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MultiMedia Modeling

Overview of attention for book
Cover of 'MultiMedia Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Photo-Realistic Facial Emotion Synthesis Using Multi-level Critic Networks with Multi-level Generative Model
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    Chapter 2 Adaptive Alignment Network for Person Re-identification
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    Chapter 3 Visual Urban Perception with Deep Semantic-Aware Network
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    Chapter 4 Deep Reinforcement Learning for Automatic Thumbnail Generation
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    Chapter 5 3D Object Completion via Class-Conditional Generative Adversarial Network
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    Chapter 6 Video Summarization with LSTM and Deep Attention Models
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    Chapter 7 Challenges in Audio Processing of Terrorist-Related Data
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    Chapter 8 Identifying Terrorism-Related Key Actors in Multidimensional Social Networks
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    Chapter 9 Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks
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    Chapter 10 A Semantic Knowledge Discovery Framework for Detecting Online Terrorist Networks
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    Chapter 11 A Reliability Object Layer for Deep Hashing-Based Visual Indexing
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    Chapter 12 Spectral Tilt Estimation for Speech Intelligibility Enhancement Using RNN Based on All-Pole Model
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    Chapter 13 Multi-channel Convolutional Neural Networks with Multi-level Feature Fusion for Environmental Sound Classification
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    Chapter 14 Audio-Based Automatic Generation of a Piano Reduction Score by Considering the Musical Structure
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    Chapter 15 Violin Timbre Navigator: Real-Time Visual Feedback of Violin Bowing Based on Audio Analysis and Machine Learning
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    Chapter 16 The Representation of Speech in Deep Neural Networks
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    Chapter 17 Realtime Human Segmentation in Video
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    Chapter 18 psDirector: An Automatic Director for Watching View Generation from Panoramic Soccer Video
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    Chapter 19 No-Reference Video Quality Assessment Based on Ensemble of Knowledge and Data-Driven Models
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    Chapter 20 Understanding Intonation Trajectories and Patterns of Vocal Notes
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    Chapter 21 Temporal Lecture Video Fragmentation Using Word Embeddings
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    Chapter 22 Using Coarse Label Constraint for Fine-Grained Visual Classification
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    Chapter 23 Gated Recurrent Capsules for Visual Word Embeddings
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    Chapter 24 An Automatic System for Generating Artificial Fake Character Images
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    Chapter 25 Person Re-Identification Based on Pose-Aware Segmentation
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    Chapter 26 Neuropsychiatric Disorders Identification Using Convolutional Neural Network
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    Chapter 27 Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS
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    Chapter 28 Temporal Action Localization Based on Temporal Evolution Model and Multiple Instance Learning
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    Chapter 29 Near-Duplicate Video Retrieval Through Toeplitz Kernel Partial Least Squares
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    Chapter 30 Action Recognition Using Visual Attention with Reinforcement Learning
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    Chapter 31 Soccer Video Event Detection Based on Deep Learning
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    Chapter 32 Spatio-Temporal Attention Model Based on Multi-view for Social Relation Understanding
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    Chapter 33 Detail-Preserving Trajectory Summarization Based on Segmentation and Group-Based Filtering
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    Chapter 34 Single-Stage Detector with Semantic Attention for Occluded Pedestrian Detection
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    Chapter 35 Poses Guide Spatiotemporal Model for Vehicle Re-identification
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    Chapter 36 Alignment of Deep Features in 3D Models for Camera Pose Estimation
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    Chapter 37 Regular and Small Target Detection
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    Chapter 38 From Classical to Generalized Zero-Shot Learning: A Simple Adaptation Process
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    Chapter 39 Bag of Deep Features for Instructor Activity Recognition in Lecture Room
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    Chapter 40 A New Hybrid Architecture for Human Activity Recognition from RGB-D Videos
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    Chapter 41 Utilizing Deep Object Detector for Video Surveillance Indexing and Retrieval
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    Chapter 42 Deep Recurrent Neural Network for Multi-target Filtering
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    Chapter 43 Adversarial Training for Video Disentangled Representation
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    Chapter 44 A Method for Enriching Video-Watching Experience with Applied Effects Based on Eye Movements
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    Chapter 45 Fontender: Interactive Japanese Text Design with Dynamic Font Fusion Method for Comics
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    Chapter 46 Training Researchers with the MOVING Platform
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    Chapter 47 Space Wars: An AugmentedVR Game
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    Chapter 48 ECAT - Endoscopic Concept Annotation Tool
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    Chapter 49 Automatic Classification and Linguistic Analysis of Extremist Online Material
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    Chapter 50 Autopiloting Feature Maps: The Deep Interactive Video Exploration (diveXplore) System at VBS2019
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    Chapter 51 VISIONE at VBS2019
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    Chapter 52 VIRET Tool Meets NasNet
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    Chapter 53 VERGE in VBS 2019
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    Chapter 54 VIREO @ Video Browser Showdown 2019
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    Chapter 55 Deep Learning-Based Concept Detection in vitrivr
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    Chapter 56 Structure Analysis on Common Plot in Four-Scene Comic Story Dataset
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    Chapter 57 Multi-task Model for Comic Book Image Analysis
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    Chapter 58 Estimating Comic Content from the Book Cover Information Using Fine-Tuned VGG Model for Comic Search
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    Chapter 59 How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics
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    Chapter 60 Comic Text Detection Using Neural Network Approach
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    Chapter 61 CNN-Based Classification of Illustrator Style in Graphic Novels: Which Features Contribute Most?
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Title
MultiMedia Modeling
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-05716-9
ISBNs
978-3-03-005715-2, 978-3-03-005716-9
Editors

Kompatsiaris, Ioannis, Huet, Benoit, Mezaris, Vasileios, Gurrin, Cathal, Cheng, Wen-Huang, Vrochidis, Stefanos

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The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 43%
Student > Bachelor 2 10%
Other 1 5%
Student > Master 1 5%
Researcher 1 5%
Other 1 5%
Unknown 6 29%
Readers by discipline Count As %
Computer Science 7 33%
Engineering 3 14%
Biochemistry, Genetics and Molecular Biology 1 5%
Social Sciences 1 5%
Mathematics 1 5%
Other 2 10%
Unknown 6 29%