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MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 810, 2025, Proceedings, Part II [Minkštas viršelis]

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  • Formatas: Paperback / softback, 455 pages, aukštis x plotis: 235x155 mm, 141 Illustrations, color; 10 Illustrations, black and white; XX, 455 p. 151 illus., 141 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 15521
  • Išleidimo metai: 31-Dec-2024
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 9819620600
  • ISBN-13: 9789819620609
  • Formatas: Paperback / softback, 455 pages, aukštis x plotis: 235x155 mm, 141 Illustrations, color; 10 Illustrations, black and white; XX, 455 p. 151 illus., 141 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 15521
  • Išleidimo metai: 31-Dec-2024
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 9819620600
  • ISBN-13: 9789819620609
This five-volume set LNCS 15520-15524 constitutes the proceedings of the 31st International Conference on Multimedia Modeling, MMM 2025, held in Nara, Japan, January 810, 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.
Regular Papers.- gFlow: Distributed Real-Time Reverse Remote Rendering
System Model.- Grounding Deliberate Reasoning in Multimodal Large Language
Models.- GWUNet: A UNet with Gated Attention and Improved Wavelet Transform
for Thyroid Nodules Segmentation.- HCV: Lightweight Hybrid CNN-Vision
Transformer for Visual Object Tracking.-HierArtEx: Hierarchical
Representations and Art Experts Supporting the Retrieval of Museums in the
Metaverse.- Hybrid Scalable Video Coding with Neural Compression and
Enhancement for Streaming Media.- Hyper-NeuS:Hypernetworks for Neural SDF
Implicit Surface Reconstruction by Volume Rendering.- Image-Generation AI
Model Retrieval by Contrastive Learning-based Style Distance
Calculation.- Improving Singing Voice Transcription Generalization with AI
Generated Accompaniments.- Infrared Small Target Detection with Feature
Refinement and Context Enhancement.- Innovative Lifelog Visualization and
Exploration in Virtual Reality - A Comparative Study.- Integrating S1&S2
Framework for Enhanced Semantic Match in Person
Re-identification.- Intra-Class Compact Facial Expression Recognition Based
on Amplitude Phase Separation.- Joint Decision Network with Modality-Specific
and Dual Interactive Features for Fake News Detection.- Kiite World:
Socializing Map-Based Music Exploration Through Playlist Sharing and
Synchronized Listening.- KuzushijiDiffuser: Japanese Kuzushiji Font
Generation with FontDiffuser.- LIESA: Low-light Image Enhancement with
Semantic Awareness.- Lightweight Dual Grouped Large-Kernel Convolutions for
Salient Object Detection Network.- Lightweight Motion-Aware Video
Super-Resolution for Compressed Videos.- LITA: LMM-guided Image-Text
Alignment for Art Assessment.- LLMs-based Augmentation for Domain Adaptation
in Long-tailed Food Datasets.- Making strides Security in Multimodal Fake
News Detection Models: A Comprehensive Analysis of Adversarial
Attacks.- MambaTalk: Speech-driven 3D Facial Animation with Mamba.- MC-YOLO:
Multi-scale Transmission Line Defect Target Recognition Network.- MDT-Net: A
Mask Decoder Tuning Strategy for CLIP-based Zero-shot 3D
Classification.- MICAN Multi-modal Inconsistency-based Cooperation Attention
Network for Fake News Detection.- MineTinyNet-YOLO: An Efficient Small Object
Detection Method for Complex Underground Coal Mine Scenarios.- Mix-YOLONet:
Deep Image Dehazing for Improving Object Detection.- MKSNet: Advanced Small
Object Detection in Remote Sensing Imagery with Multi-Kernel and Dual
Attention Mechanisms.- MLP-AMDC: A MLP Architecture for Adaptive-Mask-based
Dual-Camera Snapshot Hyperspectral Imaging.- MM-CARP: Multimodal Model with
Cross-modal Retrieval-Augmented and Visual Region Perception.-
Modality-Specific Hashing: Transform Cross-Modal Retrieval into Single-Modal
Retrieval.