Call for papers

Submission is closed!

ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

• ICPR 2014 Call for Papers - Download (900 KB, A4 size)

Note that the maximum paper length is now 6 pages, i.e., 2 pages more than previous ICPR papers!

Important dates

• Paper submission opens 1 November 2013
• The submission deadline is 20 December 2013

Guidelines for paper submission

Please see the Paper submission page. You can also download the Guideline for Initial Paper Submission in PDF format.

Tracks and topics

Track 1: Computer Vision

• Vision sensors
• Early vision
• Low-level vision
• Biologically motivated vision
• Illumination and reflectance modeling
• Image based modeling
• Physics-based vision
• Perceptual organization
• Shape modeling and encoding
• Computational photography
• 3D shape recovery
• Motion, tracking and video analysis
• 2D/3D object detection and recognition
• Scene understanding
• Occlusion and shadow detection
• Stereo and multiple view geometry
• Reconstruction and camera motion estimation
• Vision for graphics
• Vision for robotics
• Cognitive and embodied vision

Track 2: Pattern Recognition and Machine Learning

• Statistical, syntactic and structural pattern recognition
• Machine learning and data mining
• Artificial neural networks
• Dimensionality reduction and manifold learning
• Classification and clustering
• Representation and analysis in pixel/voxel images
• Support vector machines and kernel methods
• Symbolic learning
• Active and ensemble learning
• Deep learning
• Transfer learning
• Semi-supervised learning and spectral methods
• Model selection
• Reinforcement learning and temporal models

Track 3: Image, Speech, Signal and Video Processing

• Signal, image and video processing
• Image and video analysis and understanding
• Audio and acoustic processing and analysis
• Spoken language processing
• Sensor array & multichannel signal processing
• Segmentation, features and descriptors
• Texture and color analysis
• Enhancement, restoration and filtering
• Coding, compression and super-resolution
• Automatic speech and speaker recognition
• Multimedia analysis, indexing and retrieval

Track 4: Document Analysis, Biometrics and Pattern Recognition Applications

• Pattern Recognition for Bioinformatics
• Pattern Recognition for Surveillance and Security
• Pattern Recognition for Search, Retrieval and Visualization
• Pattern Recognition for Art, Cultural Heritage and Entertainment
• Industrial image analysis
• Gesture and Behavior Analysis
• Mixed and Augmented Reality
• Inpainting and Superimposing
• Signal Processing for Astronomy
• Human Computer Interaction
• Display Hardware
• Character and Text Recognition
• Handwriting Recognition
• Graphics Recognition
• Document Understanding
• Performance Evaluation
• Human computer interaction
• Speech and natural language based interaction
• Human body motion and gesture based interaction
• Affective computing
• Facial expression recognition
• Group interaction: analysis of verbal and non-verbal communication
• Biometric systems and applications
• Multi-biometrics
• Forensic biometrics and its applications
• Fingerprint recognition
• Face recognition
• Iris recognition
• Gate recognition
• Speaker recognition
• Other biometric modalities
• Soft biometrics
• Security issues
• Other applications

Track 5: Biomedical Image Analysis

• Medical image and signal analysis
• Biological image and signal analysis
• Modeling, simulation and visualization
• Computer-aided detection and diagnosis
• Image guidance and robot guidance of interventions
• Content based image retrieval and data mining
• Medical and biological imaging
• Segmentation of medical images
• Molecular and cellular image analysis
• Volumetric image analysis
• Deformable object tracking and registration
• Computational anatomy and digital human
• VR/AR in medical education, diagnosis and surgery
• Medical robotics
• Brain-computer interfaces
• Data mining for biological databases
• Algorithms for molecular biology