Difference between revisions of "Content-Aware Adaptive Streaming"

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* Majid Bagheri (PhD Student)
 
* Majid Bagheri (PhD Student)
 
 
 
  
 
== Discussion and Ideas ==
 
== Discussion and Ideas ==
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* Building Hierarchical Summaries: [[media:discussion_18apr08.pdf | discussion_18apr08.pdf]]
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* Histogram-based Quality Metric: [[media:discussion_10apr08.pdf | discussion_10apr08.pdf]]
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* [[media:discussion_07apr08.pdf | discussion_07apr08.pdf]]
 
* [[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 dimension.
 
 
* 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.
 
 
* Online Summary Generator (submit a video, get the summary)
 
* Online Summary Generator (submit a video, get the summary)
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* Investigate MPEG CLD and MAD features
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* Compared to clustering approaches we may produce more key frames for a dialog sequence that alternates between two persons?
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* Integration with encoded video (MPEG)
 
* [[Private:Surveillance| Initial Results on Video Summarization (Login Required)]]
 
* [[Private:Surveillance| Initial Results on Video Summarization (Login Required)]]
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* [[ACMM08| ACMM07]]
  
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== References and Links==
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* Sanghoon Sull, Jung-Rim Kim, Yunam Kim, Hyun Sung Chang, Sang Uk Lee, [http://mpeg.korea.ac.kr/publication/international.php Scalable Hierarchical Video Summary and Search], Proc. SPIE, Vol. 4315, Storage and Retrieval for Media Databases, pp.553-561, Jan 2001. [[media:spie2001.pdf | local copy]]
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* B. Troung and S. Venkatesh, [http://portal.acm.org/ft_gateway.cfm?id=1198305&type=pdf&coll=GUIDE&dl=GUIDE&CFID=23556435&CFTOKEN=82587997  Video abstraction: A systematic review and classification], ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), Feb 2007, 3(1)
  
== References and Links==
 
 
* Y. Gong and X. Liu, [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=854772 Video summarization using singular value decomposition], in Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head Island, SC, June 2000, pp. 174–180.
 
* Y. Gong and X. Liu, [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=854772 Video summarization using singular value decomposition], in Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head Island, SC, June 2000, pp. 174–180.
  

Latest revision as of 21:28, 22 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