LEADER 06170nam 22008295 450 001 996636771403316 005 20250630093350.0 010 $a9789819620647 010 $a9819620643 024 7 $a10.1007/978-981-96-2064-7 035 $a(MiAaPQ)EBC31862467 035 $a(Au-PeEL)EBL31862467 035 $a(CKB)37093813200041 035 $a(DE-He213)978-981-96-2064-7 035 $a(OCoLC)1482817265 035 $a(EXLCZ)9937093813200041 100 $a20241228d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultiMedia Modeling $e31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8?10, 2025, Proceedings, Part III /$fedited by Ichiro Ide, Ioannis Kompatsiaris, Changsheng Xu, Keiji Yanai, Wei-Ta Chu, Naoko Nitta, Michael Riegler, Toshihiko Yamasaki 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (472 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15522 311 08$a9789819620630 311 08$a9819620635 327 $aRegular Papers -- Modeling High-order Relationships between Human and Video for Emotion Recognition -- MPPQNet: A Moment-Preserving Product Quantization Neural Network for Progressive 3D Point Cloud Transmission -- MS-SAM:Multi-Scale SAM based on Dynamic Weighted Agent Attention -- MSA-Former: Multi-Scale Adaptive Transformer for Image Snow Removal -- MSD-YOLO : An Efficient Algorithm for Small Target Detection -- Multi-Modal Information Multi-Angle Mining For Multimedia Recommendation.-Multimodal Prompt Learning for Audio Visual Scene-aware Dialog -- Music2MIDI: Pop Music to MIDI Piano Cover Generation -- Noise-robust Separating Multi-source Aliased Vibration Signal Based on Transformer Demucs -- One-Shot Generative Domain Adaptation by Constructing Self-Amplifying Datasets -- Open-vocabulary Scene Graph Generation via Synonym-based Predicate Descriptor -- Operatic Singing Voice Synthesis From Inexperienced Voice Considering Tempo and Vowel Change -- Optimally Planning Drone Trajectories to Capture 3D Gaussian Splatting Objects -- PA2Net: Pyramid Attention Aggregation Network for Saliency Detection -- PianoPal: A Robotic Multimedia System for Interactive Piano Instruction Based on Q-learning and Real-time Feedback -- Poseidon: A NAS-Based Ensemble Defense Method against Multiple Perturbations -- Progressive Neural Architecture Generation with Weaker Predictors -- Pubic Symphysis-Fetal Head Segmentation Network Using BiFormer Attention Mechanism and Multipath Dilated Convolution -- QRALadder: QoE and Resource Consumption-Aware Encoding Ladder Optimization for Live Video Streaming -- Quantized-ViT Efficient Training via Fisher Matrix Regularization -- Real-Time Action Detection in Volleyball Matches Using DETR Architecture -- Revisit Data Association in Semantic SLAM Systems for Autonomous Parking.-RobSparse: Automatic Search for GPU-Friendly Robust and Sparse Vision Transformers -- Robust Active Speaker Detection in Challenging Environments Using GNN-Fused Multi-Modal Cues and Body Language -- RoLD: Robot Latent Diffusion for Multi-task Policy Modeling -- Rotation Methods for 360-degree Videos in Virtual Reality - A Comparative Study -- Saliency Based Data Augmentation for Few-shot Video Action Recognition -- Saliency Guided Optimization Of Diffusion Latents -- SCANet: Semantic Coherence Attention Network for Clothing Change Person Re-identification -- SCLSTE: Semi-Supervised Contrastive Learning-Guided Scene Text Editing -- Select and Order: Enhancing Few-Shot Image Classification through In-Context Learning -- Self-Supervised Reference-based Image Super-Resolution with Conditional Diffusion Model. 330 $aThis five-volume set LNCS 15520-15524 constitutes the proceedings of the 31st International Conference on Multimedia Modeling, MMM 2025, held in Nara, Japan, January 8?10, 2025. The 135 full papers and 41 short papers presented in these proceedings were carefully reviewed and selected from 348 submissions. The MMM conference was organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15522 606 $aComputer vision 606 $aImage processing$xDigital techniques 606 $aSignal processing 606 $aPattern recognition systems 606 $aApplication software 606 $aInformation storage and retrieval systems 606 $aComputer Vision 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aSignal, Speech and Image Processing 606 $aAutomated Pattern Recognition 606 $aComputer and Information Systems Applications 606 $aInformation Storage and Retrieval 615 0$aComputer vision. 615 0$aImage processing$xDigital techniques. 615 0$aSignal processing. 615 0$aPattern recognition systems. 615 0$aApplication software. 615 0$aInformation storage and retrieval systems. 615 14$aComputer Vision. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aSignal, Speech and Image Processing. 615 24$aAutomated Pattern Recognition. 615 24$aComputer and Information Systems Applications. 615 24$aInformation Storage and Retrieval. 676 $a006.37 700 $aIde$b Ichiro$0926143 701 $aKompatsiaris$b Yiannis$0905869 701 $aXu$b Changsheng$0855701 701 $aYanai$b Keiji$01782582 701 $aChu$b Wei-Ta$0926152 701 $aNitta$b Naoko$01782583 701 $aRiegler$b Michael$01782584 701 $aYamasaki$b Toshihiko$01782585 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996636771403316 996 $aMultiMedia Modeling$94524124 997 $aUNISA