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MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South Korea, January 58, 2020, Proceedings, Part II 2020 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 820 pages, kõrgus x laius: 235x155 mm, kaal: 1282 g, 271 Illustrations, color; 114 Illustrations, black and white; XXX, 820 p. 385 illus., 271 illus. in color., 1 Paperback / softback
  • Sari: Information Systems and Applications, incl. Internet/Web, and HCI 11962
  • Ilmumisaeg: 25-Dec-2019
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030377334
  • ISBN-13: 9783030377335
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  • Formaat: Paperback / softback, 820 pages, kõrgus x laius: 235x155 mm, kaal: 1282 g, 271 Illustrations, color; 114 Illustrations, black and white; XXX, 820 p. 385 illus., 271 illus. in color., 1 Paperback / softback
  • Sari: Information Systems and Applications, incl. Internet/Web, and HCI 11962
  • Ilmumisaeg: 25-Dec-2019
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030377334
  • ISBN-13: 9783030377335
The two-volume set LNCS 11961 and 11962 constitutes the thoroughly refereed proceedings of the 25th International Conference on MultiMedia Modeling, MMM 2020, held in Daejeon, South Korea, in January 2020.





Of the 171 submitted full research papers, 40 papers were selected for oral presentation and 46 for poster presentation; 28 special session papers were selected for oral presentation and 8 for poster presentation; in addition, 9 demonstration papers and 6 papers for the Video Browser Showdown 2020 were accepted. The papers of LNCS 11961 are organized in the following topical sections: audio and signal processing; coding and HVS; color processing and art; detection and classification; face; image processing; learning and knowledge representation; video processing; poster papers; the papers of LNCS 11962 are organized in the following topical sections: poster papers; AI-powered 3D vision; multimedia analytics: perspectives, tools and applications; multimedia datasets for repeatable experimentation; multi-modal affective computing of large-scale multimedia data; multimedia and multimodal analytics in the medical domain and pervasive environments; intelligent multimedia security; demo papers; and VBS papers.
Poster Papers.- Multi-Scale Comparison Network for Few-Shot Learning.-
Semantic and  Morphological Information guided Chinese Text Classification.-
A Delay-aware Adaptation Framework for Cloud Gaming under the Computation
Constraint of User Devices.- Efficient Edge Caching for High-Quality
360-Degree Video Delivery.- Inferring Emphasis for Real Voice Data: an
Attentive Multimodal Neural Network Approach.- PRIME: Block-wise Missingness
Handling for Multi-modalities in Intelligent Tutoring Systems.- A New Local
Transformation Module for Few-shot Segmentation.- Background Segmentation for
Vehicle Re-Identification.- Face Tells Detailed Expression: Generating
Comprehensive Facial Expression Sentence through Facial Action Units.- A Deep
Convolutional Deblurring and Detection Neural Network for Localizing Text in
Videos.- Generate images with obfuscated attributes for private image
classifcation.- Context-Aware Residual Network with Promotion Gates for
Single Image Super-Resolution.- A Compact Deep Neural Network for Single
Image Super-Resolution.- An Efficient Algorithm of Facial Expression
Recognition by TSG-RNN Network.- Structured Neural Motifs: Scene Graph
Parsing via Enhanced Context.- Perceptual Localization of Virtual Sound
Source Based on Loudspeaker Triplet.- TK-Text: Multi-shaped Scene Text
Detection via Instance Segmentation.- More-Natural Mimetic Words Generation
for Fine-grained Gait Description.- Lite Hourglass Network for Multi-person
Pose Estimation.- SS1: AI-Powered 3D Vision.- Single View Depth Estimation
via Dense Convolution Network with Self-supervision.- Multi-Data UAV Images
for Large Scale Reconstruction of Buildings.- Deformed Phase Prediction Using
SVM for Structured Light Depth Generation.- Extraction of Multi-class
Multi-instance Geometric Primitives from Point Clouds Using Energy
Minimization.- Similarity Graph Convolutional Construction Network for
Interactive Action Recognition.- Content-Aware Cubemap Projection for
Panoramic Image via Deep Q-Learning.- Robust RGB-D Data Registration Based on
Correntropy and Bi-directional Distance.- InSphereNet: a Concise
Representation and Classification Method for 3D Object.- 3-D Oral Shape
Retrieval Using Registration Algorithm.- Face Super-Resolution by Learning
Multi-view Texture Compensation.- Light Field Salient Object Detection via
Hybrid Priors.- SS2: Multimedia Analytics: Perspectives, Tools and
Applications.- Multimedia Analytics Challenges and Opportunities for Creating
Interactive Radio Content.- Interactive Search and Exploration in Discussion
Forums Using Multimodal Embeddings.- An inverse mapping with manifold
alignment for zero-shot learning.- Baseline Analysis of a Conventional and
Virtual Reality Lifelog Retrieval System.- An Extensible Framework for
Interactive Real-time Visualizations of Large-scale Heterogeneous Multimedia
Information from Online Sources.- SS3: MDRE: Multimedia Datasets for
Repeatable Experimentation.- GLENDA: Gynecologic Laparoscopy Endometriosis
Dataset.- Kvasir-SEG: A Segmented Polyp Dataset.- Rethinking the Test
Collection Methodology for Personal Self-Tracking Data.- Experiences and
Insights from the Collection of a Novel Multimedia EEG Dataset.- SS4: MMAC:
Multi-Modal Affective Computing of Large-Scale Multimedia Data.- Relation
Modeling with Graph Convolutional Networks for Facial Action Unit Detection.-
Enhanced Gaze Following via Object Detection and Human Pose Estimation.-
Region Based Adversarial Synthesis of Facial Action Units.- Facial Expression
Restoration Based on Improved Graph Convolutional Networks.- Global Affective
Video Content Regression Based on Complementary Audio-Visual Features.- SS5:
MULTIMED: Multimedia and Multimodal Analytics in the Medical Domain and
Pervasive Environments.- Using Publicly Available Medical Images from the
Open Access Literature and Social Networks for Model Training and Knowledge
Extraction.- AttenNet: Deep Attention based Retinal Disease Classification in
OCT Images.- NOVA: A Tool for Explanatory Multimodal Behavior Analysis and
its Application to Psychotherapy.- Instrument Recognition in Laparoscopy for
Technical Skill Assessment.- Real-time Recognition of Daily Actions Based on
3D Joint Movements and Fisher Encoding.- Model-based and Class-based Fusion
of Multisensor Data.- Evaluating the Generalization Performance of Instrument
Classification in Cataract Surgery Videos.- SS6: Intelligent Multimedia
Security.- Compact Position-aware Attention Network for Image Semantic
Segmentation.- Law is Order: Protecting Multimedia Network Transmission by
Game Theory and Mechanism Design.- Rational Delegation Computing Using
Information Theory and Game Theory Approach.- Multi-hop Interactive
Cross-modal Retrieval.- Demo Papers.- Browsing Visual Sentiment Datasets
using Psycholinguistic Groundings.- Framework Design for Multiplayer Motion
Sensing Game in Mixture Reality.- Lyrics-Conditioned Neural Melody
Generation.- A Web-based Visualization Tool for 3D Spatial Coverage
Measurement of Aerial Images.- An Attention Based Speaker-Independent
Audio-Visual Deep Learning Model for Speech Enhancement.- DIME: An Online
Tool for the Visual Comparison of Cross-Modal Retrieval Models.- Real-time
Demonstration of Personal Audio and 3D Audio Rendering Using Line Array
Systems.- CNN-based Multi-Scale Super-Resolution Architecture on FPGA for
4K/8K UHD Applications.- Effective Utilization of Hybrid Residual Modules in
Deep Neural Networks for Super Resolution.- VBS Papers.- diveXplore 4.0: The
ITEC Deep Interactive Video Exploration System at VBS2020.- Combining Boolean
and Multimedia Retrieval in vitrivr for Large-Scale Video Search.- An
Interactive Video Search Platform for Multi-modal Retrieval with Advanced
Concepts.- VIREO @ Video Browser Showdown 2020.- VERGE in VBS 2020.- VIRET at
Video Browser Showdown 2020.- SOM-Hunter: Video Browsing with
Relevance-to-SOM Feedback Loop.- Exquisitor at the Video Browser Showdown
2020.- Deep Learning-Based Video Retrieval using Object Relationships and
Associated Audio Classes.- IVIST: Interactive Video Search Tool in VBS 2020.