Home > Computing and Information Technology > Computer science > Artificial intelligence > Computer vision > MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025, Proceedings, Part I(15520 Lecture Notes in Computer Science)
2%
MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025, Proceedings, Part I(15520 Lecture Notes in Computer Science)

MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025, Proceedings, Part I(15520 Lecture Notes in Computer Science)

          
5
4
3
2
1

Out of Stock


Premium quality
Premium quality
Bookswagon upholds the quality by delivering untarnished books. Quality, services and satisfaction are everything for us!
Easy Return
Easy return
Not satisfied with this product! Keep it in original condition and packaging to avail easy return policy.
Certified product
Certified product
First impression is the last impression! Address the book’s certification page, ISBN, publisher’s name, copyright page and print quality.
Secure Checkout
Secure checkout
Security at its finest! Login, browse, purchase and pay, every step is safe and secured.
Money back guarantee
Money-back guarantee:
It’s all about customers! For any kind of bad experience with the product, get your actual amount back after returning the product.
On time delivery
On-time delivery
At your doorstep on time! Get this book delivered without any delay.
Notify me when this book is in stock
Add to Wishlist

About the Book

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.

Table of Contents:
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.


Best Sellers


Product Details
  • ISBN-13: 9789819620531
  • Publisher: Springer Nature Switzerland AG
  • Publisher Imprint: Springer Nature Switzerland AG
  • Height: 235 mm
  • No of Pages: 456
  • Series Title: 15520 Lecture Notes in Computer Science
  • Width: 155 mm
  • ISBN-10: 9819620538
  • Publisher Date: 03 Jan 2025
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025, Proceedings, Part I


Similar Products

How would you rate your experience shopping for books on Bookswagon?

Add Photo
Add Photo

Customer Reviews

REVIEWS           
Click Here To Be The First to Review this Product
MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025, Proceedings, Part I(15520 Lecture Notes in Computer Science)
Springer Nature Switzerland AG -
MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025, Proceedings, Part I(15520 Lecture Notes in Computer Science)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025, Proceedings, Part I(15520 Lecture Notes in Computer Science)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book
    Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!
    ASK VIDYA