Difference between revisions of "Content-Aware Adaptive Streaming"

From NMSL
Line 19: Line 19:
 
* Explore video quality measures
 
* Explore video quality measures
 
* The feature space idea can be used to design a new quality metric. Frames from the original and the scaled sequence are mapped to a lower dimension and the distance is measured.
 
* The feature space idea can be used to design a new quality metric. Frames from the original and the scaled sequence are mapped to a lower dimension and the distance is measured.
 +
* Summary Generator Script (submit a video, get the summary)
 
* [[Private:Surveillance|Surveillance (Login Required)]]
 
* [[Private:Surveillance|Surveillance (Login Required)]]
  

Revision as of 11:09, 1 April 2008

We are designing adaptive streaming algorithms that are based on the visual content of the video streams. The goal is to adaptively transmit the most important frames to clients to yield the best quality. Several ideas are being explored, including: real time and offline processing of video streams, summarization of sports videos, and adaptation of multi-layer scalable video streams.


People

  • Majid Bagheri (PhD Student)



Discussion and Ideas

  • discussion_25mar08.pdf
  • discussion_17mar08.pdf
  • Using only HS histogram could help reduce the dimension.
  • Explore video quality measures
  • The feature space idea can be used to design a new quality metric. Frames from the original and the scaled sequence are mapped to a lower dimension and the distance is measured.
  • Summary Generator Script (submit a video, get the summary)
  • Surveillance (Login Required)


References and Links