Networked Multimedia Information Systems Laboratory (NeMIS)

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Head: Fausto Rabitti

NeMIS is a Research Laboratory of ISTI-CNR, consisting of 12 permanent researchers and 34 non-permanent and associate researchers. NeMIS also constitutes the Research Unit (i.e., Commessa, according to the current CNR organization) in the context of the ICT-CNR Department.

The main objective of the NeMIS laboratory is the research and development of technologies for the management, distribution, and fruition of multimedia information, i.e., information represented not only in textual form but also in other forms, like images, audio/video, etc.. Designing and developing networked multimedia information systems involves a multitude of aspects including: acquisition, access, presentation, and communication, and presents and will continue to present great challenges to computer scientists and engineers. We expect that, in the coming years, there will be a tremendous growth in the use of multimedia applications and, thus, the design of efficient and cost-effective networked multimedia information systems will be of central importance to the growth of a multitude of applications. The research and development activities in the "Networked Multimedia Information Systems" Lab aim at developing algorithms, techniques, and methods for information modeling, access, and handling, as well as new architectures and system services supporting large networked multimedia information systems, such are digital libraries. These systems will impact on applications areas such as Cultural heritage, publishing, broadcasting/interactive TV, e-learning, e-government, medicine, etc.

Research areas:

  1. Next-generation digital libraries
  2. Multimedia Content Access, Enhancement and Management
  3. Advanced Information Retrieval

Research directions:

  1. Peer-to-peer and Grid digital library infrastructures
    • Digital Library management systems
    • Infrastructures for distributed (GRID, P2P) Digital Library systems and services
  2. Multimedia Similarity Search
    • Distributed access methods for similarity searching
    • Efficient content search of image, video stream based on MPEG7 metadata (MILOS)
  3. Automatic text and image categorization
    • Automatic generation of text classifiers
    • Automatic generation of image classifiers
    • Applications of text and image automatic classification
  4. Cross-language information access
    • Cross-language information retrieval
    • Support to evaluation: CLEF (Cross-Language Evaluation Forum)
  5. Ontology management and interoperability
    • Logic-probabilistic framework for uncertain knowledge representation
    • Automatic ontology alignment
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