Difference between revisions of "Content-Aware Adaptive Streaming"

From NMSL
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* [[media:discussion_25mar08.pdf | discussion_25mar08.pdf]]
 
* [[media:discussion_25mar08.pdf | discussion_25mar08.pdf]]
 
* [[media:discussion_17mar08.pdf | discussion_17mar08.pdf]]
 
* [[media:discussion_17mar08.pdf | discussion_17mar08.pdf]]
* Using only HS histogram could help reduce the feature space dimension
 
 
* Explore video quality measures
 
* Explore video quality measures
* Feature extraction 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
 
 
* Online Summary Generator (submit a video, get the summary)
 
* Online Summary Generator (submit a video, get the summary)
 
* Investigate MPEG CLD and MAD features
 
* Investigate MPEG CLD and MAD features
 
* Compared to clustering approaches we may produce more key frames for a dialog sequence that alternates between two persons?
 
* Compared to clustering approaches we may produce more key frames for a dialog sequence that alternates between two persons?
 +
* Integration with encoded video (MPEG)
 
* [[Private:Surveillance| Initial Results on Video Summarization (Login Required)]]
 
* [[Private:Surveillance| Initial Results on Video Summarization (Login Required)]]
  

Revision as of 18:28, 10 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

References and Links