MultiMedia Modeling : 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part II / edited by Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata.

Format:

Book

Contributor:

Rudinac, Stevan, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 14555

Language:

English

Subjects (All):

Computer vision.

Image processing.

Pattern recognition systems.

Application software.

Information storage and retrieval systems.

Machine learning.

Computer Vision.

Image Processing.

Automated Pattern Recognition.

Computer and Information Systems Applications.

Information Storage and Retrieval.

Machine Learning.

Local Subjects:

Computer Vision.

Image Processing.

Automated Pattern Recognition.

Computer and Information Systems Applications.

Information Storage and Retrieval.

Machine Learning.

Physical Description:

1 online resource (540 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

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.

Contents:

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-Modal Trailerness in Soap Operas

SM-GAN: Single-stage and Multi-object Text Guided Image Editing

MAVAR-SE: Multi-scale Audio-Visual Association Representation Network for End-to-end Speaker Extraction

NearbyPatchCL: Leveraging Nearby Patches for Self-Supervised Patch-Level Multi-Class Classification in Whole-Slide Images

Improving Small License Plate Detection with Bidirectional Vehicle-plate Relation

A Purified Stacking Ensemble Framework for Cytology Classification

SEAS-Net: Segment Exchange Augmentation for Semi-Supervised Brain Tumor Segmentation

Super-Resolution-Assisted Feature Refined Extraction for Small Objects in Remote Sensing Images

Lightweight Image Captioning Model Based on Knowledge Distillation

Irregular License Plate Recognition via Global Information Integration

TNT-Net: Point Cloud Completion by Transformer in Transformer

Fourier Transformer for Joint Super-Resolution and Reconstruction of Mr Image

MVD-NeRF: Resolving Shape-Radiance Ambiguity via Mitigating View Dependency

DPM-Det: Diffusion Model Object Detection Based on DPM-Solver++ Guided Sampling

CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer

A Coarse and Fine Grained Masking Approach for Video-grounded Dialogue

Deep self-supervised subspace clustering with triple loss

LigCDnet:Remote Sensing Image Cloud Detection Based on Lightweight Framework

Gait Recognition Based on Temporal Gait Information Enhancing

Learning Complementary Instance Representation with Parallel Adaptive Graph-Based Network for Action Detection

CESegNet:Context-Enhancement Semantic Segmentation Network Based on Transformer

MoCap-Video Data Retrieval with Deep Cross-Modal Learning

LRATNet: Local-Relationship-Aware Transformer Network for Table Structure Recognition.

Other Format:

Print version: Rudinac, Stevan MultiMedia Modeling

ISBN:

3-031-53308-9