MultiMedia Modeling

Name: MultiMedia Modeling | 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part II
Brand: Springer
Price: 53.49 EUR
Availability: OnlineOnly

22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part II

Qi Tian Nicu Sebe Guo-Jun Qi Benoit Huet Richang Hong Xueliang Liu(Herausgeber*in)

Springer (Verlag)

Erschienen am 31. Dezember 2015

XXIII, 433 Seiten

E-Book

PDF mit Wasserzeichen-DRM

Systemvoraussetzungen

978-3-319-27674-8 (ISBN)

53,49 €inkl. 7% MwSt.

Systemvoraussetzungen

für PDF mit Wasserzeichen-DRM

E-Book Einzellizenz

Als Download verfügbar

Beschreibung

Weitere Details

Weitere Ausgaben

Inhalt

Intro
Preface
Organization
Contents - Part II
Contents - Part I
Special Session Poster Papers (continued)
Transfer Nonnegative Matrix Factorization for Image Representation
1 Introduction
2 Related Work
3 Preliminaries
3.1 Nonnegative Matrix Factorization
3.2 Hessian Regularization
4 Transfer Nonnegative Matrix Factorization
4.1 Problem Definition
4.2 Proposed Approach
4.3 Optimization
5 Experiments
5.1 Dataset Description
5.2 Performance on Cross-Domain Datasets
6 Conclusion
References
Sentiment Analysis on Multi-View Social Data
1 Introduction
2 Related Works
2.1 Sentiment Analysis Datasets
2.2 Sentiment Analysis Approaches
3 The MVSA Dataset
3.1 Data Collection and Annotation
3.2 Data Analysis
4 Predicting Sentiment in Multi-view Data
4.1 Text-Based Approaches
4.2 Visual-Based Approaches
4.3 Multi-view Sentiment Analysis
5 Experiments
5.1 Results on Textual Messages
5.2 Results on Images
5.3 Results on Multi-View Data
6 Conclusion and Future Work
References
Single Image Super-Resolution via Convolutional Neural Network and Total Variation Regularization
Abstract
1 Introduction
2 Overview of the SR Algorithm
3 Convolutional Neural Network for SR
3.1 Training Set Generation
3.2 Convolutional Neural Network for SR
4 Regularization Constraints for SR
4.1 Non-Local Similarity Regularization Constraint
4.2 Local Similarity Regularization Constraint
4.3 Fundamental Formula
5 Experimental Results
5.1 Datasets
5.2 Results and Comparison
6 Conclusion
References
An Effective Face Verification Algorithm to Fuse Complete Features in Convolutional Neural Network
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Network Structure
3.2 Feature Extraction
3.3 Verification
4 Experiments
5 Conclusion
References
Driver Fatigue Detection System Based on DSP Platform
Abstract
1 Introduction
2 Methodology
2.1 Face Detection
2.2 Eye Detection
2.3 Eye State Estimation
3 Experiment and Results
3.1 Experiment Setting
3.2 Experimental Results
4 Conclusion
References
Real-Time Grayscale-Thermal Tracking via Laplacian Sparse Representation
1 Introduction
2 Related Work
3 Bayesian Filtering for Object Tracking
4 Observation Model
4.1 Laplacian Sparse Representation
4.2 Candidate Likelihood
5 Experiments
5.1 Evaluation Settings
5.2 Evaluation Metrics
5.3 Comparison Results
5.4 Component Analysis
6 Conclusion
References
Efficient Perceptual Region Detector Based on Object Boundary
1 Introduction
2 Related Work
2.1 Superpixel
2.2 Local Detectors
2.3 General Object Proposal
3 CAR: The Method
3.1 Contour-Aware Superpixel (CAS)
3.2 Perceptual Regions Detection
4 Experiments
4.1 Under-Segmentation Error
4.2 Boundary Recall
4.3 CAR Detector Repeatability
5 Conclusions
References
1D Barcode Region Detection Based on the Hough Transform and Support Vector Machine
Abstract
1 Introduction
2 Proposed Method
2.1 Barcode Detection
2.2 Support Vector Machine
2.3 Hough Transform
2.4 Using the SVM Classifier to Judge Pieces of the Image
2.5 Post-processing
3 Experiments and Results Analysis
3.1 Datasets
3.2 Result
4 Conclusion
Acknowledgment
References
Special Session Papers
Client-Driven Strategy of Large-Scale Scene Streaming
1 Introduction
2 Related Works
3 Overview
4 Multiple-resolution 3D Space Adaptive Grid Creation
5 Scene Streaming Assemble Strategy
5.1 Dynamic Double Layer AOI (D-DLAOI)
5.2 Object Priority Determination and LOD Resolution
6 Experimental Results
7 Conclusion and Future Work
References
SELSH: A Hashing Scheme for Approximate Similarity Search with Early Stop Condition
1 Introduction
2 Preliminaries
2.1 Problem Definition
2.2 Notations
3 Related Work
4 Our Method
4.1 LSH Function
4.2 Distance Measure, Linear Order and Early Stop Condition
4.3 Index Structure
4.4 Search Process
4.5 Complexity Analysis
5 Experimental Results
5.1 Set up
5.2 Selection of Appropriate Parameters
5.3 Comparison with SK-LSH and C2LSH
6 Conclusion
References
Learning Hough Transform with Latent Structures for Joint Object Detection and Pose Estimation
1 Introduction
2 Related Work
3 Our Approach
3.1 Hough-Based Object Detection
3.2 Latent Deformable Feature Model
3.3 Multiple Instance Learning for M2HT
4 Experiment
4.1 Experiment Settings
4.2 Object Detection
4.3 Car Pose Estimation
5 Conclusion
References
Consensus Guided Multiple Match Removal for Geometry Verification in Image Retrieval
1 Introduction
2 Approximate Feature Matching
3 Geometric Verification by Hough Voting
4 Consensus Guided Multiple Match Removal
5 Experiments
5.1 Datasets and Evaluation
5.2 Experimental Setup
5.3 Experimental Results
6 Conclusion
References
Locality Constrained Sparse Representation for Cat Recognition
1 Introduction
2 The Methodology
2.1 Overview
2.2 Problem Formalism for Sparse Feature Representation
2.3 Supervised Dictionary Learning Approach
2.4 Recognition Task
3 Experimental Results
3.1 Dataset and Experimental Settings
3.2 Performance Evaluation
4 Conclusion and Future Work
References
User Profiling by Combining Topic Modeling and Pointwise Mutual Information (TM-PMI)
Abstract
1 Introduction
2 The Proposed Approach
2.1 Framework of the Proposed Approach
2.2 Data Preprocessing
2.3 LDA from Description of User Pins
2.4 Pointwise Mutual Information (PMI)
2.5 Personal Topic Words Extraction
2.6 Pins Recommended Based User Profile
3 Experiments
3.1 Dataset
3.2 Perplexity
3.3 User Study
3.4 Influence of the Number of Topic Words on the Result
4 Conclusion and Future Work
References
Image Retrieval Using Color-Aware Tag on Progressive Image Search and Recommendation System
1 Introduction
2 Related Works and Preliminaries
2.1 Related Works
2.2 PISAR System and WAS Algorithm
3 CAT Algorithm
3.1 Offline Phase
3.2 Online Phase
4 Experiment
4.1 Experimental Environment
4.2 Optimizing the Parameters in the CAT Algorithm
4.3 Example of Image Retrieval
4.4 Image Retrieval Result
5 Conclusions
References
Advancing Iterative Quantization Hashing Using Isotropic Prior
1 Introduction
2 Related Work
3 Isotropic Iterative Quantization
3.1 Preliminaries
3.2 Improving ITQ Using the Isotropic Prior
4 Experiments
5 Conclusion
References
An Improved RANSAC Image Stitching Algorithm Based Similarity Degree
Abstract
1 Introduction
2 The Improved RANSAC Based Similarity Degree
2.1 Transformation Matrix of Image Registration
2.2 Calculation Method for RANSAC Sampled
2.3 Feature Points Matching in Coarse Matching Step
3 Pretreatment
4 Experimental Results and Analysis
5 Conclusions
References
A Novel Emotional Saliency Map to Model Emotional Attention Mechanism
Abstract
1 Introduction
2 Emotional Saliency Map
2.1 Color Emotion Space
2.2 Emotional Saliency Map Computation
3 Experiments
3.1 Data Set and Error Measure
3.2 Experiments on Horror Image Set
3.3 Experiments on MS Image Set
4 Conclusion
Acknowlegment
References
Automatic Endmember Extraction Using Pixel Purity Index for Hyperspectral Imagery
Abstract
1 Introduction
2 Pixel Purity Index
3 Automatic Endmember Extraction Using Pixel Purity Index
3.1 Determining the Number of Endmembers Based on Noise Subspace Projection
3.2 Data Dimensionality Reduction by Improving Noise Covariance Matrix (NCM) Estimation for MNF Transformation
3.3 Experimental Results and Analysis
4 Conclusions
Acknowledgment
References
A Fast 3D Indoor-Localization Approach Based on Video Queries
1 Introduction
2 Related Work
3 Fast 3D Indoor-Localization
3.1 Pipeline
3.2 Deblurring Query Images
3.3 Interactive Foreground Segmentation
3.4 Dynamic Scene Query for Localization
4 Graph Matching Verification
5 Experiments
6 Conclusion
References
Smart Ambient Sound Analysis via Structured Statistical Modeling
1 Introduction
2 Multilayer Based Ambient Sound Understanding
2.1 Audio Preprocessing
2.2 Structured Environmental Sound Modelling
2.3 Segment Based Adaptation
2.4 Audio Concept Estimation Using SVM
3 Experimental Configuration
3.1 Data Collections
3.2 Methodology and Evaluation Metrics
3.3 Competitors for Performance Comparison
4 Experiment Results
5 Conclusions
References
Discriminant Manifold Learning via Sparse Coding for Image Analysis
1 Introduction
2 Discriminant Manifold Learning via Sparse Coding (DML_SC)
2.1 Motivation
2.2 Dictionary Learning and Feature Regrouping
2.3 Graph Embedding
3 Experiment Results
3.1 Data Preparation and Representation
3.2 Face Recognition Results
3.3 Clustering Experiment on COIL20 Database
4 Conclusion
References
A Very Deep Sequences Learning Approach for Human Action Recognition
Abstract
1 Introduction
2 Related Work
2.1 Convolutional Neural Networks
2.2 Long Short-Term Memory Block
2.3 Recent Researches
3 Essential Knowledge
3.1 Convolutional Neural Networks
3.2 Sequence Features Extraction
4 Multi-Feature Framework
4.1 Experiments Details
5 Evaluation
5.1 Single Frame Models
5.2 Sequence-Related Models
5.3 Fusion Models
5.4 Discussion of the Time Cost
6 Conclusions
Acknowledgements
References
Attribute Discovery for Person Re-Identification
1 Introduction
2 Related Work
3 The Proposed Method
3.1 Key Idea: Ideal Case
3.2 Method Detail: Real Case
4 Experiments
4.1 Experiment Setup
4.2 Result on PRID
4.3 Result on VIPeR
5 Conclusion
References
What are the Limits to Time Series Based Recognition of Semantic Concepts?
1 Introduction and Background
2 Experimental Datasets
3 Methods
4 Results
5 Discussion
6 Conclusions
References
Ten Research Questions for Scalable Multimedia Analytics
1 Introduction
1.1 Multimedia Analytics
1.2 Scalability Challenges
1.3 Scalable Multimedia Analytics
1.4 Contributions of this Paper
2 Multimedia Analytics
2.1 From Multimedia Analysis: Multimedia Representation
2.2 From Visual Analytics: Multimedia Analytics Process
2.3 Scalability Considerations
3 Database Support
3.1 Multimedia Search
3.2 Analytics Workloads
3.3 Database Management
4 Research Questions
4.1 Volume
4.2 Variety
4.3 Velocity
4.4 Visual Interaction
5 Conclusions
References
Shaping-Up Multimedia Analytics: Needs and Expectations of Media Professionals
1 Introduction
2 Methodology
2.1 The UCD Approach
2.2 Interview Stage #1: Knowing the Crowd
2.3 Interview Stage #2: Assessing Design Decisions
3 Perceived Usefulness of Analytics Functionalities
3.1 Transcripts, Keywords and Entities
3.2 Social Networks and Opinions
3.3 Links and Recommendation
3.4 Fast Access to Information
4 Lessons for Multimedia Analytics
References
Informed Perspectives on Human Annotation Using Neural Signals
1 Introduction
2 Background to EEG in Annotation Tasks
3 User Annotation Experiment
3.1 EEG Setup and Configuration
3.2 Experiment Outline
4 Results of the User Annotation Experiment
5 Perspectives on the Experiment and Suggestions
References
Demo Session Papers
GrillCam: A Real-Time Eating Action Recognition System
1 Introduction
2 System Overview
3 Experiments
4 Conclusions
References
Searching in Video Collections Using Sketches and Sample Images -- The Cineast System
1 Introduction
2 Cineast
2.1 Architecture
2.2 Features
2.3 User Interaction
2.4 Implementation
3 Cineast in Action
4 Conclusion
References
LoggerMan, a Comprehensive Logging and Visualization Tool to Capture Computer Usage
1 Introduction
2 Background
3 LoggerMan Overview
3.1 Privacy and Technical Specification
3.2 Modules
3.3 Reporting and Insight
4 Demonstration and Evaluation
5 Conclusions
References
E2SGM: Event Enrichment and Summarization by Graph Model
1 Introduction
2 Our Solution
2.1 Dataset
2.2 Coarse Query
2.3 Graph-Based Ranking
2.4 Illustration
3 Implement and Result
3.1 Implement Configuration
3.2 Results
4 Conclusions
References
METU-MMDS: An Intelligent Multimedia Database System for Multimodal Content Extraction and Querying
1 Introduction
2 System Architecture
2.1 Semantic Content Extraction
2.2 Storage and Retrieval
3 Demonstration Details
4 Conclusion
References
Applying Visual User Interest Profiles for Recommendation and Personalisation
1 Introduction
2 Visual User Interest Modeling
2.1 Visual Feature Extraction
3 Utilising the Visual Profile
4 Applications of the Prototype Visual Profile
4.1 Hotel Booking System: An Example Application
5 Conclusion and Future Work
References
Cross-Modal Fashion Search
1 Introduction
2 Functionality Overview
3 Methodology
4 Conclusions
References
Video Browser Showdown
IMOTION -- Searching for Video Sequences Using Multi-Shot Sketch Queries
1 Introduction
2 The IMOTION System
2.1 Architecture
2.2 Implementation
3 New Functionality and User Interaction
3.1 Multi-Shot Queries
3.2 Object Recognition and Retrieval
3.3 Result Limitation and Collaborative Search
3.4 Result Presentation and Browsing
3.5 Additional and Improved Video Features
4 Conclusions
References
iAutoMotion -- an Autonomous Content-Based Video Retrieval Engine
1 Introduction
2 System Architecture
2.1 Perspective Undistortion and Color Correction
2.2 Visual Search and Text Search
2.3 Query Composition
2.4 Result Aggregator and Submitter
3 User Interaction
3.1 Setup and Configuration
3.2 Query Initialization
4 Implementation
5 Conclusions
References
Selecting User Generated Content for Use in Media Productions
1 Introduction
2 Related Work
3 Content Preparation
4 Browsing User Interface
5 Conclusion
References
VERGE: A Multimodal Interactive Search Engine for Video Browsing and Retrieval
Abstract
1 Introduction
2 Video Retrieval System
2.1 Video Temporal Segmentation
2.2 Visual Similarity Search
2.3 Object-Based Visual Search
2.4 High Level Concept Retrieval Module
2.5 Hierarchical Clustering
3 VERGE Interface and Interaction Modes
4 Future Work
Acknowledgements
References
Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection
1 Introduction and Related Work
2 Proposed Approach
2.1 Content-Based Video Retrieval (CBVR) Tool
2.2 Tablet App
2.3 Collaboration Mechanism
References
Multi-sketch Semantic Video Browser
1 Introduction
2 Multi-sketch Filtering
2.1 Feature Signatures
2.2 Edge Histograms
3 Browsing
3.1 Semantic Similarity Search
3.2 Browsing Features
4 Conclusion
References
Faceted Navigation for Browsing Large Video Collection
1 Introduction
2 Video Segmentation and Representation
3 Visual Content Analysis
4 Faceted Navigation
5 Browsing Interface
References
Navigating a Graph of Scenes for Exploring Large Video Collections
Abstract
1 Introduction
2 Generating Semantic Features
3 Enriching a Graph of Scenes with Semantic Information
4 Projecting and Navigating a Graph in a 2D Manner
5 Vibro System
References
Mental Visual Browsing
1 Introduction
2 Video Visual Features
3 Statistical Feedback Model
3.1 Update
3.2 Click
3.3 Display
References
Author Index

Systemvoraussetzungen

Als PDF speichern Als Link merken