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E-raamat: MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8-10, 2025, Proceedings, Part IV

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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 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.

Regular Papers.- SES-Net: Multi-dimensional Spot-Edge-Surface Network
for Nuclei Segmentation.- Skin-Adapter: Fine-Grained Skin-Color Preservation
for Text-to-Image Generation.- Small Tunes Transformer: Exploring Macro &
Micro-Level Hierarchies for Skeleton-Conditioned Melody
Generation.- SMG-Diff: Adversarial Attack Method Based on Semantic
Mask-Guided Diffusion.- SPLGAN-TTS:Learning Semantic and Prosody to Enhance
the Text-to-Speech Quality of Lightweight GAN Models.- SSCDUF:
Spatial-Spectral Correlation Transformer Based on Deep Unfolding Framework
for Hyperspectral Image Reconstruction.- SSDL: Sensor-to-Skeleton Diffusion
Model with Lipschitz Regularization for Human Activity
Recognition.- Structural Information-guided Fine-grained Texture Image
Inpainting.- Style Separation and Content Recovery for Generalizable Sketch
Re-identification and A New Benchmark.- Synchronization and Calibration of
Video Sequences acquired using Multiple Plenoptic 2.0
Cameras.- Target-Oriented Dynamic Denosing Curriculum Learning for Multimodel
Stance Detection.- TDM: Temporally-Consistent Diffusion Model for All-in-One
Real-World Video Restoration.- Temporal Closeness for Enhanced Cross-Modal
Retrieval of Sensor and Image Data.- The Right to an Explanation under the
GDPR and the AI Act.- Toward Appearance-based, Autonomous Landing Site
Identification for Multirotor Drones in Unstructured Environments.- Towards
Inclusive Education: Multimodal Classification of Textbook Images for
Accessibility.- Towards Visual Storytelling by Understanding Narrative
Context through Scene-Graphs.- TPS-YOLO: The Efficient Tiny Person Detection
Network Based on Improved YOLOv8 and Model Pruning.- Uncertainty-guided Joint
Semi-supervised Segmentation and Registration of Cardiac
Images.- Understanding the Roles of Visual Modality in Multimodal Dialogue:
An Empirical Study.- Vision-Language Pretraining for Variable-shot Image
Classification.- Visual Anomaly Detection on Topological Connectivity under
Improved YOLOv8.- Wavelet Integrated Convolutional Neural Network for ECG
Signal Denoising.- WavFusion: Towards wav2vec 2.0 Multimodal Speech Emotion
Recognition.- Zero-shot Sketch-based Image Retrieval with Hybrid Information
Fusion and Sample Relationship Modeling.- Special Session: ExpertSUM: Special
Session on Expert-Level Text Summarization from Fine-Grained Multimedia
Analytics.- CalorieVoL: Integrating Volumetric Context into Multimodal Large
Language Models for Image-based Calorie Estimation.- Can Masking Background
and Object Reduce Static Bias for Zero-shot Action Recognition?.- Special
Session: MLLMA: Special Session on Multimodal Large Language Models and
Applications.- Enhanced Anomaly Detection in 3D Motion through
Language-Inspired Occlusion-Aware Modeling.- Evaluating VQA Models'
Consistency in the Scientific Domain.- Image2Text2Image: A Novel Framework
for Label-Free Evaluation of Image-to-Text Generation with Text-to-Image
Diffusion Models.- Quantifying Image-Adjective Associations by Leveraging
Large-Scale Pretrained Models.- TACST: Time-Aware Transformer for Robust
Speech Emotion Recognition.- TS-MEFM: A New Multimodal Speech Emotion
Recognition Network Based on Speech and Text Fusion.
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