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El. knyga: MultiMedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 - February 2, 2024, Proceedings, Part III

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  • Formatas: PDF+DRM
  • Serija: Lecture Notes in Computer Science 14556
  • Išleidimo metai: 27-Jan-2024
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783031533112
  • Formatas: PDF+DRM
  • Serija: Lecture Notes in Computer Science 14556
  • Išleidimo metai: 27-Jan-2024
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783031533112

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This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29–February 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.
Global-to-Local Feature Mining Network for RGB-Infrared
Person Re-Identification.- Semantic Transition Detection for Self-Supervised
Vide Scene Segmentation.- Multi-Task Collaborative Network for Image-text
Retrieval.- FGENet:Fine-Grained Extraction Network for Congested Crowd
Counting.- MSMV-UNet : A 2.5D Stroke Lesion Segmentation Method based
on Multi-slice Feature Fusion.- Non-Local Spatial-Wise and Global
Channel-Wise Transformer forEfficient Image
Super-Resolution.- MobileViT-FocR: MobileViT with Fixed-One-Centre Loss and
Gradient Reversal for Generalised Fake Face Detection.- ASF-Conformer: Audio
Scoring Conformer with FFC for Speaker Verification in Noisy
Environments.- Prior-Knowledge-Free Video Frame Interpolation with
Bidirectional Regularized Implicit Neural Representations.- Two-Stage
Reasoning Network with Modality Decomposition for TextVQA.- Localization and
Local Motion Magnification of Pulsatile Regions in Endoscopic Surgery
Videos.- Co-speech Gesture Generation with Variational Auto
Encoder.- Differentiable Neural Architecture Search Based on
Efficient Architecture for Lightweight Image Super-Resolution.- Learning
Collaborative Reinforcement Attention for 3D Face Reconstruction and Dense
Alignment.- Exploring Multi-Modal Fusion for Image Manipulation Detection
and Localization.- Object-based Spatio-Temporal Heterogeneous Network for
VideoQA.- Adaptive Token Selection and Fusion Network for
Multimodal Sentiment Analysis.- Exploring Imperceptible Adversarial Examples
in YCbCr Color Space.- Fractional-order image moments and
applications.- Time-Quality Tradeoff of MuseHash Query Processing
Performance.- Dual-Fisheye Image Stitching via Unsupervised Deep
Learning.- CA-GAN: Conditional Adaptive Generative Adversarial Network
for Text-to-Image Synthesis.- RDC-YOLOv5:Improved Safety Helmet Detection in
Adverse Weather.- Sustainable Commercial Fishery Control using Multimedia
Forensics Data from Non-trusted, Mobile Edge Nodes.- MC-TCMNER: A Multi-Modal
Fusion Model Combining Contrast Learning Method for Traditional Chinese
Medicine NER.- C3-PO: A Convolutional Neural Network for COVID Onset
Predictionfrom Cough Sounds.- Pseudo-label based Unsupervised Momentum
Representation Learning for Multi-domain Image Retrieval.- DFGait:
Decomposition Fusion Representation Learning for Multimodal Gait
Recognition.-  MoPE: Mixture of Pooling Experts Framework for Image-Text
Retrieval.- Multi-Modal Video Topic Segmentation with Dual-Contrastive
Domain Adaptation.- Unsupervised Multi-Collaborative Learning Network for 3D
Face Reconstruction.- A Region Based Non-overlapping Reference Speech
Estimation Method for Speaker Extraction.- Self-Supervised Edge Structure
Learning forMulti-View Stereo and Parallel Optimization.- Prototype-Enhanced
Hypergraph Learning for Heterogeneous Information Networks.- A Language-based
solution to enable Metaverse Retrieval.- Part-aware Prompt Tuning For Weakly
Supervised Referring Expression Grounding.- Adversarially Robust Deepfake
Detection via Adversarial Feature Similarity Learning.- A Multidimensional
Taxonomy Model for Music Tangible User Interfaces.