Multimedia Information Retrieval

Introduction

Multimedia Information Retrieval is one of the most important task in the digital era. Semantics, Linked Data, Artificial Intelligence and BigData give uselful methodologies and tools to improve the whole information retrieval process.

Available Theses

  • Semantic Instance Segmentation for Information retrieval
  • Multimedia Document Classification and Summarization
  • Geographic Visual Representation and Spatial Information Retrieval
  • Knowledge Graph for Information Representation and Retrieval
  • Agumented reality for Information Visualization and User Interaction
  • Multimodal Content Based Information Retrieval
  • Multimedia Focused Crawler
  • Semantic Indexing
  • Multimedia Semantic Matching for Very Large Knowledge Bases
  • Very Large Knowledge Bases Visualization

Theses In progress

  • None at the moment

Project & Collaborations

  • In Progress

References

  • Antonio M. Rinaldi, Associate Professor (This email address is being protected from spambots. You need JavaScript enabled to view it.)
  • Cristian Tommasino, PhD student (This email address is being protected from spambots. You need JavaScript enabled to view it.)