Update cookies preferences

E-book: MultiMedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 - February 2, 2024, Proceedings, Part II

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Format: PDF+DRM
  • Series: Lecture Notes in Computer Science 14555
  • Pub. Date: 27-Jan-2024
  • Publisher: Springer International Publishing AG
  • Language: eng
  • ISBN-13: 9783031533082
Other books in subject:
  • Format - PDF+DRM
  • Price: 98,18 €*
  • * the price is final i.e. no additional discount will apply
  • Add to basket
  • Add to Wishlist
  • This ebook is for personal use only. E-Books are non-refundable.
MultiMedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 - February 2, 2024, Proceedings, Part IILarger Image
  • Format: PDF+DRM
  • Series: Lecture Notes in Computer Science 14555
  • Pub. Date: 27-Jan-2024
  • Publisher: Springer International Publishing AG
  • Language: eng
  • ISBN-13: 9783031533082
Other books in subject:

DRM restrictions

  • Copying (copy/paste):

    not allowed

  • Printing:

    not allowed

  • Usage:

    Digital Rights Management (DRM)
    The publisher has supplied this book in encrypted form, which means that you need to install free software in order to unlock and read it.  To read this e-book you have to create Adobe ID More info here. Ebook can be read and downloaded up to 6 devices (single user with the same Adobe ID).

    Required software
    To read this ebook on a mobile device (phone or tablet) you'll need to install this free app: PocketBook Reader (iOS / Android)

    To download and read this eBook on a PC or Mac you need Adobe Digital Editions (This is a free app specially developed for eBooks. It's not the same as Adobe Reader, which you probably already have on your computer.)

    You can't read this ebook with Amazon Kindle

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.
Self-distillation Enhanced Vertical Wavelet Spatial Attention for
Person Re-identification.- High Capacity Reversible Data Hiding in Encrypted
Images Based onPixel 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 ofMr 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-groundedDialogue.- 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 NetworkBased
on Transformer.- MoCap-Video Data Retrieval with Deep Cross-Modal
Learning.- LRATNet: Local-Relationship-Aware Transformer Network for
TableStructure Recognition.
More information about ebooks More information about ebooks
Permanent link: https://www.kriso.ee/db/97830315330822e.html