Special Sessions

SAMT 2006 Technical Special Sessions aimed to cover case-studies and technical and scientific advances. All papers at SAMT 2006 including papers solicited for special sessions underwent the same rigorous reviewing process by anonymous and independent reviewers. Special Session papers are published together with regular papers in the conference proceedings.

Special Sessions Chair - Contact
  • Jose M. Martinez,

Human vision perception outperforms state-of-the-art computer's segmentation and recognition algorithms, because it is additionally based on high level a priori knowledge about the semantic meaning of the objects that compose the image. Therefore, bottom-up automatic annotation and top-down context-based techniques should be combined in a single integrated methodology that handles holistically the gap between semantics and low level visual features.

This special session integrates research papers focusing on the semantic multimedia analysis utilizing contextual knowledge, with a special emphasis in the exploration of the interaction between local and global techniques and of the exploitation of visual context analysis.

Detailed Description

  • Thanos Athanasiadis,
    National Technical University of Athens, Greece
  • Phivos Mylonas, MSc,
    National Technical University of Athens, Greece
  • Dr Yannis Avrithis,
    National Technical University of Athens, Greece
SS2. Semantics and multimedia throughout the Value Chain [Cancelled]

Future commercial exploitation of Semantics and Multimedia technologies depends on the success of their integration and interoperability within the content value change, from content creation through automatic annotation to storage, transmission and rights management. A wide view and understanding of these technologies along the content lifecycle is needed from early in the research process in order to guarantee the necessary degree of interoperability.

This special session will follow an integrated value chain approach, including papers dealing with Automatic Semantic Annotation of Images, Audio and Video, Multimedia Storage and Retrieval, Multimedia Content Adaptation, Content Delivery, Privacy and Digital Rights Managements.

  • Adrian Matellanes,
    Motorola Labs, UK