VisionNet 2016 - Third International Symposium on Computer Vision and the Internet (VisionNet’16)

With the explosion of images and video on the web, dealing with the large amount of unorganized visual data available has become immensely challenging. Large search engines are being created to make sense out of this data. The Internet has become an increasingly important tool for computer vision research. The VisionNet aims to bring together leading researchers to take stock of the state of the art, identify key challenges, and propose new directions.
High-quality papers that at the time of submission are not under review or have not already been published or accepted for publication elsewhere are solicited. The specific topic areas of interest include, but are not limited to, the following:
3D Modeling
Aging Pattern Analysis
Binary Codes for Large Scale Computer Vision
Big Data and Vision Applications
Computer Vision and Business Intelligence
Computer Vision and Privacy
Computer Vision and IoT
Compact Hashing for Large-Scale Visual Search
Classification and Clustering Techniques
Computer Vision in Vehicle Technology
Cognitive and Biologically Inspired Vision
Computer Vision and Natural Language Processing
Deep-learning and Feature Learning
Deep Fragment Embedding
Discrete-Continuous Optimization
Duplicate Discovery
Event and Human Activity Recognition
Extracting Audio from Visual Information
Geospatial Context for Computer Vision
Heterogeneous Feature Tracking
Image and Video Analysis
Image Categorization
Image Enhancement and Restoration
Image Filtering and Hybrid Images
Indexing Algorithms and Data Structures
Integration of Metadata and Visual Content Analysis for Web Image Retrieval
Joint Image and Text Modelling
Keyword Based Image Search
Large Scale Image Retrieval
Learning from Incomplete Image Tags
Machine Learning Technologies for Vision
Mid-level Patch Discovery
Modeling, Reconstruction, and Visualization
Motion Tracking and Stereo Vision
Multi-Label Learning
Multimodal Sentiment Analysis
Multisensor Data Fusion
Natural User Interfaces
Object and Face Recognition
Optimization Methods for Computer Vision
Rich Advertising
Scene Understanding
Segmentation and Grouping
Semantic Analysis of Images and Videos
Sensors and Early Vision
Signal Processing for Computer Vision
Understanding Human Motion
Visual Analysis in Social Networking
Visual Commerce
Visual Models and Feature Representations
Visual Vibrometry
Web Services for Evaluating and Federating Vision Algorithms
Web-Scale Computer Vision
All papers that conform to submission guidelines will be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to workshop, contributions, and readability. All accepted and presented papers will be published in the proceedings and archived in the ACM Digital Library. Also, all the papers of the proceedings will be submitted to major database indexers for indexing.
KEY DATES
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Paper Submission Ends: April 30, 2016
Acceptance Notification: June 30, 2016
Final Paper Deadline: July 31, 2016.