VISION 2015 - 2015 International Symposium on Computer Vision (VISION 2015)

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
Compact Hashing for Large-Scale Visual Search
Classification and Clustering Techniques
Cognitive and Biologically Inspired Vision
Computer Vision and Natural Language Processing
Deep-learning and Feature Learning
Discrete-Continuous Optimization
Duplicate Discovery
Event and Human Activity Recognition
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 Models and Feature Representations
Web Services for Evaluating and Federating Vision Algorithms
Big Data and Vision Applications