition -- SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space -- Image Processing -- Unsupervised Face Frontalization GAN Driven by 3D Rotation and Symmetric Filling -- Infrared and Visible Image Fusion Based on Multi-Scale Gaussian Rolling Guidance Filter Decomposition -- Multi-Directional Edge Detection Algorithm Based on Fuzzy Logic Judgment -- Multimedia Applications -- Security Concerns and Citizens' Privacy Implications in Smart Multimedia Applications -- Metric Learning on Complex Projective Spaces -- Gamified Smart Grid Implementation through Pico, Nano, and Microgrids in a Sustainable Campus -- Product Re-Identification System in Fully Automated Defect Detection -- Multimedia for Medicine and Health-Care -- A Real-Time Fall Classification Model Based on Frame Series Motion Deformation -- GradXcepUNet: Explainable AI Based Medical Image Segmentation -- Non-Invasive Anemia Detection from Conjunctival Images -- 3D Segmentation and Visualization of Human Brain CT Images for Surgical Training - a VTK Approach -- Smart Homes -- The Energy 4.0 Concept and Its Relationship with the S3 Framework -- A Real-Time Adaptive Thermal Comfort Model for Sustainable Energy in Interactive Smart Homes: Part I -- A Real-Time Adaptive Thermal Comfort Model for Sustainable Energy in Interactive Smart Homes: Part II -- Multimedia Environments and Metaverse -- Including Grip Strength Activities into Tabletop Training Environments -- Matrix World - A Programmable 3D Multichain Metaverse -- Matrix Syncer - A Multi-Chain Data Aggregator for Supporting Blockchain-Based Metaverses -- Construction and Design of Food Traceability Based on Blockchain Technology Applying in the Metaverse -- Deep Learning on Video and Music -- Motion Segmentation Based on Pixel Distribution Learning on Unseen Videos -- Estimation of Music Recording Quality to Predict Automatic Music Transcription Performance -- Unleashing the Potential of Data Analytics through Music -- Haptic -- Impact of PGM Training on Reaction Time and Sense of Agency -- Epidural Motor Skills Measurements for Haptic Training -- Sensorless Force Approximation Control of 3-DOF Passive Haptic Devices -- Passive Haptic Learning as a Reinforcement Modality for Information -- Industrial -- Lighting Enhancement Using Self-Attention Guided HDR Reconstruction -- MoCap Trajectory-Based Animation Synthesis and Perplexity Driven Compression -- Hyperspectral Image Denoising Based on Dual Low-Rank Structure Preservation -- SimFormer: Real-To-SimTransfer with Recurrent Restoration -- Spatio-Frequency Analysis for High-Frequency Surface Wave Radar Ship Target Detection.
This book constitutes the proceedings of the Third International Conference on Smart Multimedia, ICSM 2022, which was held in Marseille, France, during August 25-27, 2022. The 30 full papers and 4 short paper presented in this volume were carefully reviewed and selected from 68 submissions. The contributions were organized in topical sections as follows: Machine Learning for Multimedia; Image Processing; Multimedia Applications; Multimedia for Medicine and Health-Care; Smart Homes; Multimedia Environments and Metaverse; Deep Learning on Video and Music; Haptic; Industrial.
9783031220616
10.1007/978-3-031-22061-6 doi
Computer networks . Computer engineering. Social sciences--Data processing. Machine learning. Computer vision. Computer Communication Networks. Computer Engineering and Networks. Computer Application in Social and Behavioral Sciences. Machine Learning. Computer Vision.