
MultiMedia Modeling
30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 - February 2, 2024, Proceedings, Part V
Springer (Publisher)
Published on 15. April 2024
Book
Paperback/Softback
XV, 111 pages
978-3-031-56434-5 (ISBN)
Description
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 120 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.More details
Series
Edition
2024 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
9 s/w Abbildungen, 35 farbige Abbildungen
XV, 111 p. 44 illus., 35 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 8 mm
Weight
207 gr
ISBN-13
978-3-031-56434-5 (9783031564345)
DOI
10.1007/978-3-031-56435-2
Schweitzer Classification
Other editions
Additional editions

Stevan Rudinac | Alan Hanjalic | Cynthia Liem
MultiMedia Modeling
30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 - February 2, 2024, Proceedings, Part V
E-Book
03/2024
Springer
€58.84
Available for download
Content
RESET: Relational Similarity Extension for V3C1 Video Dataset.- A New Benchmark and OCR-free Method for Document Image Topic Classification.- The Rach3 Dataset: Towards Data-Driven Analysis of Piano Performance Rehearsal.- WikiMuTe: A web-sourced dataset of semantic descriptions for music audio.- PDTW150K: A Dataset for Patent Drawing Retrieval.- Interactive Question Answering for Multimodal Lifelog Retrieval.- Event Recognition in Laparoscopic Gynecology Videos with Hybrid Transformers.- GreenScreen: A Multimodal Dataset for Detecting Corporate Greenwashing in the Wild.