Kindai University
Multimedia Understanding Group

Research Topics

The following three research topics are especially explored in MU group:

  1. Multimedia Data Analysis: We aim to develop methods that analyse a large amount of multimedia data (e.g., images, videos, music and text) to accurately identify relevant data to a certain meaning.
  2. Sensor-based Human Activity Recognition: We aim to develop methods that can accurately recognise human activities based on data, which are obtained from sensors embedded in wearable devices and environments.
  3. Multimodal Analysis: We aim to develop methods that analyse relations between different types of data, in order to improve or realise the recognition of semantic information that is difficult to recognise only with a single type of data.
  4. Human Perception-based Analysis: We aim to develop methods that extract meaningful information from a large amount of data by adopting human perception mechanisms, such as memory, adaptivity and planning. The developed methods can be utilised as fundamental technologies in the above-mentioned three topics.

 

 

Some past research topics can be found here

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