student and faculty conducting research

PhD Students and Post-Doctoral Researchers

Chien-Nan Chen

  • Advisor:
      • Klara Nahrstedt
  • Departments:
    • Computer Science
  • Areas of Expertise:
      • virtual reality
      • healthcare
      • multimedia systems


  • Thesis Title:
      • Exploiting Semantic Information to Enable Efficient Content Delivery for 3D Tele-Immersion Applications
  • Thesis abstract:
      • 3D Tele-immersion (3DTI) technology allows full-body, multi-modal interaction among geographically dispersed users, which opens a variety of possibilities in cyber collaborative applications such as art performance, exergaming, and physical rehabilitation. However, with its great potential, the resource and quality demands of 3DTI rise inevitably, especially when some advanced applications target resource-limited computing environments with stringent scalability requirements. Under these circumstances, the tradeoffs between (1) resource requirements, (2) content complexity, and (3) user satisfaction in delivery of 3DTI services are magnified. In this thesis, we argue that these tradeoffs of 3DTI systems are actually avoidable when the underlying delivery chain of 3DTI takes the semantic information into consideration. We propose the concept of semantic information in 3DTI, which encompasses information about the three factors: environment, activity, and user role in 3DTI systems. With semantic information, we expect 3DTI systems to be able to (1) identify the characteristics of its computing environment to allocate computing power and bandwidth to delivery of prioritized contents, (2) pinpoint and discard the dispensable content in activity capturing according to properties of target application, and (3) differentiate contents by their contributions on fulfilling the objectives and expectation of user's role in the application so that the adaptation module can allocate resource budget accordingly. With these capabilities we can change the tradeoffs into synergy between resource requirements, content complexity, and user satisfaction. We implement semantic-information-aware 3DTI systems to verify the performance gain on the three phases in 3DTI systems' delivery chain: capturing phase, dissemination phase, and receiving phase. The implemented systems are tested with various applications span across gross/fine motor activities, high/low motion user movements, and small/large scale applications. To sum up, in this thesis we aim to change the tradeoff between requirements, complexity, and satisfaction in 3DTI services by exploiting the semantic information about the computing environment, the activity, and the user role upon the underlying delivery systems of 3DTI. We expect the proposed mechanisms will enhance the efficiency of 3DTI systems targeting on serving different purposes and 3DTI applications with different computation and scalability requirements. Visit my webpage for more details: http://web.engr.illinois.edu/~cchen116/
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Contact information:
cchen116@illinois.edu