This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29February 2, 2024.
The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.
Self-distillation Enhanced Vertical Wavelet Spatial Attention for Person Re-identification.- High Capacity Reversible Data Hiding in Encrypted Images Based on
Pixel Value Preprocessing and Block Classification.- HPattack: An Effective Adversarial Attack for Human Parsing.- Dynamic-Static Graph Convolutional Network for Video-Based Facial Expression Recognition.- Hierarchical Supervised Contrastive Learning for Multimodal Sentiment Analysis.- Semantic Importance-Based Deep Image Compression Using A Generative Approach.- Drive-CLIP: Cross-modal Contrastive Safety-Critical Driving Scenario Representation Learning and Zero-shot Driving Risk Analysis.- MRHF: Multi-stage Retrieval and Hierarchical Fusion for Textbook Question Answering.- Multi-scale Decomposition Dehazing with Polarimetric Vision.- CLF-Net: A Few-shot Cross-Language Font Generation Method.- Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation.- Audio-Visual Segmentation By Leveraging Multi-Scaled Features Learning.- Multi-head Hashing with Orthogonal Decomposition for Cross-modal Retrieval.- Fusion Boundary and Gradient Enhancement Network for Camouflage Object Detection.- Find the Cliffhanger: Multi-lC)