8th International Conference on Signal, Image Processing and Pattern Recognition (SIPP 2020)

March 21~22, 2020, Vienna, Austria

Scope & Topics


8th International Conference on Signal, Image Processing and Pattern Recognition (SIPP 2020) is a forum for presenting new advances and research results in the fields of Signal and Image Processing. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world.


Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences. Topics of interest include, but are not limited to, the following:

Topics of interest include, but are not limited to, the following:

  • Image Acquisition & Medical Image Processing
  • Pattern Recognition and Analysis
  • Visualization
  • Image Coding and Compression
  • Face Recognition & Super-Resolution Imaging
  • Image Segmentation
  • 3-D and Surface Reconstruction
  • 3D and Stereo Imaging
  • Analog and Mixed Signal Processing
  • Application & Others
  • Applications (Biomedical, Bioinformatics, Genomic, Seismic, Radar, Sonar, Remote Sensing, Positioning, etc.)
  • Array Signal Processing
  • Audio/Speech Processing and Coding
  • Digital & Mobile Signal Processing
  • Statistical & Optical Signal Processing
  • Data Mining Techniques
  • Motion Detection
  • Content-Based Image Retrieval
  • Video Signal Processing
  • Watermarking
  • Detection and Estimation of Signal Parameters
  • Signal Identification
  • Nonlinear Signals and Systems
  • Time-Frequency Signal Analysis
  • Signal Reconstruction
  • Spectral Analysis
  • Filter Design and Structures
  • FIR, IIR, Adaptive Filters
  • Signal Noise Control
  • Multiple Filtering and Filter Banks
  • Performance Evaluation
  • Radar Signal Processing
  • Remote Sensing
  • Segmentation
  • Sensor Array and Multi-Channel Processing

  • Biomedical Imaging Technologies
  • Biometrics and Pattern Recognition
  • Cognitive and Biologically-Inspired Vision
  • Color and Texture
  • Communication Signal processing
  • Computer Communication and Networks
  • Computer Vision & VR
  • Constraint Processing
  • Distributed Source Coding
  • Document Recognition
  • DSP Implementation and Embedded Systems
  • Face and Gesture
  • Hardware Implementation for Signal Processing
  • Higher Order Spectral Analysis
  • Illumination and Reflectance Modeling
  • Image and Video Retrieval
  • Image Processing & Understanding
  • Image-Based Modeling
  • Internet Signal Processing
  • Knowledge Representation and High-Level Vision
  • Medical Image Analysis
  • Motion and Tracking Stereo and Structure from Motion
  • Multidimensional Signal Processing
  • Multi-View Geometry
  • Neural Networks and Genetic Algorithms
  • Object Detection, Recognition and Categorization
  • Pattern Recognition in New Modalities
  • PDE for Image Processing
  • Sonar Signal Processing and Localization
  • Speech, Audio and Music Processing
  • Statistic Learning & Pattern Recognition
  • Text Processing
  • Time-Frequency/Time-Scale Analysis
  • Video Analysis and Event Recognition
  • Video Compression & Streaming
  • Video Surveillance and Monitoring
  • Shape Representation
  • Signal Processing Education

Paper Submission

Authors are invited to submit papers through the conference Submission System by November 23, 2019.

Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Submit

Important Dates

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Submission Deadline : November 23, 2019

Authors Notification : January 02, 2020

Registration & Camera-Ready Paper Due : January 10, 2020

Courtesy

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Invited Talk



Proceedings


Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library