Muutke küpsiste eelistusi

E-raamat: MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8-10, 2025, Proceedings, Part I

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
Teised raamatud teemal:
  • Formaat - EPUB+DRM
  • Hind: 135,84 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8-10, 2025, Proceedings, Part ISuurem pilt
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This five-volume set LNCS 15520-15524 constitutes the proceedings of the 31st International Conference on Multimedia Modeling, MMM 2025, held in Nara, Japan, January 8–10, 2025.
The 135 full papers and 41 short papers presented in these proceedings were carefully reviewed and selected from 348 submissions. The MMM conference was organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.

Regular Papers.- A Dual-Branch Model for Color Constancy.- A
Multi-Aspect Multi-Granularity Pronunciation Assessment Method Based on
Branchformer Encoder and Hierarchical Aggregation.- A Multi-Expert
Collaborative Framework for Multimodal Named Entity Recognition.- A Novel
Human Abnormal Posture Detection Method Based on Spatial-Topological Feature
Fusion of Skeleton.- AD2AT: Audio Description to Alternative Text, a Dataset
of Alternative Text from Movies.- AMFT-YOLO: A Adaptive Multi-Scale YOLO
Algorithm with Multi-Level Feature Fusion for Object Detection in UAV
Scenes.- AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News
Detection.- An Analytical Method for Rendering Plenoptic Cameras 2.0 on 3D
Multi-Layer Displays.- Balancing Efficiency and Accuracy: An Analysis of
Sampling for Video Copy Detection.- BiCA-YOLO: Bidirectional Feature
Enhancement and Cross Coordinate Attention for Small Object Detection.- BLCC:
A Benchmark for Multi-LiDAR and Multi-Camera Calibration.-Boosting Human Pose
Estimation via Heatmap Refinement.- Camouflaged Object Detection Based on
Localization Guidance and Multi-Scale Refinement.- Chain of Thought Guided
Few-shot Fine-tuning of LLMs for Multimodal Aspect-based Sentiment
Classification.- CLIP Multi-modal Hashing for Multimedia
Retrieval.- Comparative Analysis of Relevance Feedback Techniques for Image
Retrieval.- Cross-View Geo-Localization via Learning Correspondence Semantic
Similarity Knowledge.- DART: Depth-Enhanced Accurate and Real-Time Background
Matting. Data-free Functional Projection of Large Language Models onto Social
Media Tagging Domain.- Deep Dual Internal Learning for Hyperspectral Image
Super-Resolution.- Detoxification of Unlabeled Dataset: Reducing Implicit
Class Imbalance Using Pseudo-Jacobian of GAN's Generator.- DistillSleep:
Leverage Self-Distillation to Improve Performance After Representation
Learning for Sleep Staging.- DocMamba: Robust Document Image Dewarping via
Selective State Space Sequence Modeling.- Dual-Task Feedback Learning for
Tongue Detection via Super-Resolution Integration.- Dynamic Exploration
Graph: A Novel Approach for Efficient Nearest Neighbor Search in Evolving
Multimedia Datasets.- EIA: Edge-aware Imperceptible Adversarial Attacks on 3D
Point Clouds.- Enhancing Environmental Monitoring through Multispectral
Imaging: The WasteMS Dataset for Semantic Segmentation of Lakeside
Waste.- ESC-MISR: Enhancing Spatial Correlations for Multi-Image
Super-Resolution in Remote Sensing.- Flat Local Minima for Continual learning
on Semantic Segmentation.- FoodMLLM-JP: Leveraging Multimodal Large Language
Models for Japanese Recipe Generation.- Frequency-aware Convolution for Sound
Event Detection.- Frequency-Based Unsupervised Low-Light Image Enhancement
Framework.- GFA-UDIS: Global-to-Flow Alignment for Unsupervised Deep Image
Stitching.
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97898196205486e.html